Data Operations Resume Samples

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GS
G Schumm
Giovanna
Schumm
5834 Daisha Road
Dallas
TX
5834 Daisha Road
Dallas
TX
Experience Experience
04/2015 – present
Detroit, MI
Senior Data Operations Analyst
Senior Data Operations Analyst
04/2015 – present
Detroit, MI
Senior Data Operations Analyst
04/2015 – present
  • Perform data analysis of key problem areas to assist in root cause analysis
  • Occasionally assist with development and execution of test plans
  • Lead and work with a fantastic group of analysts
  • Assist in testing and validating data in software systems
  • Perform data validation for new or changing source data & identify opportunities for automated
  • Provide occasional one time reports for internal and external parties
  • Notify and communicate with partner relationship for incident\problems being worked on
01/2012 – 12/2014
Dallas, TX
Data Operations Manager
Data Operations Manager
01/2012 – 12/2014
Dallas, TX
Data Operations Manager
01/2012 – 12/2014
  • Proven success in building, motivating and retaining teams
  • Coordinate with key members of several Data Communities to correct data during the close window to assure the overall quality of downstream reporting
  • Provide training to support groups and oversee/authorize end-user access to create/update data, playing a key role in adoption of standards
  • Work as part of a multi-function team to correct data during the close window to assure the overall quality of downstream reporting
  • Oversee training material updates and communications to end-users
  • Manage a team of up to twenty Associates and Specialists, including a Team Lead and Team Coordinator
  • Strategic planning for Davita’s data services platform
05/2006 – 07/2011
Boston, MA
Data Operations Analyst
Data Operations Analyst
05/2006 – 07/2011
Boston, MA
Data Operations Analyst
05/2006 – 07/2011
  • Providing on-going tracking and monitoring of performance of decision systems and statistical models
  • Working closely with different teams to solve problems related to client analytics
  • Working in iterative processes with the client and validates findings
  • Provide visibility to Data Quality issues and work with the business owners to fix the issues
  • Partnering with the data steward to ensure that all information utilized adheres to compliance, access management, and control policies as set forth by GDIA
  • Performing experimental design approaches to validating findings or testing hypothesis which provide business value
  • Define and implement data quality controls, workflows, and problem escalation and correction procedures
Education Education
Bachelor’s Degree in Business
Georgia Southern University
Bachelor’s Degree in Business
Skills Skills
  • Ability to present complex information in an understandable and compelling manner
  • Establish and enforce guidelines to ensure consistency, quality and completeness of all JPMIS data assets
  • Apply quality assurance best practices to all work products
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Experience utilizing and extending ETL solutions (e.g., Informatica, Talend, Pentaho, Ab Initio) in a complex, high-volume data environment
  • Effectively partner with the different teams to drive usage and improvement of data asset that drives analytics within JPMIS and for our strategic partners
  • Innovate new ways of managing, transforming and validating data
  • Experience in data mining techniques and procedures and knowing when their use is appropriate
  • Experience in industry leading Business Intelligence tools
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1

Senior Data Operations Analyst Resume Examples & Samples

  • Oversee and manage the integration and consolidation of risk data from the investment boutiques with the enterprise risk data in the enterprise risk system
  • Understand data sources, data structure and data capture and reporting systems in TIAA Asset Management
  • Understand data sources, data structure and data capture and reporting systems in the investment boutiques
  • Develop data mapping, integration and consolidation approach, methodology and tools
  • Implement data mapping, integration and consolidation
  • Validate and maintain risk data quality in the mapping, integration and consolidation process
  • Collaborate with Enterprise Risk function to understand the enterprise risk framework (risk principles, risk standards, etc.) and to ensure that the consolidated risk data from the investment boutiques are consistent with that framework
  • Collaborate with Enterprise Risk function to understand the enterprise risk reporting system to ensure the efficient consolidation of investment boutiques risk data
2

Data Operations Analyst Resume Examples & Samples

  • Define and centrally own operational processes and procedures to manage and maintain data used for reporting and analytics across the Asset Management division, while working closely with offshore team
  • Monitor source data feeds, review exception reports, create canned and ad-hoc reports for internal clients, and responding to client inquiries
  • Collaborate with IT to implement and/or enhance tools and applications to support the data operations processes
  • Define and implement data quality controls, workflows, and problem escalation and correction procedures
  • Monitor alerts and reports, research discrepancies, resolve exceptions, and review and sign-off on data accuracy and completeness
  • Partner with Risk, Portfolio Teams, Distribution and Product Strategy to identify additional data needs, respond to ad-hoc requests and resolve exceptions
  • Deliver data quality by continuously identifying areas for process and systems improvement, and providing solution recommendations
  • Assist in data management projects by providing subject matter expertise and participating in user acceptance testing, performing data analysis and presenting findings necessary for project advancement
  • Manage relationships with internal stakeholders. Present to senior management
  • Advanced data analysis skills using MS Excel/Access and reporting tools to import, analyze and report on data
  • Good understanding of data structures
  • Solid written and verbal communication skills with a customer service orientation
  • Self-motivated and able to work under tight deadlines in a dynamic environment
  • Prior experience in developing data quality management capability through IT or vendor tools
  • Implementation project and built out experience
  • Basic database skills and the ability to write basic SQL statements for data investigation
  • Basic understanding of IT concepts including FTP and batch file processing
3

Product Data Operations Resume Examples & Samples

  • Remotely managing people including coaching, career development and performance feedback (team is based in Mumbai)
  • Prioritising the workload of the team and to be able to contribute to the data quality rules set up by the team and ensuring that the exceptions identified are managed within tight deadlines
  • Learning and performing functions in order to be able to manage and perform checking of workings performed by team members to ensure the highest standards of accuracy are reached
  • Acquiring an intricate knowledge of the Firm?s product data, flow of the data in the firm systems, impact of poor quality data, building the ability to understand the wider environment and question data integrity
  • Identifying, defining and coordinating development of rules to monitor the data quality of securities reference data (incl. equities, listed derivatives and fixed-income products and pricing) against external data providers (incl. Bloomberg and Reuters) and direct exchange feeds
  • Identification and implementation of process improvements as well as contributing to the ongoing change projects impacting the team
  • Analysing and improving processes, identifying and managing risk and guiding the team. As such communication and organisational skills as well as attention to detail and a readiness to escalate issues with a sense of urgency are of importance
  • Engaging with stakeholders across multiple business units (incl. trading desks, risk, production management, business analysts and IT development) and data vendors (incl. Reuters, Bloomberg and Smartstream) to capture requirements and communicate status on data quality initiatives
  • Operating as a senior member within the Global Product Data Operations management team for Listed Derivatives and Cash Equity Product Data
  • Ensuring the team adhere to Firmwide and Operations policies and proceures
4

Data Operations Analyst Resume Examples & Samples

  • Generate and deliver recurring reporting for Business Information Team supported business units within predetermined deadlines
  • Daily use of Access databases, Excel workbooks and SQL tables
  • Manage existing documentation and create new documentation in response to changing business needs and processes
  • Coordinate with IT to remedy technical issues impacting mission-critical data sources or output
5

Senior Data Operations Analyst Risk Resume Examples & Samples

  • 7 to 10 years of hands on experience in database management, data mapping / integration / conversion in the financial industry
  • Extensive knowledge of investment operations
  • Prior business intelligence experience
  • % + years of experience in risk management or audit
  • Proven track record in delivering innovative solutions
  • Proven track record in delivering projects on time and on budget
  • Analytical problem solver
  • Approximately 10% travel
6

Fixed Income Data Operations Analyst Resume Examples & Samples

  • Remotely managing people including coaching and performance feedback
  • Prioritising the workload of the team and to be able to contribute to the established data quality and ensuring that the exceptions identified are managed within tight deadlines
  • Root-cause analysis of data quality exceptions to determine trends in the data, identify inaccuracies in external data providers' feeds and recommend opportunities to increase efficiency and productivity
  • Ongoing review of procedures in order to identify and implement process improvements, manage risk as well as contributing to the ongoing change projects impacting the team
  • Excellent communication and organisational skills, attention to detail and confidence/readiness to escalate issues with a sense of urgency
  • Engaging with stakeholders across multiple business units (incl. trading desks, risk, production management, business analysts and IT development) and data vendors (incl. Interactive Data, Bloomberg, CUSIP, DTCC, etc.) to capture requirements and communicate status on data quality initiatives
  • Oversee work on a variety of Fixed Income projects aimed at reducing firm risk, client exposure and enhance processes
  • Act as primary team contact for Audit
  • Ensuring functional documentation is current including policy and procedure guides
  • Ensuring the team adhere to Firmwide and Operations policies and procedures
7

Data Operations Analyst Resume Examples & Samples

  • Excellent written & oral skills in the required European language
  • Experience of working with excel and access is desirable but not essential
  • Experience of implementing a process improvement is desirable but not essential
  • Experience of working on a project – either as the project owner or as part of the project team
  • Customer Serviced experience essential
8

IB Foundation Data-operations Resume Examples & Samples

  • BA support to Collateral deliveries under the IB Foundation Data Programme
  • Provide business analyst support to deliver 4 key changes to the XColl suite
  • Deliver robust business requirement documents and review IT functional specs as well as supporting QA & UAT
  • Liaise with upstream RMS system change and IT teams to ensure project dependencies are included in the analysis and are in line with the project & Programme plan
  • Provide visibility over project R&Is, constraints and dependencies as well as regular progress updates
9

IB Foundation Data-operations Resume Examples & Samples

  • BA support to Securities delivery under the IB Foundation Data Programme
  • Provide business analyst support to support TCA Adoption of Golden Source Standard Settlement Instructions & Confirmation Instructions (SSI & CI)
  • Deliver robust business requirement documents and review IT functional specs as well as providing Non-IT support to QA & UAT
  • Liaise with GDS change and IT teams to ensure project dependencies are included in the analysis and are in line with the project & Programme plan
10

Manager, Product Data Operations Resume Examples & Samples

  • Drive the vision and strategy for scaling Product Data Operations to support the growing needs of Facebook engineering and Community Operations teams
  • Directly interface with Engineering and Business owners to identify new projects and scale the programs
  • Encourage a data-driven culture to improve the quality, efficiency, scalability, stability for all the projects
  • Recruit, inspire, and grow the full-time team responsible for managing Product Data Operations
  • Manage and coach the team to drive for results and have an impact via ongoing coaching, performance feedback as well as career and personal development
  • Direct responsibility for the Product Data Operations function, which includes managing teams of project managers and 100+ contractors that support the ongoing Product Data Operations
  • Accountable for recruiting, selecting, orienting, training, assigning, scheduling, contractor/vendor workforce, communicating job expectations, planning, monitoring quality, reviewing contributions, enforcing policies and procedures
  • Direct and oversee the day to day operations to ensure the projects meet product/engineering and operational goals and metrics
  • Develop and implement processes and policies, directs project management staff, and works with other XFN partners to define, prioritize, and develop projects and programs
  • Influence and collaborate with key engineering partners to develop scalable tools for improved workflows for the operations teams
  • Manage the financial objectives by partnering with cross functional partners to forecast needs, along with working with finance to manage the annual budget
  • Manage all the contractors/vendor relationships and related commitments
  • Partner with Outsourcing function to evaluate how to scale mature workflows with outsourced partners
11

Coo-global Reference Data Operations Resume Examples & Samples

  • Relationship management with business sponsors and user base
  • Plan and project manage the adoption of the new strategic platform for all Fixed Income business lines, liaising with the rest of the Reference Data organizations (Tech & Ops) to that effect
  • Oversee the end-to-end delivery of business requirements, by project managing the following functions: requirements gathering, analysis, specification and testing in an Agile Development framework
  • Create project plans through rigorous process with clear objectives, roles, tasks, milestones, budget and measures of success
  • Maintain a backlog of requests and facilitate prioritisation to ensure resources are directed to meet the top priority requirements
  • Own and develop formal communications – including status updates, and assist in the business sign-off process
  • Liaise with Application Development areas to ensure successful and smooth implementation
12

VP-product Reference Data Operations Resume Examples & Samples

  • Identifying existing product and services reference data, including where sourced, stored and consumed, implicitly and explicitly
  • Understanding how data flows from the transaction processing/product systems, is mapped into Finance and Risk repositories, and its ultimate use in the key finance and risk disciplines
  • Determining key users, and understanding use cases for product and services reference data in Finance and Risk, including a focus on analysis and reporting issues that would be solved through improved reference data and associated processes
  • Defining a strategy for how product and services reference data will be structured, maintained, distributed and consumed, and associated with data flowing from the transaction processing/product systems, to present standardized data set(s)
  • Designing the target-state operating model to maintain and distribute the reference data
  • Determining how to drive adoption technologically with data providers and for data consumers, including guiding development of formal business requirements, where necessary
  • Designing and executing an ongoing data quality program for product and services reference data
  • Executing on the target-state operating model and adoption process
  • Understanding of the key finance and risk disciplines, including financial reporting, credit risk, market risk, model risk, liquidity risk, interest rate risk, etc
  • Knowledge of data sources and repositories related to these key finance and risk disciplines
  • A deeply analytical mindset and strong intellect, plus the ability to communicate clearly complex topics in PowerPoint and spoken form
  • Ability to drive technological and operating model change
  • Lead and execute one to two strategic and operational initiatives simultaneously
  • Structure and execute initiatives by developing work plans, gathering and synthesizing relevant data, leading analyses and developing final recommendations
  • Define workstreams/roles for and manage junior team members
  • Conduct interviews with key contacts in Finance, Risk and IT/Data across the organization to rapidly gain working knowledge of key finance and risk disciplines
  • Lead analysis to test hypotheses and develop opportunities (including data gathering, modeling and synthesis of results)
  • Develop and refine recommended solutions to address issues and capture opportunities, including business architecture, and providing strong vision/direction to IT architecture, including guiding development of formal business requirements, where necessary
  • In addition to transformational solutions, develop sustainable programs around data quality
  • Present findings/analysis and recommendations to senior management
  • Achieve measurable targets as established in program charters, and ensure program success
  • Collaborate with cross-functional stakeholders in driving strategic initiatives
  • Achieve measurable targets as established in an initiative’s charter, and ensure project success, e.g., for data quality
  • Actively build the knowledge and skill base of the team
  • Experience in the financial services industry and/or financial industry knowledge is essential, and knowledge of key finance and risk disciplines is highly desirable
  • Analytical skills: Highly analytical, with experience in defining analytical approaches for projects and collecting, analyzing, and synthesizing data from multiple sources to develop actionable solutions
  • Comfort with Data and Technology: Prior experience functioning in roles and functions that are highly data-driven and that required understanding of data models and flows, and technology architecture as related to business requirements, including comfort interacting with internal technology teams
  • Project management skills: Ability to manage own workstreams, direct workstreams of others, create workable workstream plans and execute on such plans. Must be able to meet commitments and balance competing priorities
  • Client management skills: Demonstrated ability to closely partner with senior and line managers and other stakeholders in Reference Data Operations, finance, risk, lines of business and technology
  • Communications skills: Excellent written and oral executive-level communications skills, including the ability to quickly convey complex topics in easily understood formats
  • Superior knowledge and comfort with Excel and PowerPoint/PitchPro
13

Coo-global Reference Data Operations Resume Examples & Samples

  • Collaborate with Business Process Stakeholders, Data Domain Executives / Leads and other team members to translate Industry / NAICS business requirements into the appropriate data requirements
  • Understand, disseminate and help adopt applicable policies, standards and processes corresponding to Industry, Internal Party, and External Party data domain(s)
  • Work with the Chief Information Architect and Data Domain Lead to review data profiling results and recommend authoritative data source(s) for Industry values and Assignment data within the data domain(s)
  • Provide input (e.g., data impact analysis) to Data Domain Executive(s) and/or Data Domain Lead(s) for data quality issue prioritization
  • Monitor changes to business data requirements and help ensure that change and release management activities are executed for the data domain(s)
  • Work in partnership with Business and Data Architect(s) to provide subject matter advise in support of solution design for optimal integration with existing business processes
  • Facilitate User Acceptance Testing (UAT) by Business Process Stakeholder(s)
  • Provide input to business process training materials to Business Process Stakeholder(s)
  • Understands how data is used within business processes and its impact on desired business process outcomes
  • Strong knowledge of Industry / Common Data attributes, experience with NAICS or other industry values preferred
  • Experience with data analysis and data quality assessment techniques
  • Ability to manage a complex workload that includes multiple tasks and conflicting priorities with minimal supervision
  • Capable of examining data trends to determine the root cause of variations
  • Skilled in conceptualizing, documenting and presenting creative solutions
  • Education and training related to business process improvement and its desired business outcomes, and quality-assurance methods (for example, popular quality-oriented methodologies such as Six Sigma), are preferred
  • Possesses knowledge of data lifecycle activities such as data definitions, data lineage and data quality
  • Minimum 10 years of previous experience working on complex financial projects / programs
  • Proficient in Microsoft Office tools, especially PowerPoint and Excel
14

Data Operations Analyst Resume Examples & Samples

  • Analytics & Modeling
  • Credit Risk
  • Market Risk
  • Valuation Services
  • Manage user access to these applications, maintain user profiles and do periodic user access reviews/certification
  • Setup funds, create/assign benchmarks, maintain fund hierarchy, maintain security/positions/transaction data; supply missing data; correct any wrong data
  • Look at data reconciliation reports and breaks and take necessary corrective actions
  • Follow up with upstream systems and vendors on data issues
  • Monitor exceptions from various risk engines like Yieldbook, POINT and Barra and take necessary corrective actions including supplying missing data or correcting data, proxying securities, etc
  • Setup user defined instruments in POINT and Yieldbook, supply missing data such as sink/call/put schedules, etc
  • Act as a first line of defense to review market values / analytics from various risk engines and escalate to vendors and / or Risk Managers as necessary
  • Field data questions from Risk Managers, Portfolio Managers
  • Perform project management related tasks for the team
  • Minimum of 3+ years of data operations analyst experience is required
  • An understanding of financial data and financial products is required
  • Prior Experience with Risk Systems like POINT, Yieldbook, Barra, RiskMetrics is preferred
  • Understanding of Risk Analytics and Methodologies is preferred
  • Experience of working with vendors is preferred
  • Good command over XL macros
15

Data Operations Analyst Resume Examples & Samples

  • Use of MVS/OS JCL for mainframe. Work with mainframe VSAM and flat files
  • Use of the Rochade metadata tool
  • Support for Oracles OBIEE data mining tool
  • Incident Troubleshooting for Omni Plus & ADABAS
  • Experience with IBM OPTIM
  • Bachelor's Degree or equivalent work experience in Computer Science, Information Systems, or other related field REQUIRED
  • Minimum of 6 years of related work experience in test / training environment management functions REQUIRED
  • Minimum 5 years of extensive user and technical experience with the Sungard – Omni plus online and batch system REQUIRED
  • Strong understanding of the SDLC life cycle with hands on experience in the testing phase
  • Be able to clearly communicate and articulate requirements with end-users
16

Global Reference Data Operations Resume Examples & Samples

  • Partner with senior leadership to define and implement Program Management framework, including: appropriate governance and oversight, project prioritization and resource allocation, project lifecycle disciplines and reporting, business case development, costs and benefits
  • Participate in the development and implementation of globally consistent operational processes, location strategy planning and execution, strategic and tactical initiatives with the Global Reference Data Operations Model
  • Monitor projects on an ongoing basis, evaluating progress and quality, managing issue resolution and taking corrective action as necessary
  • Communicate project progress and recommendations/decisions to senior leadership; develop effective presentations and project update materials suitable for senior executives
  • Partner closely with Firmwide Finance and Risk, Firmwide Data Management and other internal stakeholders to provide them with analysis and assessment of the above-mentioned activities
  • Minimum of 3-5 years of program and/or project management experience required, with a demonstrated track record of successful delivery
  • Adept in the areas of multi-tasking, meeting deadlines and commitments, and balancing priorities
  • Ability to manage multiple projects/work streams, scope projects, and create workable project plans
  • Demonstrated knowledge of operational/project management best practices
  • Outstanding ability to analyze problems and apply quantitative analytical approaches
  • Strong written and verbal communications skills, including the ability to quickly adjust messages based on different audiences and agendas
  • Flexible work style, be able to work effectively with stakeholders and colleagues at all levels
  • Advanced proficiency with MS Excel and PowerPoint
17

Global Reference Data Operations Resume Examples & Samples

  • Define and implement Program Management framework, including: appropriate governance and oversight, project prioritization and resource allocation, project lifecycle disciplines and reporting, business case development, costs and benefits
  • Support several project deliverables associated with the Global Reference Data Operations Operating Model, including development and implementation of globally consistent operational processes, location strategy planning and execution, strategic and tactical initiatives
  • Communicate project progress and recommendations/decisions; develop effective presentations and project update materials suitable for senior executives
  • Minimum of 6-8 years of program and/or project management experience required, with a demonstrated track record of successful delivery
18

Manager, Data Operations Resume Examples & Samples

  • Outstanding Excel skills
  • Highly proficient in other MS Office products, including PowerPoint, Access, and Word
  • Experience with Tableau, Cognos, Microstrategy, or other BI Tools
  • Strong business acumen
  • High intellectual horsepower - a proven ability to articulate critical thinking skills
  • Demonstrates creative thinking and initiative
  • Ability to juggle many competing tasks and projects simultaneously
  • Experience in data governance
  • Knowledge of Teradata systems
  • Experience with Salesforce.com back end data tables
  • Excel VBA experience
  • Familiarity with Dun & Bradstreet, TNS and other 3rd party telecom data vendors
  • Bachelor’s degree required / MBA a plus
19

Data Operations Analyst Resume Examples & Samples

  • Ensure all Consumer and Commercial credit performance data is received into Equifax from the client as per the production data receipt schedule
  • Utilising appropriate software applications and procedures ensure data is loaded to the target database within Service Level Agreement (SLA)
  • Working with Sales Managers, participate in the boarding of new clients through the Data Boarding process, ensuring all data is effectively tested prior to promoting to production 'BAU'
  • Compile accurate monthly metrics and reports to monitor data quality, data volumes and identify areas for data quality and process improvement
  • Liaise with the Signature Support and Client Delivery and Fulfillment team to resolve client disputes, queries and incidents in a timely and professional manner
  • Data validation / loading skills
  • Some level of experience of boarding data types & managing multiple data suppliers
  • Knowledge of Closed User Groups & Data Transfer mechanisms an advantage
  • Excellent knowledge of Microsoft Word, Excel, Power Point, Sharepoint
  • Any SAS/ETL/ SQL/UNIX/JCL skills would be an advantage
  • Understanding of Equifax customer workflows an advantage
  • Experience in quality reporting and data metrics
  • Experience of working in a client focused environment
  • Experience of Change, Problem and Incident Management
20

Data Operations Manager Resume Examples & Samples

  • Work with IT and CDO community to design, develop and implement target state data application architecture
  • Translate business and information requirements into data models, dataflow diagrams, and use cases
  • Work with business community to identify and document requirements for a Data Governance tool
  • Represent GBM at Group Data Working Groups, working with data experts from other Global Businesses and Functions to review, approve, and implement a group data management capability to support the Group Data vision to create a cohesive strategy for data governance with unambiguous definitions, standard, and ownership
  • Work with IT delivery team and data stewards as part of the Data Design Authority to ensure project solutions are in line with target state systems architecture
  • Oversee the delivery of data initiatives (across the Software Development Lifecycle) to ensure alignment and conformance to target state systems and architecture
  • Provide data consultancy and support to Stakeholders across the project lifecycle
  • Support business and data quality teams to perform tactical and strategic resolution facilitation of high priority data related issues
  • The jobholder will be required to engage with and get buy-in from the stakeholders and business SME’s as well as interact regularly with other GB/GF Working Group members
  • The job holder will play a proactive role in the Group level data governance forums
  • Over ten years’ experience working with business data design and architecture development
  • Experience of developing Business focused logical data models and architecture for large financial institutions
  • Knowledge and experience of IT Vendors and Products working in the Data Management space
  • Knowledge and experience of Data Management Tools
  • Navigating – understanding and translating Change Delivery objectives and aligning directions accordingly
  • Driving – setting stretching goals for self and teams and delivering them with courage and tenacity
  • Mobilizing – authentically engaging with team, colleagues and business partners to deliver at pace
  • Sustaining – making considered decisions that protect and enhance HSBC values, reputation and business
21

Data Operations Resume Examples & Samples

  • Effectively partner with the Data Insights team to drive usage and improvement of the IntelliStor data asset that drives analytics within JPMIS and for our strategic partners
  • Innovate new ways of managing, transforming and validating data
  • Establish and enforce guidelines to ensure consistency, quality and completeness of all JPMIS data assets
  • Apply quality assurance best practices to all work products
  • Financial Services background or experience preferred across different LOBs. (Consumer, Commercial, Asset Management & CIB)
  • Proven proficiency with data and quantitative research techniques
  • Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way
  • Intensive, recent experience in assessing and sourcing data needs
  • Detail oriented with a commitment to innovation
  • Experience in industry leading Business Intelligence tools
  • Experience in data mining techniques and procedures and knowing when their use is appropriate
  • Experience utilizing and extending ETL solutions (e.g., Informatica, Talend, Pentaho, Ab Initio) in a complex, high-volume data environment
  • Knowledge of Big Data technologies (e.g., Hadoop, GreenPlum) is preferred
  • Knowledge of statistics, at least to the degree necessary in order to communicate easily with statisticians is a plus
  • Knowledge of Java (Core, Servlets, JDBC) or Python development is required
  • Experience with machine learning is preferred
22

Data Operations Resume Examples & Samples

  • Key participant in creating and implementing a data management/governance framework for JPMIS
  • Develop and plan required data sourcing and transformation projects in response to business needs
  • Schedule, organize and manage new information & data management activities for JPMIS
  • Create and enforce guidelines to ensure consistency, quality and completeness of all JPMIS data assets
  • BE/Btech with over 14+ years of Technology experience
  • Technology Leadership Attributes
  • Financial Services background or with experience in one or more line of businesses (Consumer, Commercial, Asset management, Investment Banking)
  • Technical skills as demonstrated by analytical experience
  • Deep experience across the full range of database and business intelligence tools; publishing and presenting information in an engaging way
  • A proven track record of strategic thought leadership
  • Demonstrated ability to build and mentor high performing teams
  • Knowledge of Java (Core, Servlets, JDBC) and Python development is preferred
23

Intern Marketplace Data Operations Resume Examples & Samples

  • Manage product data for marketplace articles
  • Reporting on article completeness
  • Ensure products go live on time
  • Support day to day marketplace business
  • Be a key part of new marketplace rollouts
  • Support rollout of a new PIM system for eCommerce Europe
  • Pro-active (engaging & impact-oriented) mindset, ability to think end-to-end
  • Ability to work in a fast-paced environment with different international cultures
  • Problem solving skills – able to identify, analyze and propose solutions to various technical and business issues
  • Fluent in English, both written and verbal
  • Aptitude for learning
  • Organized, hard-working, fun
  • Enrolled in a university College or university degree with focus IT or related areas, or equivalent of education
  • Experience with Pentaho Data Integration preferred
  • Experience in Databases (SQL)
  • Excellent Excel knowledge
24

VP, Global Reference Data Operations Resume Examples & Samples

  • Ability & enthusiasm to execute the vision & strategy within APRD as we centralize our reference data, on-boarding over 700 applications to our strategic architecture
  • Manage the relationship with business sponsors and user base
  • Assist with the planning and project management relating to the adoption of the new strategic platform for all Risk and/or Compliance business lines, liaising with the rest of the Reference Data organizations (Tech & Ops)
  • Work with the Functional Delivery Manager in creating project plans through rigorous process with clear objectives, roles, tasks, milestones, budget and measures of success
  • Actively manage issues and risks for the area(s) in question, including escalations, related to projects, deliverables and requests from the Business
  • Act as proxy for the Functional Delivery Manager when appropriate
  • Help maintain a backlog of requests and facilitate prioritization to ensure resources are directed to meet the top priority requirements
  • Coordinate and work with analysts, developers and testers for software build, coordinate UAT, business sign off and user training
25

L Data Operations Engineer Resume Examples & Samples

  • Deep-diving into complex troubleshoots (leveraging tools, such as wireshark), implementing changes, and serving as an escalation for the level 1 and 2 teams
  • Creating and maintaining best practices / policies and ensuring that they are followed
  • Work with Project Managers to develop the execution and test plans for the network changes on a weekly basis
  • Participate in the weekly design meetings and actively engage with various engineering teams to review the infrastructure
  • Actively participate in the weekly Change Advisory Board meetings to explain their changes and answer any questions from the change board
  • Roll out production changes over the weekends (when required) as per guidelines from a Project Manager
  • A solid understanding of data networking principles pertaining to the LAN/WAN infrastructure
  • Technical strengths in Cisco routing/switching, BGP, OSPF and related protocols
  • Must be able to troubleshoot and provide a day to day Level 3 operational support as a part of Global Network Operations Center (NOC)
  • Must possess strong analytical and problem solving skills
  • Past experience utilizing Wireshark for packet capture and analysis, multicast,
  • Must be able to prioritize and execute various Network changes without causing any negative impact to the production environments
  • Must be highly fluent with MS Office (word, excel, visio and power point)
  • Experience with other vendor routers/switches (Juniper, Arista, HP, BNT, etc)
  • Big plus if proficient and experienced in Unix, Automation and/or various NMS tools
26

VP, Global Reference Data Operations Resume Examples & Samples

  • Evaluate risks and controls across all Delaware-based operations
  • Manage the daily health check and incident management process
  • Monitor risk through reviews of key incidences and root cause analysis. Ensure the development and tracking of key risk indicators to identify emerging risks within the Operations
  • Lead operations engagement in the Risk and Control Self Assessment (RCSA) process
  • Manage action plan creation and execution – ensure effective and timely closure of items
  • Serve as a key contact for regulatory, risk, or control questions pertaining to the local operations units
  • Participate in control reviews, providing feedback on actions and improvements
  • Partner with Global Controls Program lead in ensuring compliance with User Tool, Inter-affiliate Service, Business Resiliency, and Third Party Oversight policies
  • Partner with other key control functions; Coordinate / lead audit engagement
  • Facilitate Control Meetings with Operations partners, including the Operations Executive for APRD
  • Bachelor's degree or equivalent experience in accounting, finance, business or related field
  • 7 to 10 years in the financial services industry; including background in operational risk management, audit, compliance, or operations
  • Demonstrated experience in risk and control self-assessments, including process documentation and data analysis skills
  • Self-motivated & confident decision-maker with the ability to demonstrate leadership, challenging and influencing change where necessary
  • Strong interpersonal and analytic skills, particularly influencing and negotiation
  • Results oriented/self-motivator
27

Data Operations Analyst Resume Examples & Samples

  • Problem formulation together with business partners
  • Identification and documentation of existing data from multiple systems globally
  • Analyzing new and existing data sources to establish fit for use cases
  • Collaborating with Analytics and IT teams to transform the data for use in modeling and visualizations
  • Able to identify relationships in data to assist in providing insights
  • Work with cross-functional teams to achieve results
  • Work cross-functionally to manage data and analytic projects
  • Improve department results through innovation
  • Master’s degree in Business, Information Technology, Analytics
  • Master Data Management (MDM or CRM)
  • Strong collaboration and communications skills
  • Demonstrated problem formulation and problem solving skills
  • Ability to take complex problems and break them down to create and implement an action plan
  • Communicate findings to make data analysis actionable and understandable by business partners, including IT and analytics
  • Candidates could have experience with using some data analysis tools such as: SQL, Hadoop, Teradata, SAS, Excel, MS Access, etc
  • Business development and relationship building to establish partnerships with third parties and internal stakeholders
  • Strong understanding of analysis and computational complexity and ability to programmatically solve problems
28

L Data Operations Engineer Resume Examples & Samples

  • The candidate will be responsible for supporting global data infrastructure, including Incident, Problem, and Change Management as part of a global “follow the sun” group
  • Apply, examine, support and troubleshoot a global network including routers, switches, WAAS, Load Balancers and firewalls
  • Using tools and automation to proactively monitor and assure latency compliance and quickly respond to any issues
  • Successfully receive technical escalations and independently provide solutions to resolve high impacting network incidents. Expertly conduct root-cause analysis for major problems and drive the troubleshooting to resolution
  • Communicate with business units during projects and incidents
  • Point of escalations for offshore Level1 and Level2 for incident management
  • Participate in vendor management and governance process
  • Participate in on-call duties in rotation. Week-end work expected
  • The successful candidate will have 5+ year experience in a similar position in an equivalent Financial Services firm
  • Hands-on experience with Data Network skills
  • An excellent knowledge of data networking principles as well as an excellent knowledge of the specific technologies to manage and support high-speed networks
  • Expert-level ability to decode packet captures and identify network and application issues
  • Hardware: Cisco Switches and Routers, Juniper Switches and Routers, Arista Switches, Nortel/BNT Switches, Adva DWDM, F5 BigIP Load Balancers
  • Protocols: OSPF, BGP, RIP, TCP/IP
  • Certifications: CCIE R&S is a must. CCNP Voice and JNCIP Desirable
  • Financial Market Data, Client and Exchange connectivity is a strong plus
  • High level of initiative, proactive approach
  • Flexible and adaptable to meet the teams needs
  • Ability to use Microsoft applications, Word, Excel and Outlook
  • Proficient in UNIX or Linux
29

Data Operations Analyst Resume Examples & Samples

  • Act as an internal consultant supporting all of our business units globally
  • Understand, wrangle, and transform large data sets from a variety of sources (SQL, Teradata, Oracle, Hadoop, Alteryx, QlikView, etc.)
  • Manipulate data to form unified data sets for analysis
  • Enable data tactical and strategic data standardization transformations for data visualization
  • Model and communicate findings to make data analysis actionable and understandable by business partners
  • Take complex data problems and break them down to create and implement action plans
  • Apply understanding of analysis and computational complexity and programmatically solve problems
  • Cleanse, curate and standardize data with quality to support sustainable and scalable data interaction, analysis and insight development
  • Masters degree in Mathematics, Statistics, Engineering or academic equivalent
  • 5 + years of experience working with big data projects
  • 5+ years of data visualization experience
  • 5+ years of experience working with analytics tools
  • Self-starter, high level of initiative, detail-oriented and ability to multi-task
  • Strong collaboration and oral/written communications skills
  • Strong problem formulation and problem solving skills
  • Strong interpersonal skills and leadership behaviors
  • Successful candidate must be able to demonstrate leadership in ONE FORD (leadership) behaviors combined with outstanding interpersonal, teambuilding, and communication skills
30

Data Operations Analyst Resume Examples & Samples

  • Bachelor’s degree in Business, Information Technology, Analytics
  • 1+ years of experience with data analysis tools (for example: SQL, Hadoop, Teradata, SAS, Excel, MS Access
  • 1+ years of experience communicating findings to make data analysis actionable and understandable by business partners, including IT and analytics
  • Experience communicating findings to make data analysis actionable and understandable by business partners, including IT and analytics
  • Experience with business development and relationship building to establish partnerships with third parties and internal stakeholders
31

L Data Operations Engineer Resume Examples & Samples

  • Properly create comprehensive network change execution documentation, including configuration files, diagrams, and change request forms
  • Execute implementation tasks successfully within a very wide scope of networking technologies
  • A deep understanding of all the facets of LAN and WAN Network Technologies for various platforms (Cisco, Juniper, Blade Networks, WAAS etc
  • Ability to work with Project Managers to develop the execution and test plans for the network changes on a weekly basis
  • Actively participate in the weekly Change Advisory Board meetings to explain their changes and answer any questions from the change board. Ideal candidate should act as an escalation point for all the Level 2 Deployment Engineers and also to roll out the production changes over the weekends as per guidelines from a Project manager
  • Good analytical and problem solving skills. Must be able to troubleshoot and provide a day to day Level 3 operational support as a part of Global Network Operations Center (NOC). It will be a big plus if a person has proficiency and expertise in Unix, Automation and various NMS tools
  • Previous experience with a Financial or large scale organization will be a plus but not mandatory
  • Ability to prioritise along with good time management skills
32

Data Operations Analyst Resume Examples & Samples

  • Bachelor’s Degree in Computer Science
  • 3+ years of experience with data analysis tools (for example: SQL, Hadoop, Teradata, SAS, Excel, MS Access
  • Able to work as part of a cross functional team and work with many different levels of management
  • Excellent Microsoft office suite experience
33

Senior Data Operations Analyst Resume Examples & Samples

  • Proactively identify data quality gaps & remedy as needed
  • Perform data validation for new or changing source data & identify opportunities for automated
  • Validation processes
  • Provide ad hoc reporting support
  • Assist in testing and validating data in software systems
  • Perform data analysis of key problem areas to assist in root cause analysis
  • Audit data on a regular basis to ensure data integrity and quality
  • Perform data reconciliations to identify data anomalies
  • Identify data issues needing process re-engineering
  • Assist in maintenance, back up and security of business data
  • Provide operational support for data incidents and outages of varying degrees of severity
  • Effectively utilizes a centralized knowledge base of support documentation
  • Ability to work with business processes that will ensure data quality; documents data quality issues as needed
  • Ensure proper handling and control of PII data including the use of data encryption or masking
  • Provide on call support for data operations in support of data technology, data processes and/or client data
  • Troubleshoot and provide resolution to complex data issues through the use of technical & analytical skills and tools
  • 4+ years of data analysis experience
  • Strong analytical and detail-oriented aptitude
  • High degree of accuracy and attention to details
  • Data Analysis skills and understanding of data management standards and practices
  • Demonstrates high responsiveness to issues and escalates unresolved issues quickly and efficiently
34

Business Integrity Associate, Data Operations Resume Examples & Samples

  • :5+ years experience doing quantitative analysis
  • BA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field. Advanced degrees preferred
  • 4+ years of Excel and SQL required
  • Development experience in at least one scripting language (PHP, Python, Perl)
  • Experience with reporting systems and efficient data pipeline architecture
  • 4+ years of initiating and driving projects to completion with minimal guidance
  • Experience with statistical analysis, and a statistical package such as R, MATLAB, SPSS, SAS, or Stata preferred but not a must
  • Strong communication skills, creative problem-solving and curiosity is a must
  • Ability to break large, complex problems down into smaller pieces and distill that complexity into simple and concise communication
35

Manager, Data Operations Resume Examples & Samples

  • Experience with Alteryx Designer
  • High intellectual horsepower
  • Experience with Alteryx Server
  • Comfortable with MS InfoPath and SharePoint concepts
  • Understanding of predictive analytics concepts
36

Data Operations Analyst Resume Examples & Samples

  • Drive the Data Strategy and align it with a continuously changing business landscape
  • Work collaboratively with data scientists to capture data requirements and increase Data Coverage
  • Evaluate, explore and select the right data platform technologies including Big Data, RDBMS & NoSQL to meet the analytics requirements
  • Ability to ingest large data sets from a variety of sources (SQL, Teradata, Oracle, Hadoop, Alteryx, QlikView etc)
  • Expertise to manipulate data to form unified data sets for analysis
  • Conduct data profiling and evaluate data quality
  • Perform any necessary data mapping, data lineage activities and document information flows
  • Create data models (Conceptual, Logical and Physical)
  • Build Metadata models & Business Glossary by gathering information from multiple sources
  • Serve as data subject matter expert and demonstrate an understanding of key data management principles and data use
  • Implement an Enterprise Data Governance model and actively promote the concept of data sharing, data reuse, data quality and data standards
  • Drive Master Data Management(MDM) strategy including implementing the governance model for Master Data
  • Bachelor’s Degree (Computer Science, Mathematics, Statistics, Engineer, MIS, Physics,)
  • 3+ years of experience in a Data Management role including running queries and compiling data for analytics
  • 3+ years of experience in data design, data architecture and data modeling (both transactional and analytic)
  • 2+ years of experience in Big Data / NoSQL technologies including Greenplum & Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), especially command line experience with loading and manipulating files within HDFS
  • Ability to work in different database technologies including Big Data / Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.) , RDBMS and NoSQL
  • Experience in creation of scripts to manipulate files within HDFS is preferred
  • Knowledge of data transfer and ingestion technologies including Talend and HVR
  • Demonstrated experience building visualizations using Tableau/Qlikview
  • Ability to write complex SQL queries needed to query & analyze data
  • Knowledge of data management standards, data governance practices and data quality
  • Ability to communicate complex solution concepts in simple terms
  • Ability to quickly comprehend the functions and capabilities of new technologies
37

Client Data Operations Associate Resume Examples & Samples

  • Post Account Opening completion- account setups for portfolio account, wire entry and authorization, position reporting, etc
  • Creating Contact within Morgan Stanley applications
  • Following up with internal Clients to collect all necessary details at the start of the request
  • Coordinate with other downstream teams to complete multi-step, complex requests
  • Articulate progress updates and manage expectation with Business Uit Stakeholders
38

Data Operations Resume Examples & Samples

  • Participate in BlackRock Solution’s client implementation data onboarding and ensure security level data is accurate, different vendor feeds are setup and all quality control reports are up and running prior to the go-live
  • Participate in the investment management data processes and special Financial Market Advisory (FMA) assignments and projects from the data side
  • Daily support of trading process with regard to data requirements for BlackRock and BlackRock Solution’s Clients
  • Liaison with market data vendors and market dealers to obtain the most accurate data
  • Interact with internal and external clients to serve as a financial security knowledge desk, managing expectations of service delivery, and provide superior customer service
  • Constantly evaluate process and procedures for inefficiencies and make recommendations for improvement
  • Maintain procedural documentation and update as necessary
  • Partner up with Data Services Product owners to perform testing of in-house software and external vendor products related to BlackRock Solution’s clients’ asks
  • Establish strong relationships with Blackrock Solutions Relationship Managers, Institutional Client Business sales team members, and other client facing team representatives. Facing off to clients is also essential in relation to training, relationship management, and serving as a representative of data expertise within Blackrock
  • Candidate must possess and demonstrate a working knowledge of fixed income, equity and derivative instruments as well as finance with the skills and ability to work in an entrepreneurial and team oriented environment
  • Candidate must have enthusiasm for, and comfort with, working at a fast and furious pace while maintaining quality and the integrity of investment data
  • Candidate must have at least 2 years in financial services interacting with Investment professionals
  • Candidate must have flexibility regarding their work hours
  • Excellent communication skills is required to enable clear articulation while working with external clients
  • This role requires travels, so the candidate must be flexible to be at client sites for several days
  • A college degree in Finance, Computer Science, or Engineering is required
  • Working knowledge of technical tools such as SQL, Unix commands, PERL, etc. is a plus
  • Candidate must demonstrate existing track record is leading special assignments and projects
  • Written and spoken Japanese language is a plus
39

Data Operations Analyst Resume Examples & Samples

  • Responsible for providing the data support for enterprise data integration tasks, including ingestion, standardization, enrichment, mastering and assembly of data products for downstream applications. In addition, you will
  • Drive the Data Strategy and align it with continuously changing business landscape
  • Work on all the data types across the enterprise including Customer, Dealer, Vehicle, Manufacturing, etc
  • Continuously increase Data Coverage by working closely with the Data Scientists, understanding and evaluating their data requirements and delivering the data they need
  • Support the data requirements of the different functional teams like MS&S, PD, Quality, etc. and all the regional KPI / Metrics initiatives
  • Provide visibility to Data Quality issues and work with the business owners to fix the issues
  • Build the Metadata model & Business Glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems
  • Drive Data profiling and data exploration for basic understanding and profiling of the data
  • Bachelor’s Degree in Computer Science or engineering
  • 2+ years’ of experience in Big Data / NoSQL technologies
  • 5+ years’ of experience in a Data Management role including running queries and compiling data for analytics
  • 3+ years’ of experience in data design, data architecture and data modeling (both transactional and analytic)
  • Experience with Greenplum & Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), especially command line experience with loading and manipulating files within HDFS
  • 2+ years’ experience working with Ford Motor Company
40

Data Operations Analyst Resume Examples & Samples

  • Analytical skills– understanding of data, file layouts, file formats, strong process thinking skills
  • Understand database processing techniques and concepts including flow charting, file documentation, data analysis, and relational database principles
  • Strong knowledge of MS Office: (Access, FoxPro, Excel, Word) to create/update documents and spreadsheets containing basic formulas and formatting
  • Verbal and written communication skills sufficient to correspond with appropriate groups regarding job requests and clarify custom reporting requirements
  • May have development and support skills in at least one system environment, i.e., mainframe, client server, midrange, PC/LAN or stand alone PC
  • Experience in manipulating, sorting, and compiling data
  • Experience with ETL Tools , Use of Data Warehousing Tools, or 3rd Generation Languages a plus
  • AA/AS degree or equivalent work experience
  • Typically 5+ years of directly related experience
41

Asst.dir-senior Data Operations Resume Examples & Samples

  • Provide guidance in building new operational processes. Evaluate and recommend enterprise software or tools to build internally
  • Lead and contribute towards resolving escalated production issues, maintenance projects, and enhancement initiatives, with some supervision
  • Identify, resolve and/or escalate production issues reported by clients and/or monitoring alerts
  • Partner with teams such as Product Management, Development, Client Support, and IT to meet business demands
  • Contribute to Business Continuity Planning
  • Support requests to maintain website content
  • Create and maintain documentation for team knowledge base
  • Work schedule requires availability on some evenings, weekends and holidays
  • 4+ years of experience in an operational or support role
  • Solid experience writing SQL (e.g., Sybase, Microsoft SQL server, Oracle, PostgreSQL)
  • Proven success in completing projects from definition to launch
  • Proven ability to handle multiple cross-functional projects with little supervision
  • Ability to document process flows using visual aids (e.g., MS Visio)
  • Act as a guide, mentor or possibly supervise one or more Operations Associates
  • Solid understanding of Agile and waterfall methodologies
  • Excellent troubleshooting abilities including root cause analysis
42

Data Operations Analyst Resume Examples & Samples

  • Daily monitoring of production feed processing and data transformation
  • Develop tools, processes, training and documentation to promote self-service within the Operation Center and Cars.com support teams, increasing operational efficiency
  • Technical research in response to inquiries concerning data errors, processing problems and other feed or data related issues
  • Identify and resolve production data integrity and feed related issues
  • Summarize programs bugs in current data processes as well as enhancement ideas and communicate that to development/architecture teams
  • Work with third party feed providers to translate data between their specs and ours, help vendors understand comdata spec options and offer alternatives and assistance in resolving issues
  • Data Analysis of new data feeds elements as well as any change in third party data feeds
  • Work with Architecture and product teams to create documentation of operational procedures of data feeds and processes
  • Run feed processes in QA environments to support development team testing and release processes
  • Reporting to work onsite and on time, on a daily basis is an essential function of the job
  • Availability for 24-hour shift rotation on comemergency response team supporting crucial Cars.com data infrastructure
  • Other duties assigned by manager
  • Solid understand of database structures & fundamentals
  • Familiarity with data models and ability to understand complex data relationships
  • Experience working in a Unix/Linux environment
  • Very fluent generating SQL queries for data analysis and working with DBAs on performance tuning
  • Self-motivated with excellent analytical ability and problem solving skills
  • Strong troubleshooting skills with ability to quickly assess problems and determine proper resolution
  • Able to work on multiple tasks efficiently
  • Comfortable working in a high-energy, team-orientated, rapidly changing environment
  • Familiarity with Oracle PL/SQL and comfortable reading, executing, and developing PL/SQL programs
  • Familiarity with Unix/Linux and comfortable reading, executing, and developing shell scripts
  • Prior programming and scripting experience
  • Understanding of web-based development concepts and web-based applications
  • Scheduling tools such as TWS or UC4-Automic
  • Familiarity with Python
  • Administration or development in ETL Tools - IBM Datastage, Informatica
  • 1-4 years’ experience of relevant data analysis / production support of data processes
  • 1+ years experience with SQL in an RDBMS environment
  • Bachelor’s Degree in Computer Science or Computer Information Systems (related/commensurate experience acceptable)
  • Experience working under a lean process development framework such as Agile, Kanban, etc
43

Big Data Operations Engineer Resume Examples & Samples

  • Own and manage critical enterprise Hadoop infrastructure
  • Optimize, tune, and scale the Hadoop ecosystem to meet SLA requirements
  • Perform troubleshooting and in-depth analysis of issues and provide clear, permanent solutions
  • Investigate emerging technologies in Big Data for consideration and implementation
  • Participate and provide recommendations in capacity planning, high availability and disaster recovery discussions
  • Contribute to the evolving architecture to meet changing requirements of scaling, reliability, performance, and manageability
  • Collaborate with the engineering and data teams to understand application requirements and recommend best practices
  • Establish and implement database security and access control policies
  • Be part of on-call rotation
  • At least 2 years experience operating Hadoop services, preferably in a large-scale production environment
  • Deep understanding of the Hadoop ecosystem (YARN, Oozie, MapReduce, Zookeeper, HBASE, HDFS, Hive, Sqoop, etc.)
  • Strong background in Linux Administration (preferred CentOS/Redhat)
  • Experience with automation/configuration management using either Puppet, Chef, Ansible, Salt or an equivalent
  • Good scripting/coding experience with any of the following: Python, Ruby, Java or Scala
  • Experience building infrastructure and operating services on a public cloud platform, preferably AWS
  • BS degree in computer science or equivalent related work experience
44

Data Operations Analyst Resume Examples & Samples

  • Work on all the Data Domains across the enterprise including: Engineering, Manufacturing, Purchasing, Finance, etc
  • Support the development of an enterprise wide Business Information/Data Warehouse (BI/DW) system by interfacing with IT partners
  • Perform Data Profiling and exploration thereby increasing subject matter expertise
  • Define Data Transformations while retaining the associated lineage and information flows
  • Implement Data Shepherding practices including: creation of Data Standards, Business Glossary, Master Data Management (MDM) and the enforcement Security policies to support data sharing
  • Provide visibility of any Data Quality issues and work with the business owners to resolve
  • Guide Data Scientist in their selection of preferred data sources and the collection of a new data requirements by understanding their problem statements and informational needs
  • Bachelor’s Degree in Computer Science or related technical field
  • 1+ years of experience with one of more of the following
  • Experience in database technologies including Big Data / Hadoop (HDFS, MapReduce, Hive, Shark, Spark, etc.), RDBMS and NoSQL
  • Knowledge of data transfer and ingestion technologies (ETL) including Attunity
  • Experience building visualizations using Tableau/Qlikview
  • Demonstrated customer focus, with the ability to evaluate decisions through the eyes of the customer, build strong customer relationships, and create processes with customer viewpoint
  • Flexibility and durability in an changing environment: always looking for ways to improve the process and ability to confront difficult circumstances in creative ways
  • Strong verbal and written communication skills including an ability to communicate complex solutions in simple terms
45

Data Operations & Stewardship Associate Resume Examples & Samples

  • Develop LPS Patient Support Platform systems knowledge including source data and business processes within each, how they interact, and the critical issues regarding data quality and accuracy
  • Identify operating team reporting requirements and develop reporting tools to standardize data delivery
  • Lead the analysis of LPS patient programs and recommend improvements to customer support
  • Manage the integration of third party data sources and lead data integrity efforts
  • Manage system and data development projects to support LPS operations
  • Work with LPS Business Integrators to identify and document new data requirements
  • Conduct UAT to support LPS systems development
  • Work with LPS Quality to create Systems and Reporting SOPs
  • Execute Systems and Reporting SOP requirements
  • Identify process gaps and recommend solutions
  • Identify future reporting and data capabilities
  • Lead the development and rollout of future reporting systems and analytic tools
  • Anticipate and resolve key technical problems across LPS systems
  • Build credible relationships and trust with both internal and external business partners
  • Lead efforts to increase analytic system acumen across brands, LPS and other user groups
  • Communicate in a concise and impactful way, conveying complex data and system issues in ‘business friendly’ language
  • 2- 5 years of analytic operations and reporting experience
  • Experience using Tableau strongly preferred
  • Master’s in Business
  • Business knowledge of pharmaceutical data, market expectations and customer programs
  • Experience with data sources, specifically PCI data
  • Demonstrated business and technical acumen, critical thinking and operating with ambiguity
  • High learning agility and excellent time management
  • Demonstrated delivery of results through outstanding execution
  • Agility with both attention to detail and understanding and driving toward the big picture
  • Demonstrated application of master data principles and practices
  • Understanding of data and database fundamentals, including data modeling, data integration and data mapping
  • Knowledge of multidimensional database architecture
46

Data Operations Analyst Resume Examples & Samples

  • Work on various data types across the enterprise including Customer, Manufacturing, Dealer, Vehicle, product development, finance, etc
  • Data profiling and data exploration of data for better understanding and analytic support
  • Work closely with the Data Scientists and data analysts to better understand and evaluate data requirements and the type of data needed
  • Support the data requirements of the different functional teams such as Marketing Sales and Service, Product Development, General Counsel, Finance, Quality, etc. and regional initiatives
  • Evaluate, explore and work with different data platform technologies including Big Data, RDBMS (Relational Database Management Systems) and NoSQL to meet the analytics requirements
  • Build the Metadata model & Business Glossary by gathering information from multiple sources: business users, existing data sources, databases, and other relevant documents and systems
  • Support the data strategy and ensure alignment with a continuously changing business landscape
  • Bachelor's Degree in Analytics, Statistics, Computer Science or a related technical field
  • 2+ years of experience in a data management role including running queries and compiling data for analytics
  • 2+ years of experience in data design, data architecture and data modeling (both transactional and analytic)
  • 2+ years of experience with Big Data / NoSQL technologies, Hadoop (HDFS, MapReduce, Hive, Shark, Spark, QlikView, etc.)
  • Knowledge of command line experience with loading and manipulating files within HDFS
  • Experience in creation of scripts to manipulate files within HDFS
  • Knowledge of data transfer and ingestion technologies including Attunity
47

Assoc Dir, Data Operations Resume Examples & Samples

  • A highly specialized individual contributor or functional manager with advanced knowledge and expertise in a professional discipline
  • Leads execution of key business objectives or projects within the department
  • Involved in developing, modifying, and executing company policies that affect immediate operations and may also have company-wide effect
  • Expertise in addressing technical challenges that connect EDC, SAS, CDISC and XML
  • Excellent technical skills in SAS system and application development
  • Proven experience in development and implementation of clinical standards in a global pharmaceutical environment
  • Expert in integrating SAS with other leading technologies such as PDF, XML, Microsoft Office, to support electronic submissions
  • Experience in consulting on projects dealing with the assessment, design and/or implementation of CDISC data standards in the clinical data life cycle
  • Experience in Annotating CRFs in accordance with CDISC published or company specific guidelines with appropriate metadata to reflect case report tabulation data sets
  • Experience in Reviewing and quality assurance of CRF annotations produced by other programmers
  • Embracing and contributing to our culture of process improvements with a focus on streamlining our processes adding value to our business needs
  • Experience in Reviewing and quality assurance of datasets, programs and programming specifications produced by other programmers
  • Accountability for development and maintenance of cross-functional / cross-department process related to clinical trials SDTM data production, including specification, programming, QC, and deliverables of SDTM data for analysis and submission
  • Accountability for execution of process related to clinical trials SDTM data production, including specification, programming, QC, and deliverables of SDTM data for analysis and submission
  • Engaging appropriate stakeholders in communication to create SDTM standards and process for transition of clinical data to SDTM
  • Accountability for SDTM datasets specification, conversion, and delivery to stakeholders, specifically Statistical Programming, but also other users of SDTM datasets, with high quality and on time
  • Providing SDTM data production technology to CDO (Clinical Data Operations) related to SDTM data delivery and manages the activities of a team with a common focus
48

Regional Data Operations Analyst Resume Examples & Samples

  • Directs and coordinates the input of data and related data quality efforts for use in the CRM system
  • Works with Global DQ Team to drive solutions with CRM and other related systems
  • Works with internal customers to address data needs
  • Ability To Troubleshoot and Identify Data Issues
  • Define data quality procedures to ensure data consistency
  • Troubleshoots any errors that may occur as a result of data input
  • Participates and/or directs the creation and approval of policies related to the maintenance of data in the system
  • Creates processes to verify data quality from end users, approves changes, performs internal and external compliance checks, and audits the data input into the system
  • Assists in developing processes and procedures with other business functions to ensure an understanding of data input
  • Responsible for developing and maintaining metrics related to integrity and response to data requests
  • Perform checks and audits of data to ensure data is accurate and complete
  • Perform training as required to educate the business community
  • Analyze, document and present recommendations for enhancing current business processes through enhanced use of CRM business systems and information technology
  • Leverages data quality tools to maintain required updates
  • Provide issue and problem resolution tracking
  • Prepare status reports for open projects and issues and review with management on a routine basis
  • Knowledge of Data Quality Management and techniques
  • 2+ years of data quality experience
  • Ability to work in fast-paced environment and managing competing deadlines
  • SAP CRM systems experience preferred
49

Head of Data Operations Resume Examples & Samples

  • Help to drive FIL’s data strategy to maximise value from FIL Data as an asset to the Company, and identify and mitigate how to reduce the risk of data being a liability
  • Provide a vision and strategy for all data management activities and act as champion for global data management
  • Own the Global Data Services relationship with FMR
  • Work closely with the Data Governance and Oversight team to ensure data policies and standards are embedded and enforced
  • Oversees and reports on data metrics
  • Manage the Data vendors, sources, SLAs and associated licenses; actively target adoption of data sets procured or retirements of those no longer in use
  • Manage the data quality and consistency in each of the data sets – data scrubbed and cross referenced – in order to manage corporate risk
  • Correct data within the Golden sources where providers are unable to remediate quickly
  • Manage data consistency across datasets
  • Delivery mechanisms managed to ensure data has been delivered and consumed by the consuming applications
  • Create a vision for chargeback on commercially procured data for usage within the organisation
  • A single point of contact for Data support and analysis on issues and new requirements within the consuming applications, ensuring that corrections are made to the source and the technology as required
  • Will ensure Data Governancethrough good Data Managementprocesses
  • Build business performance dashboards a business management system that provides timely information and insights that enable business to improve decisions optimise processes and plans and work proactively
  • Financial services domain knowledge including expertise at the intersection of risk, finance and customer domain
  • Strong leadership and communication skills
  • Experience in managing large scale operational functions
  • Familiarity with the major big data solutions and products available in the market
  • Expertise in creating and deploying best practices and methodologies
  • Familiarity with software development life cycles
  • Familiarity with different modelling techniques such as data modelling and/or predictive modelling
  • Communication Skills– Exhibits well-developed listening, speaking, and writing skills to share information, perspectives, and opinions with others. Works collaboratively and leverages individual talents in support of practice and FIL wide goals
  • Organizational Perspective- The ability to use internal networks and other resources to deepen his/her understanding of the organization’s business objectives and offers, and to build insights about how to leverage opportunities across the organization
50

IT Data Engineer, Data Operations Resume Examples & Samples

  • Ability to work with multiple operating systems (e.g., MS Office, Unix, Linux, etc.)
  • Some experience with Microsoft BI Tools (MDX, Integration Services, Analysis Services, Reporting Services, SharePoint)
  • Understanding of how distributed systems work
  • Familiarity with software architecture (data structures, data schemas, etc.)
  • Strong working knowledge of databases (Oracle, MSSQL, etc.) including SQL and NoSQL
  • Strong analytical, problem solving, and organizational skills
  • Excellent oral, written, and technical communication skills and a solid command of the English language
  • Experience in group presentation and public speaking
  • Enthusiastic and positive attitude that anything is possible
  • Self-motivated and team oriented
  • 2+ years' experience in any of the following
51

Manager, Global Data Operations Resume Examples & Samples

  • Manage a Department of Data Management staff performing a specific task or assigned to a specific account. Size of team could vary from 5-15, and may be a first-line management position
  • Define and prioritize resource requirements and manage resource assignments across projects for direct reports
  • Monitor and manage utilization and productivity of direct reports
  • Assess and document competency of staff to satisfy position responsibilities. Regularly set goals and evaluates and documents performance for direct reports
  • Actively contribute to the recruitment of new staff
  • Implementation of department objectives consistent with broader office company objectives
  • Ensures rapid identification of issues, manages problem resolution and communicates resolution outcomes to both internal and external customers in a timely manner
  • Ensure that staff is trained and compliant with current operating procedures and work instructions and project scope of work
  • Implement quality management plans across multiple projects/programs. Track service performance and provide leadership to identify root causes of issues
  • Implement training/professional development for direct reports
  • May serve as the department representative for quality assurance to track, investigate quality issues raised, determine corrective and preventative action plans and implement plans
  • Manage relationship with customer at both the project team level and with functional peers
  • Mentor direct reports and/or junior Data Analyst staff in DM expertise
  • May serve as a Customer Escalation contact for one or more customers
  • Manage staff in accordance with organization's policies and applicable regulations. Responsibilities include planning, assigning and directing work; appraising performance and guiding professional development; rewarding and disciplining employees; addressing employee relations issues and resolving problems. Recommend actions on human resources matters
  • Perform other duties as directed by the functional manager
  • Bachelor’s degree, or educational equivalence, in clinical, biological or mathematical sciences or related field including programming experience or combination of computing qualification and professional experience; or equivalent combination of education, training and experience
  • Expertise in relevant technologies (Windows environment, Microsoft Access, SQL, Excel, and Word) with 8+ years of relevant work experience including substantial people management experience
52

Reference Data Operations Resume Examples & Samples

  • Setting up and maintenance of data
  • Investigate and resolve data exceptions
  • Solve data quality issues
  • Enhance the quality of data in the systems
53

Assistant VP Data Operations Manager Resume Examples & Samples

  • Participate in daily touchpoints to communicate the current status regarding data availability and issues associated with data impacting the close
  • Execute key business processes and collect data necessary to confirm technical processes have occurred as expected and identify impactful issues as necessary
  • 3 to 5 years’ experience in data management, financial close operations, or audit with direct involvement in or related to financial close processes
  • Experience with data integration
  • Attention to detail and the ability to work with a distributed multinational and multicultural team
54

Data Operations Manager Resume Examples & Samples

  • Establish daily touchpoints to communicate the current status regarding data availability and issues associated with data impacting the close
  • Oversee the team and develop the processes that confirm technical processes have occurred as expected and communicate impactful issues as necessary
  • Coordinate with key members of several Data Communities to correct data during the close window to assure the overall quality of downstream reporting
  • Own the interactions between technical and business operations teams to create a clearing house of key data availability statuses and metrics for use in data assessments and certifications
  • Coach and plan the development of the Data Operations team
  • Assure the documentation of key processes and procedures exists and capture auditable data artifacts throughout the close to support internal and external audits regarding Data availability and overall quality
  • 7+ years’ experience in data management, financial close operations, or audit with direct involvement in or related to financial close processes
  • In-depth knowledge of data management and governance processes
  • Prior direct managerial responsibility for a group of individuals with multi-disciplinary backgrounds
  • Have exceptional organizational skills, with the ability to handle complex projects in a multi-tasking environment and meet deadlines while delivering high quality results
  • Proficiency in Microsoft Office (Word, Excel, PowerPoint, Project)
55

Data Operations Analyst Resume Examples & Samples

  • Support MediaCom Global Data Solutions internal team and applications, and provide outstanding customer service to our stakeholders
  • Display subject matter expertise on all things data and applications related, to proudly represent the GDS team
  • Maintain live applications and answer technical support questions as they come through from stakeholders (will require active troubleshooting)
  • Thoroughly test new data sources and applications in order to provide performance feedback to technical team
  • Keep abreast of opportunities to pitch data solutions / products both internally and externally (e.g. operational inefficiencies, or opportunities to upsell)
  • Build knowledge with the goal of becoming a subject matter expert in data solutions products
  • Work with BA & Technical Account Manager post-launch to develop User Guides and Training processes
  • Knowledge-share regularly to promote well-rounded skillsets throughout the group
  • Build positive relationships with internal and external teams
  • Establish and maintain effective relationships interdepartmentally as well as those outside the team
  • Excellent written, verbal, and communication skills
  • Demonstrated critical thinking and problem-solving abilities
  • Able to work collaboratively with others
  • Ability to work a flexible schedule due to teams being in various time zones
  • 1 year of experience in technology or other related field
  • HTML or some technical coursework or experience is preferred
56

Operations Reference Data Operations Product Data Quality Associate Salt Lake City Resume Examples & Samples

  • Three or more years of experience in Operations, Financial Services industry and/or Management Consulting
  • Ability to manage multiple concurrent tasks with dynamic and aggressive deadlines
  • Experience communicating complex data models to varied audiences in verbal and written mediums."
57

Manager, Business & Data Operations Resume Examples & Samples

  • Align renewals data strategy and priorities among global and regional renewals operations and regional and global sales leadership to support data exchange and analysis
  • Support an integrated planning process with our operations and sales leaders to guide multiyear, strategic planning and annual operating planning
  • Partner with Sales, Global Operations, and IT leaders
  • Provide data, reporting, and analytical support and consultation for key sales and partner leadership teams
  • Influence the scale and availability of renewals based insights through managing the development of web based analytical applications
  • Identify net new opportunities and areas of sub optimization (both in the renewals/sales life cycle and in operations); work cross functionally to design and implement solutions
  • Work closely with shared services analysis team in India to drive net new analysis requirements and facilitate development of reporting and insights
  • Design and manage creation of advanced sales reports, analyses, forecasts, and dashboards
  • Partner with teams of planning and analytics experts to ensure all the above responsibilities are achieved
  • Bachelor's degree in business administration or a quantitative field; MBA preferred
  • 1-3 years of management experience
  • 5-7 years of related professional experience
  • Advanced analytical skills, preferably with background in or exposure to data science
  • Solid spreadsheet skills with experience managing large data sets and performing analysis
  • Coachable, energetic, detail-oriented team player who is focused and diligent on delivering results
  • Excellent written and verbal English communication skills; interpersonal and time management skills
  • Experience with using at least one data mining tool like Business Objects or SAS
  • Willingness to consistently work extended hours during periods of high demand, e.g. quarter/year end (may include weekends)
  • Demonstrated enterprise leadership capabilities
  • Experience with spreadsheet analysis
  • Experience building management reports for marketing, sales, finance, operations or IT groups
58

Senior Data Operations Manager Resume Examples & Samples

  • Multiple years of experience managing data operations
  • Proven ability to define, implement and measure data operations processes
  • Strong skills to analyze data using modern tools
  • Ability to effectively function in a fast-paced environment
  • Driven by results and impact of the work
59

Head of Reference Data Operations Resume Examples & Samples

  • Client Operations
  • Core Operations
  • Reporting & Data Services
  • Reconciliations and Ledger Integrity
  • COO
  • Nearshore centres in Newcastle-under-Lyme and Manchester in the UK and Warsaw in Poland
  • Offshore centres of expertise in India in Chennai and Gurgaon
  • Lead and Ensure seamless execution of all transactions/Reporting are appropriately recorded and reported as per the defined policies / procedures and guidelines to the approved SLA
  • This role has sole responsibility for setting all objectives for the teams
  • Responsible for training, monitoring progress and review of performance of team members and also ensure that team members attend all the trainings that they have been nominated
  • Support the Implementation of the Strategic agenda for reference data within areas of responsibility
  • Managing Reference Data team which owns the Golden Source for legal entity (GRDM), Client Data management (Nucleus), Organisational Reference Data Management and Market Reference Data Management
  • Responsible for the timely and accurate delivery of end to end process in compliance with Group policies and guidelines
  • Establish a strong culture of risk awareness and control, ensuring issues are identified and resolved in a constructive, open manner
  • Act as a subject matter expert for respective core deliverables
  • Improve Operational efficiency on KSOR & ensure high quality reports / transactions delivered
  • Co-ordinate and act as an Interface of TMo Data Hub with other departments & stakeholders within CIB
  • Support the TMO India Conitinious improvement initatives and lead the Lean projects for Process Optimization
  • Co-ordinate the activities of the department & ensure the agreed SLA meet
  • Identify opportunities for business process improvement with the support of Technical expertise
  • Management and Review of Key Performance Indicators, Risk & Control & Business Contiunutiy Management
  • Act as key a point of escalation for queries raised by customers and the workflow of the team
  • Providing timely feedback to team members for corrective action & periodic checks on Skill capabilities and competency
  • Review and Recognize the Carreer growth for the team, performance and rewards
  • Drive cost efficiencies to ensure budget savings are evident
  • Atleast 10 years experience in financial services with 4 years of experience leading and motivating a team
  • Excellent analytial skills coupled with a structured methodical approach to analyse & investigate data issues
  • Require a qualified accountant or post graduate degree with good Banking knowldelge.May require a Mangement degree qualification (Post Graduate)
60

Data Operations Analyst Resume Examples & Samples

  • Execute build, test and data migration activities on LINUX (SUSE/RHEL) environments
  • Extract, transform and load (ETL)
  • Create UNIX/Perl scripts to perform automated data transmission and data validation events
61

Data Operations Analyst Resume Examples & Samples

  • Skilled in transforming raw data into a finished product
  • Ability to audit data inputs to ensure they are error-free and properly formatted
  • Intermediate proficiency in Microsoft Office suite, particularly Access and Excel
  • Strong attention to detail, with focus on data quality
  • Knowledge of data structures and the ability to efficiently manipulate and query data
  • Demonstrated initiative with a high level of interpersonal and customer service skills
  • Good command of the English language
  • Able to clearly communicate both verbally and in writing with alumni, friends, and staff by telephone, e-mail, and in person
  • Able to work collaboratively, both independently and with a team
  • Advanced proficiency in Microsoft Office suite, particularly Access and Excel
  • Experience with report writing and data visualization applications
62

Lead Data Operations Associate Resume Examples & Samples

  • Utilizes multiple monitoring platform to maintain the operating environment
  • Actively pursues issues and drives resolution
  • Provides recommendations on continuous improvement efforts
  • Instructs and trains junior staff on monitoring functions
  • Provide direct support to other IT functions
  • Positive Attitude, Ethics and Values which support our company’s values, and a healthy, high performance culture
  • Strong Database Management aptitude
  • Strong Accounting aptitude
  • Excellent communication skills, both verbal and written
  • Ability to effectively cope with change and to handle ambiguity
  • Excellent time management skills – can organize and prioritize multiple projects and meet specific deadlines
  • Work effectively in a team environment
63

Senior Data Operations Analyst Resume Examples & Samples

  • Proven experience working in or with relevant business domain, including deep knowledge of the domain products and processes
  • Demonstrated ability to collaborate with and influence senior Business stakeholders, Technology Partners and vendors/3rd parties
  • Strong problem resolution and design capability and delivery focus
  • Demonstrated experience delivering technology change using appropriate methodologies such as ITIL, COBIT, SDLC, IDLC and Agile
  • Outcome focused with a drive to achieve high quality and sustainable business outcomes
  • Ability to work in virtual, geographically dispersed teams
64

Senior Data Operations Analyst Resume Examples & Samples

  • Analyzes complex SQL queries, tune them for performance and identifies data related issuesnalyzes business requirements, design documents for completeness and testability
  • Performs Root Cause Analysis on data integrity issues that deviate from documented requirement specifications
  • Be well-versed in Oracle database, relational data models and tools like SQL*Plus, SQL*Loader, Toad etc
  • Creates High Level and Detailed specification documents utilized for data transfer across various internal applications
  • Works with cross functional teams to understand requirements and perform all tasks related to Operations
  • Analyzes and recommends business, technology and process improvement opportunities
  • Generates ad-hoc reports and regular datasets or report information for end-users using system tools and database or data warehouse queries
  • Ability to work with and support Senior Management and be accountable for disseminating and summarizing information into a format that can facilitate high level decision making processes
  • Familiar with working on audit compliant data systems and external reporting
  • Requires 7 years minimum prior relevant experience
  • Ability to solve analytical and data integrity problems while prioritizing and managing multiple tasks
  • Experience in building relational data structures, including relationships between tables and grouping data
  • Technical skills to manipulate and analyze data in a variety of formats (e.g. PL/SQL, SQL, Oracle, Toad, SQL*Loader, Macros, Excel)
  • Experienced in working with Macros either in Excel or Macro Express
  • Experienced with Excel, PowerPoint, and Visio
  • The ability to conduct cost/benefit analysis
  • A forward thinker, always thinking of solutions outside the box
  • Provides recommendations to streamline tasks and create a more efficient working environment
  • Up to date with the latest technological advances
  • The ability to organize and prioritize multiple projects and tasks
  • Ability to solve complex analytical and data integrity problems while prioritizing and managing multiple tasks
  • Administers continuous monitoring/auditing procedures
65

Temporary Data Operations Specialist Resume Examples & Samples

  • Collecting data points in the field to help continue building a robust dataset
  • Working with your fellow team members to coordinate which cities need your support
  • Creating an itinerary for your travels, often across multiple cities
  • Prioritizing collection needs and executing them efficiently
  • Training surveyors in each city to maintain the high quality of our data
  • Providing feedback of our tool to facilitate the collection process
  • Recruiting surveyors in target cities to collect parking data
  • Remotely coordinating surveyors to meet specific data collection goals
  • Reviewing surveyors’ data submissions to maintain the high quality of our data
  • Researching and navigating through websites for public parking information. These websites are not always in German or English, and you may need the aid of Google Translate
  • Adding newly discovered and updating pre-existing parking lots and garages in our map using tools that are developed in-house
  • Processing updates sent in from users and parking operators
  • Phone inquiries to parking operators, asking for clarification on parking rates and any other information that is relevant to our users
  • Improving our tools by submitting bug reports and feature requests
66

Master Data Operations Manager Resume Examples & Samples

  • Leadership for development and implementation of MDM global service delivery model and global business continuity plan in collaboration with MDM GCS Operations Leaders in other regional GSCs
  • Collaboration with global & regional master data leaders to ensure alignment with standard processes & best practices
  • Responsible for all aspects of master data service delivery in the region including attainment of SLAs and management of budget
  • Analysis of performance metrics. deriving insights & identifying actions to improve cycle time, data quality and resource utilization
  • Accountable to jointly manage global MDM GSC Service Expansion hopper requests and prioritization as well as ensuring Transition Methodology framework is followed when expanding services in the GSC
  • Accountable to maintain excellence in Lean Management System (LMS 2.0) within service delivery framework to drive daily continuous improvement
  • Ensures all systems and processes are in place to enable effective service delivery
  • Manage communication regarding changes to SLAs
  • Provides direct supervision and development to Master Data Team Managers and extended Leadership team
  • Responsible for alignment of resources to organizational objectives. Monitors progress to objectives
  • Collaboration with Global and Regional Process & Data Deployment teams to ensure smooth operational hand-off to the GSC post deployment
  • Active GSC leader, a member of the Management Operating Committee (MOC), responsible for development/implementation of site-wide policies, procedures, and cross-functional committees and/or initiatives
  • 7-10 years of equivalent work experience
  • Experience leading large (200+) cross cultural, millennial teams within an shared service center organization
  • Ability to work across global service delivery organizations to leverage best practices & collaborate as needed to meet SLA targets
  • Project management, global team leadership, strong communication skills (both verbal and written) and ability to drive change acceptance within the business organization
  • Ability to manage across global boundaries to drive alignment to common processes & performance targets
  • Ability to forward plan, prioritize, lead and drive execution of multiple strategic and tactical deliverables
  • Ability to navigate complex multinational corporate landscape, working across multi-functional, global organization delivering both strategic and organizational objectives
  • Experience with Lean Six Sigma (LSS) and other Continuous Improvement methodologies
  • Lean Six sigma Black Belt
  • Ability to speak Spanish
  • Experience working with master data, in an ERP environment (SAP)
  • Previous experience with SAP
67

Senior Manager Data Operations Resume Examples & Samples

  • A minimum of a Bachelor’s Degree is required
  • A minimum of 7 years of related working experience is required
  • Working knowledge of tools and systems that allow for effective management of large ddata sets is required
  • Experience managing data and service contracts required
  • Proven results as a project manager in major, cross-functional technology projects required
  • Proficient with PowerPoint, Excel and Word is required
  • Experience working in a matrixed environment with competing priorities is preferred
  • Strong written and verbal communication skills are required
  • Strong Business and Data Analysis skills with focus on pharmaceutical commercial operations across one or more relevant therapeutic areas
  • Knowledge of data governance best practices is preferred
  • Strong understanding of data lifecycle, data quality, metadata and data management is required
  • Ability to lead project groups and manage projects independently
  • Ability to recommend demand prioritization based on business value and impact assessment is required
  • Strong communication skills especially while dealing with diverse functional groups
  • Ability to create data management related SoPs and workflows is required
  • Knowledge of data querying/BI tools is preferred
  • This position can be based in Titusville, NJ or Horsham, PA and will require up to 10% travelSales Administration
68

Data Operations Analyst Resume Examples & Samples

  • This individual will provide data analysis and management support to the DHA MEDLOG Division and the DSLs/COTR in the materials standardization process, technology assessment, and program documentation
  • The Data Analyst shall possess working knowledge of spreadsheets and relational databases and data models. The Data Analyst will be responsible for tracking usage and sales from various data sources, calculating estimated and actual savings and providing reports and analysis based on the results
  • The Data Analyst shall also work with the Senior Data Analyst in creating tracking and reporting processes and procedures for standardized materials and other initiatives
  • Under close supervision, provides assistance with management of individual tasks of government contracts. Participate in the analysis, evaluation, planning, design, development, implementation, and support of integrated systems. Is familiar with business operations principles and methods, including requirements, risk, cost-benefit, economic, application, and process analysis
  • Participate in government systems/equipment acquisition and development processes and life cycle support. May have some capability in a specified foreign language and is familiar with program, financial, resource, and contract management
  • Provide entry level technical consulting in the planning, direction, and coordination of work activity and training of technical staff stationed locally and at field locations
  • Helps conduct feasibility studies, concept formulation, development, implementation, operation, and maintenance of various systems, equipment, and procedures
  • Assist in the periodic delivery of program performance metrics to government program management
  • Assist in the acquisition and production of products and the application of these products to the analytical needs of the assigned program
  • Perform the translation, metadata extraction, cataloging, and indexing of data delivered in variety of media
  • Translates advanced concepts into practical and effective solutions using structured techniques
  • At a minimum, a Bachelor’s degree in Business Administration or related field is required. This position requires experience in functional and data collection, data analysis, requirements analysis, and documentation preparation
  • The clearance level required is dependent on the type of clearance supported by our client
69

Data Operations Analyst Resume Examples & Samples

  • Support enterprise data governance model and actively promote the concept of data sharing, data reuse, data quality and data standards
  • The Data Operations analyst discovers and curates new and existing data sources (external data providers, public data, social media, digital exhaust, transactional data etc.) for use in building incremental value and insight for the business
  • Serve as data subject matter expert and demonstrate an understanding of key principles and data usage
  • Preform analysis, cleansing, profiling and data exploration for better understanding and analytic support to support our business partners
  • Continuously increase data coverage by working closely with the Data Scientists and different Analytic Teams, understanding and evaluating their data requirements and delivering the needed data
  • Support the data requirements of different functional areas like Ford Credit, MS&S, PD, etc., and all the regional KPI / Metrics initiatives
  • Complete necessary data mapping, data lineage activities and document information and process flows for different systems such as transactional, operational, distributed and relational data bases
  • Build and support a business glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems
  • Help drive MDM (Master Data Management) strategy including implementing the governance model for Master Data
  • Partnering with the data steward to ensure that all information utilized adheres to compliance, access management, and control policies
  • Solving client analytics problems and communicates results and methodologies
  • Working closely with different teams to solve problems related to client analytics
  • Working cross-functionally to manage data and analytic projects
  • Bachelor’s Degree in Analytics, Statistics, Finance, Accounting, Computer Science or a related technical field
  • 5+ years’ of experience working with financial data or a data management role including running queries and compiling data
  • 3+ years’ of experience in data design, data architecture, data utilities and data modeling (transactional, relational, network and analytic)
  • 2+ years’ of experience with Big Data / NoSQL technologies, Hadoop (HDFS, Hive, Shark, Spark, QlikView, etc.), with knowledge of command line experience with loading and manipulating files within various FTP/FTPS (and other technical systems)
  • Ability to work in different database technologies including Big Data / Hadoop (Business Objects, HDFS, MapReduce, Hive, Shark, Spark, etc.), RDBMS and NoSQL
  • Knowledge of data transfer [files/db2/databases] and ingestion technologies such as Attunity
70

Asst., Data Operations Resume Examples & Samples

  • You will insert customer and account data by inputting text based and numerical information from source documents within time limits
  • You will compile, verify accuracy and sort information according to priorities to prepare source data for computer entry
  • You will review data for deficiencies or errors, correct any incompatibilities if possible and check output
  • Apply data program techniques and procedures
  • Generate reports, store completed work in designated locations and perform backup operations
  • You will be discreet while keeping information confidential
71

Data Operations Analyst Resume Examples & Samples

  • Provides the data support for enterprise data integration tasks, including ingestion, standardization, enrichment, mastering and assembly of data products for downstream
  • Implement Data Shepherding practices including: creation of Data Standards,
  • 1+ years’ experience in Data Profiling tools (e.g. Information Analyzer, Informatica, etc.)
  • 1+ years’ experience in Database design, data architecture and data modeling (e.g.3NF and Dimensional Modeling)
  • Computer Science, Business, or related technical field
  • 1+ years’ experience in Externally Sourced Data, Experience with Ford Purchasing, Interaction with vendors and data profiling
  • PowerPoint experience
  • Experience building visualizations using Tableau/Qikview
  • Strong verbal and written communication skill including an ability to communicate complex solutions in simple terms
72

Market Data Operations Engineer Resume Examples & Samples

  • Provide technical support requiring in-depth knowledge of low latency market data delivery platforms
  • Flexibility to participate in weekend and off-hours on-call rotations, conduct changes after trading hours and the ability to work weekends on occasion
  • Ensure market data systems are functioning with sufficient capacity and resiliency for high availability
  • Ensure all market data operational support policies and directives are carried out
  • Managing vendor and exchange driven changes, technical activities and relationships
  • Serve as an expert on technical and business usage of market data platforms and services
  • Maintain market data infrastructures and expeditiously apply trouble-shooting / problem resolution skills to minimize business productivity loss, customer impact, and financial / reputational risk
  • Work with business lines, application development and technology partners to develop and deliver on market data platform strategies and objectives
  • Technical engagement with financial exchanges and third-party market data suppliers
  • Market data content knowledge for U.S. Equities, Options & Futures, Canadian Equities, and Latin America Equities
  • Low-latent market data delivery technologies
  • Performing overall performance, capacity and latency assessments and tuning
  • Hands on experience with U.S. Exchange rules and regulations leading to feed handler changes, testing and production rollout
  • An understanding of Market data application programming interfaces and exchange/supplier protocols
  • Data Networks (IP stack, 10-Gigabit, Switches, Routers, Sniffers, Multicast)
  • Operating Systems (Kernel fundaments, Threading, Kernel Bypass, System Management, Red Hat Linux)
  • Mid-Range Hardware (Processors, Network Interface Cards – Mellanox/Solarflare, Memory, Storage)
  • Data Security and Entitlement Controls (Firewalls, Identity & Access control systems)
  • Telecommunications (Carriers, Telecommunication circuits)
  • Network Service Provides (Secure Financial Transactions Infrastructure “SFTI”, Radianz, Savvis)
  • Scripting Languages (Perl, Python, Unix Shell Scripting)
  • System Monitoring (SNMP, ITRS Geneos, Probes and Exchange Protocol Decoders)
  • Messaging & Middleware (Vela/SR-Labs/Wombat MAMA & Informatica/29West LBM and/or equivalent technologies)
  • Platform Activity & Capacity Management (System Activity Reporting & Analysis, TeamQuest)
  • Job Scheduling (Cron, Autosys)
  • Strong knowledge in Market Data Capacity, System and Latency metrics gathering, tooling and analysis
  • Strong knowledge in consolidated feed providers such as Thomson Reuters Real-Time Data Feed (Elektron)
  • Hands-on experience with ITRS Geneos Net-Agent monitoring system
  • Strong scripting skills for software/system management and automation
  • Methodical problem solving analysis and resolution skills
  • Ability to perform technical relationship management routines with exchanges and suppliers
  • Good interpersonal, analytical and communication skills
  • The ability to lead a small team
  • An avid and fast learner
73

Operations Manager / Provider Data Operations Resume Examples & Samples

  • Set team direction, resolve problems and provide guidance to members of own team
  • Adapt departmental plans and priorities to address business and operational challenges
  • Product, service or process decisions are most likely to impact multiple groups of employees and / or customers (internal or external)
  • 5+ years operational leadership experience
  • 5+ years of experience in managing cross functional projects and making presentations
  • 5+ years of customer response / customer service experience
  • Intermediate level of proficiency in tracking, trending and reporting on metrics
  • Intermediate to advanced proficiency in MS Excel and PowerPoint
74

Data Operations Analyst Resume Examples & Samples

  • Provide the data support for enterprise data integration tasks, including acquisition, ingestion, standardization, enrichment, mastering and assembly of data products for downstream applications
  • Work on all Data Domains across the enterprise including: Engineering, Manufacturing, Purchasing, Finance, and Marketing
  • Acquire external data assets in support of enterprise use cases
  • Provide visibility of any Data Quality issues and work with the business owners to
  • Bachelor’s Degree in Computer Science, Business, or related technical field
  • 5+ years of experience with one or more of the following
  • Experience with creative sourcing of new data sources to support a wide assortment of use cases
  • Experience with data contracts, terms and conditions, and licensing
  • Experience in data and analytics sales
  • Experience with large data producers such as IHS/JD Powers/Dun & Bradstreet (and competitors)
  • Strong background in data research, data mining, and library based skills
  • Knowledge of analytic tools such as SAS, R, Alteryx, etc
  • Experience building visualizations using Tableau, Qlikview, or equivalent software
  • Ford purchasing experience
  • Detail oriented with a strong drive to enforce common standards
  • Demonstrated customer focus experience with the ability to evaluate decisions through the eyes of the customer, build strong relationships, and crate processes with the customers’ viewpoint
  • Flexibility and durability in a changing environment: always looking for ways to improve the process and ability to confront difficult circumstances in creative ways
  • Strong verbal and written communication skills including the ability to communicate complex solutions in unassuming terms
75

Analyst Ssbo Client Reference Data Operations Resume Examples & Samples

  • Good Team Player
  • Sound technical knowledge
  • Exceptional interpersonal and organizational skills, be able to plan and manage multiple tasks simultaneously, and feel comfortable communicating complex, detailed information with all levels of staff
76

Analyst, Global Data Operations Resume Examples & Samples

  • Perform business structure maintenance of positions and supervisory org units in Workday and SAP Portal, analyze data, resolve discrepancies and communicate resolution to requestor
  • Handle daily Global Data Integration (GDI) kick-outs for Move Worker transactions, including running reports, processing Move Worker and Assign Superior mass uploads (EIBs) and checking for errors
  • Responsible for workforce data maintenance as it pertains to business processes, ie, analyzing errors, processing updates, correction requests and rescinding within Workday and other integrated systems
  • Handle workforce data mass uploads for GDI countries
  • Handle HR Operations case management tickets – review the assigned tickets, update accordingly, investigate issues, escalate as appropriate
  • In support of the global Data Integrity Auditing process, perform regular audits and follow up with HR Services to correct data discrepancies
  • Support other Global Operations teams in peak periods, as assigned by the Coordinator
  • Other responsibilities as assigned by the Coordinator include: administering system access forms; providing demos and training to HR Services; assisting with preparation of system support related communication materials and internal documentation
  • Identify areas for improvement on daily operational processes to drive data accuracy and global compliance and provide support to implement these initiatives by highlighting and discussing key changes/improvement programs with the Manager
  • Work in collaboration with other team members to execute tasks and fulfill key deliverables, providing input and assistance as needed
  • Establish and maintain a confidential and sensitive work environment, focusing on customer service by handling all customer requests in a professional manner
  • Participates in scheduled and ad hoc training in order to improve performance, process acumen and gain additional knowledge on Workday processes and system
  • Required Minimum Education: Bachelor’s Degree
  • Required Years of Related Experience:1-3 years of related experience preferred
  • Attention to detail & accuracy a must
  • Proficiency in Excel is required, experience in Access is an asset
  • Proficient verbal and written communication skills in English in order to communicate with customers and peers
  • Demonstrate a high degree of confidentiality and sensitivity to compliance-related matters
  • Knowledge of standard business practices and professionalism in a customer service environment are essential.HR Operations
77

Data Management Field Data Operations Manager Resume Examples & Samples

  • Compliance, Knowledge & Skills
  • Technical and Business Expertise
  • Teamwork and Collaboration
78

Senior Data Operations Engineer Resume Examples & Samples

  • Serve as the lead technical resource for FDMEE, ODI, EPM and Hyperion integration technologies
  • Drives operational activities
  • Ensure compliance to system architecture, methods, standards, practices and participate in their creation
  • Applies industry leading standards/practices across all integrations
  • Ensures compliance to system architecture, methods, standards, practices and participate in their creation
  • Develops peer, cross- functional and cross-GE Business relationships to maximize best practice sharing and team effectiveness
  • Collaborate with IT Business Analysts, EPM architects and leaders on the Corporate Hyperion team across the Hyperion suite (DRM, Hyperion Financial Management (HFM), Hyperion Planning, Essbase, etc.)
  • Coordinate with EPM IT and Finance teams to prototype, refine, test, and debug applications to meet the needs of the Enterprise Standard or the Business Units
  • Leads requirements gathering activities with functional customers across the company, while balancing their needs with adherence to the Enterprise Standard
  • Minimum 5 years of IT programming experience involving Financial Systems
  • Minimum 5 years working with system analysis, design; supporting enterprise platforms
  • Minimum 3 years of IT programming experience with ETL
  • Minimum 3 years of driving technology decisions and directing a development team
  • Prior implementation experience with EPM and Oracle Integration Product Suites (DRM, FDM/FDMEE, ODI, HFM, etc.)
  • Knowledge of financial systems, financial cycles and processes; Sarbanes Oxley experience
  • Self-starter, requires minimal direction to accomplish goals
  • Strong desire for exploring, evaluating and understanding new technologies
  • Experience with complex system integrations
  • Experience with Hyperion FDM 11.1.X (FDMEE is a plus)
  • Experience with the other tools: ODI, Informatica, Oracle Financials, Appworx, EPM suite, SOA, Backoffice, OBIEE
  • Proven experience in onshore and offshore team management
  • Strong team player – collaborates well with others to solve problems and actively incorporates input from various sources; has experience working with others on a global basis; applies knowledge to coach and mentor others
  • Change oriented – actively generates process improvements; champions and drives change initiatives; confronts difficult circumstances in creative ways, balances multiple and competing priorities and executes accordingly
  • Black Belt or Green Belt Certified (GE Employees Only)
  • ITLP Graduate (GE Employees Only)
79

Master Data Operations Manager Resume Examples & Samples

  • Provides direct supervision, advice, and/or focus to Master Data Team Managers and extended Leadership team
  • Responsible for adequately resourcing the team in order to complete work and/or resolve problems
  • Participate in the GSC’s Health of the Organization (HOO) and Management Team Review (MTR) processes, assisting in developing leadership across all business processes
  • 7-10 years of equivalent work experience in Supply Chain, Manufacturing, Operations and/or IT
  • Supervisory Experience, 5+ years with 25+ employees
  • Experience leading large, cross cultural teams within a shared service center organization
  • Ability to communicate and influence at all levels in the organization from executives to end users
  • Enjoys leading people
  • Demonstrated leadership, development and coaching skills
  • Detailed oriented and enjoys working with operational processes
  • Collaborative Team player
80

Data Operations Manager Resume Examples & Samples

  • Provide Manager leadership to teams
  • Prioritize and assign work to meet deadlines
  • Write annual reviews for all direct reports with quarterly check-ins
  • Manage corrective actions per People Services and management
  • Interview and hire resources as required
  • Engage the team in training for essential duties
  • Maintain regular meetings with direct reports individually and as a team
  • Build leaders within our teams
  • Strategic planning for Davita’s data services platform
  • Coordination with development and architectural teams on data integration strategies
  • Bridge between development and support teams for data services
  • Clinical outcomes consistently ranked above the national average
  • 5 years managing technical teams in an operational capacity
  • Bachelor’s Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience
  • Experience with Enterprise Application Integration (EAI)/Enterprise Service Bus (ESB)
  • Experience with data services platforms such as Hadoop, SPLUNK, Netezza
  • Experience with SDLC practices and tools such as JIRA, Starteam
  • Project management skills. Familiarity with Agile methodologies
  • Demonstrated analysis and communication skills, able to connect technology and business problems
  • Demonstrated ability to work well with cross-functional groups
  • Commitment to DaVita’s values of Service Excellence, Integrity, Team, Continuous Improvement, Accountability, Fulfillment and Fun with ability to demonstrate those positively and proactively to patients, teammates, management, physicians, and/or vendors (Village Service Partners) in everyday performance and interactions
  • Demonstrated ability to manage multiple projects, meet deadlines, and adjust priorities appropriately in an evolving work environment with shifting time frames; self-starter with high degree of initiative, urgency, and follow through
  • Familiarity with the following Integration, Database, and Data Services technologies
  • Database: Oracle, SQL Server, DB2
  • REDHAT Fuse: ActiveMQ, Camel, and Karaf, JAVA, etc
  • Denodo, Informatica B2B Gateway, Lenoma
  • Netezza, Splunk, Hadoop
  • Web/ Application Servers: Glassfish, Apache, Tomcat, JBoss, etc
  • JMS, JMX, JSF, Web services, SOAP, etc
81

VP, Provider Data Operations Resume Examples & Samples

  • Lead and mentor a leadership team responsible for operational execution, strategic service model planning and implementation, data intake and routing, and quality improvement initiatives crossing business teams and operating groups. Coordinate and complete projects, define performance and results, and manage vendors and service providers. Partner with workforce planning teams, Learning and Development and IT on improvement portfolio. Provide overall leadership in the areas of Execution, Loading & Reconciliation, Global Business Strategy, Intake / Routing and Performance Improvement
  • Develop business plans to continue the acceleration of provider data quality including an emphasis on the operational process and systemic improvement
  • This position will have interaction with senior leaders due to the enterprise visibility of provider data and the impact to the enterprise as well as daily engagement with internal stakeholders, including UHN and LOBs
  • Proactively initiate and develop strategies to drive change in processes, tools and capabilities that increase operational efficiency and effectiveness of provider data while concurrently improving the provider experience and complying with regulatory requirements
  • Collaborate with key internal and external business partners to stay abreast of changes in the commercial, regulatory and individual marketplace. Proactively communicate and drive strategic and operational plans to achieve the required operational results
  • Deliver on all business objectives relating to employee engagement, financial responsibility, quality, provider satisfaction, audits and compliance
  • Build and foster relationships within a matrix organizational structure to proactively resolve issues, drive efficiencies and champion provider data
  • Lead and develop a high - performance, provider focused management team and workforce
  • Establish and maintain strong working relationships with key constituencies, including UHN leadership, local market leadership, regional provider service/advocate leadership, Network Operations business owners, Compliance Officers, UHC Operations and other segment and division leaders (both commercial and government)
  • Communicate plan and results across multiple stakeholder groups and executive leadership
  • Foster a culture of accountability that emphasizes people and performance management, coaching and development, and employee engagement
  • Maintain a global perspective and effective management of internal and external vendors to ensure turn around and quality metric attainment
  • Create a work environment that sustains high employee engagement and retention of talent
  • Must be able to travel 10 - 15% and oversee a large staff throughout the US and global operations
  • 8+ health insurance operations’ experience
  • 5+ years of leadership experience with indirect reports of teams of 100+ or more
  • 3+ years of vendor management oversight experience
  • 2+ years of experience with change management
  • Intermediate level of proficiency with MS Word, Project, Excel and PowerPoint
  • Ability and willingness to travel 15 - 20% of time
  • Strong analytical skills with ability to drive transformational, provider focused change and manage long - term programs
  • Demonstrated ability to solve complex business problems and strong analytical skills with ability to drive transformational, consumer - centric change and manage long - term programs
  • Experience with strategic, provider focused initiative development and implementation, including operating policies and procedures and work process improvements required
  • Exceptional presentation, written and verbal communication skills. The proven ability to collaborate and influence business partners is essential
  • Strong history of quickly building relationships, gaining credibility and partnering with business leaders. Must excel at building teams and collaborating across multiple distinct business groups
  • Proven skills in operational process and systemic improvement
  • 2+ years of global business partnership
82

Data Operations Analyst Resume Examples & Samples

  • Ensures data environment is refreshed timely and accurately according to production schedule
  • Supports and interacts with the product engineering & RMA teams to gather and analyze business requirements formetrics collection
  • Supports other team members with complex data issues, as required
  • Analysis and generation of operational data for management presentations and proposals (i.e., corporate metrics)
  • Maintain and support SQLdatabase operations with data transactions. Prepare reports using data extracted from SQL database
  • Provide to Operations management reports, as required
  • Work with process owners to coordinate process changes and determine best practices
  • Practice and reinforce lean culture through SS, continuous improvement, and workshops, as necessary
  • Analyzes and proposes improvements to existing SQL databases for production and RMA group and/or proposes new databases to replace current manual processes
  • BA/BS degree (or equivalent) in Electrical Engineering or related subject
  • Previous experience in electronic industry, minimum 2 years
  • Previous experience in SQL database
  • Must be an intermediate user (minimum) of Microsoft Excel, PowerPoint, and Word
  • Excellent verbal/written communication and inter-personal skills
  • Job candidate will have a customer focused approach and be an excellent independent troubleshooter/problem solver
  • Previous experience in SAP
83

Programmatic & Data Operations Specialist Resume Examples & Samples

  • Working in a team to manage setup of the desktop & mobile display and video impressions are optimally setup to ensure the best inventory is exposed to the highest yields
  • The delivery and optimization of audience targeted campaigns are optimised to perform and meet client goals and expectations and provide Turner with margin and profit – both programmatically and directly
  • Being able to understand and advise on the programmatic technical stack and the commercial strategies that rely on these platforms will be key as will being able to link the technical focus between the tech platforms and flow of information/data
  • The Programmatic and Data Ops Specialist will work closely with the Head of Programmatic and Data Operations and the Global Ad Operations Manager to ensure the tech set up is functioning correctly and efficiently within DFP and the delivery of audience targeted campaigns is optimised for full delivery and performance – using Turners’ DMP, Ad Server & SSP
  • You will be supporting demand partners ensuring they are interacting with DFP Dynamically and efficiently to maximise revenue through fill rate and eCPM and support the optimization of the stack working closely with the internal teams ensuring the tagging structure is allocated to maximise yield
  • Key performance metrics will focus on accuracy, margin / eCPM improvements, fill rate increase and operational efficiencies, thus being able to analyse large data sets from partner platforms and make timely business decisions is key to the role
  • You will also be required to build and manage data segments, giving feedback on performance of campaigns
  • Proven experience working within the online advertising industry
  • Experience working within programmatic advertising – agency or publisher (digital)
  • Hands on using SPP technology such as Rubicon, AdX, PubMatic or a good understanding of their capabilities
  • Knowledge of using DMP technology or a good understanding of a DMP capabilities
  • Commercial exposure to ensure understanding between ops efficiency and revenue generation
  • Understanding of dynamic allocation/ Header bid technology
  • A good understanding of Ad Servers – DFP experience
84

Data Operations Analyst Resume Examples & Samples

  • The role holder will provide Analyst and SME support across Data Operations teams serving multiple businesses
  • They will act as a support and escalation point for the relevant BPO’s as well as Front Office colleagues
  • They will support all new and ongoing demand on the business area and escalate any issues or risks to the business as they arise
  • They will support the business in initiating and progressing the Lean Sigma and Agile agenda
  • They will support the business area in delivering our automation agenda
85

M HIS Data Operations Student Internship Resume Examples & Samples

  • Currently pursuing a Bachelor's degree in Computer Science from an accredited university
  • Currently possess a cumulative GPA of 3.0 or higher on a 4.0 scale
  • Completed coursework in relational databases, SQL
  • Experience in Healthcare Data
  • Excellent verbal / written communication skills
  • Experience with other programming skills/languages
86

Data Operations Manager Resume Examples & Samples

  • Analyze data to assist in the identification of issues along with Data Quality, IT and Business Function subject matter experts in support of the close activities
  • 3 to 5 years experience in data management, financial close operations, or audit with direct involvement in or related to financial close processes
  • Develop and reinforce open, considerate and effective relationships with customers, external contacts and primary data consumer senior leadership
  • Ability to think analytically
  • Attention to detail and the ability to work with a distributed multinational and multicultural teams
  • Ability to work under pressure and creatively address various topics on-hand
  • Proficiency in Microsoft Office (Word, Excel, Powerpoint, Project)
87

Senior Data Operations Analyst Resume Examples & Samples

  • No specific qualifications essential. Attitude and approach are more important for success in this role
  • Business, Economics, Investment, Mathematics, or Technology education useful but not essential
  • Passionate about data, attention to detail and quality in every aspect of work
  • Process mapping and engineering useful
  • Working knowledge of the Asset Management industry preferred but not essential
  • A relentless hunger to learn more about:-
88

Data Operations Specialist Resume Examples & Samples

  • Track documents received and completion dates
  • Create back up files for all data
  • Applies compliance policies, precedent and experience to make complex decisions
  • Engage positively across multiple teams to establish clarity, vision and mutual trust to achieve business goals
  • Strong common sense and logical reasoning skills
  • Familiarity with remote monitoring and diagnostics solutions and concepts
  • Problem solver with strong critical thinking and decision-making ability
  • Ability to takes ownership of small and medium sized tasks and deliver results
89

Manager, Campaign & Data Operations Resume Examples & Samples

  • Responsible for the technical/systems analysis, design, development, unit testing, system integration testing implementation and support of software applications using existing and emerging technology platforms. Role includes custodian of the established architecture assuring that documented standard and procedure are adhered to and ensure the smooth interpretability of the applications
  • Work to develop a thorough of the understanding of the business units they support along with well-developed people and project management skills
  • Can articulate and communicate the application architecture and act as a technical consultant to mentor other within the group Oversees technical and functional documentation
  • Analyzes, defines and documents requirements for data, workflow, logical processes, hardware and operating system environment (eg: data security, physical disk storage management as well as backup and recovery tasks)
  • Database Design, Change Control Management,
  • Closed loop campaign analysis including End of Campaign file validation/report creation, alert notification and processing
  • Collaborating with IT Platform Management, work with the business to obtain the necessary clarity o the requirement at a function point context. Also responsible for Systems integration testing of applications prior to production release
  • Problem solving and resolution with Rogers IT for Oracle DB issues. A knowledge of IT protocols and procedures would be an asset
  • Creation of environment for developing campaigns using macros, such as packages, triggers, procedures and macros
  • University degree in Computer Science or an IT related discipline
  • Proficient to Superior skills in Oracle programming & Deveopment (packages etc)and other database products such as SAS
  • Minimum five (5) years Database/datawarehouse development (some prior marketing experience is preferred)
  • Solid relationship building, negotiation and influencing skills, with a proven ability to work within a team environment
  • Self-starter with proven organizational skills. Able to prioritize and handle multiple task and deadlines
90

Data Operations Manager Resume Examples & Samples

  • Manage a team of up to twenty Associates and Specialists, including a Team Lead and Team Coordinator
  • Strategize and define the team’s daily/monthly/quarterly goals & priorities
  • Held accountable by the Sr. Data Operations Manager for team’s ability to hit goals/KPIs and is expected to communicate the team’s progress towards all goals to the Sr. Data Operations Manager and cross-functional stakeholders
91

Data Operations Specialist Resume Examples & Samples

  • Responsible for completing all assigned tasks related to monitoring and maintaining the integrity of critical investment systems data used by investment management, marketing, and sales teams
  • Assist with data validation projects as assigned, including but not limited to accounts, entities, and securities
  • Assist with various systems projects assigned, including but not limited to efforts bring new data into the firm’s data warehouse and new uses of the data across the firm
  • Work with investment and sales personnel to define and create reports that improve access to information related to investment and market data
  • Respond to ad hoc requests for investment and client data
92

Associate Client Reference Data Operations Resume Examples & Samples

  • To be proactive in identifying process and knowledge gaps, and effectively manage escalations
  • Identify opportunities for increasing operational efficiencies
  • Interact and communicate with the business partners / requestors on regular basis to help them manage their expectations
  • Should manage training needs of the team along with ensuring completion of the mandatory targets
  • Workforce management, scheduling & rostering, leave planning
  • Provide Monthly Performance Metrics
  • Ensure updating of SOPs/ Issue Logs/ Exception Logs– Current version to be updated on Share--point
  • Ability to handle matrix reporting for self and teams
  • Focus on Client, Quality and Control environment
  • Excellent Time Management Skills and highly result oriented
93

Claims Encounter Data Operations Manager Resume Examples & Samples

  • Working knowledge of 837 data submissions, claim flow process and clearinghouse functions
  • In depth understanding of claims processing and payment for PFFS and capitation claims
  • Working knowledge of MRA/ HEDIS programs, ICD-10 coding & P4P incentive plans
  • Leadership skills in health care, managed care or health plan setting
  • Ability to drive accountability to meet quarterly and annual objectives
  • Background in process improvement, data metrics and project management
  • Proficient in Excel, Access, Visio and Office products
  • Familiarity of SQL/Oracle and working with large data sets
  • Knowledge of Medicare Advantage
94

Senior Data Operations Engineer Resume Examples & Samples

  • Build data expertise and own data quality for the awesome pipelines you build
  • Excellent experience and ability to work with technical and business partners to gather requirements for analytics and reporting
  • Implement Reporting Services, Dynamic Dashboards, Report Development and Visualization
  • Use your expert coding skills across a number of languages from Python, Shell and Java
  • Develop/support applications within the Hadoop Stack
  • Work across multiple teams in high visibility roles and own the solution end-to-end
  • Self-Motivated, ability to troubleshoot issues with minimal supervision
  • 5+ years relevant work experience in software development particularly in the area around data
  • Good Unix/Bash scripting knowledge
  • Ability to write well-abstracted, reusable code components
  • Basic understanding of reporting tools such as Tableau and Micro strategy or similar tools
  • Basic understanding and knowledge of Dimensional data modeling, Data Warehouse and Reporting techniques
  • Good working knowledge in Java is a plus
  • Good understanding of Java and/or Python/Shell development is a plus
  • Good understanding in custom or structured ETL design, implementation and maintenance is a plus
  • Excellent communication skills including the ability to identify and communicate data driven insights
  • Experience with Agile Development
  • BS or MS degree in Computer Science or a related technical field
95

Data Operations Analyst Resume Examples & Samples

  • Advanced degree in computer science, data journalism or closely related field
  • 2-5 years of hands-on experience in front-end development and visualization role
  • Strong academic qualifications, including advanced understanding/coursework in database management and math (Linear Algebra, Calculus)
  • Advanced knowledge of interactive visualization and BI platforms (Tableau, Spotfire, etc.)
  • Experience with JavaScript visualization languages (D3, Highcharts, etc.), web-application frameworks (angularJS, Ruby on Rails, etc.), and web design skills (HTML, CSS)
  • Advanced programming skills in at least one of JavaScript, Ruby, Python, Java, R, C++, C#, etc
  • Ability to independently own front-end tool development and decisions, balancing demands and deadlines
  • Demonstrated aptitude for analytics
  • Proven record of leadership in a work setting and/or through extracurricular activities
  • Ability to work effectively with people at all levels in an organization
  • Skills to communicate complex ideas effectively
  • Position requires ability to travel 40-50%
96

Asset Management Cdo-global Data Operations Business Data Specialist Resume Examples & Samples

  • Responsibilities will include management of the BAU function across Pricing and Index/Benchmark data functions
  • Effective resolution of all Instrument & Pricing related issues in a timely manner as part of daily control processes
  • Appropriate knowledge of instrument, products and vendor data to identify, govern and remediate data quality issues and to statistically evidence such data improvements
  • To manage the BAU licensing requirements to ensure JPM Asset Mgt have appropriate contractual arrangements in place to fulfil data requirements
  • To lead and chair a number of governance forums to provide appropriate controls, communication and transparency of the instrument reference data and fair valuation process
  • Responsibilities will include ownership and delivery of data solutions for new front office systems or new products and markets, as well as identifying and implementing efficiency and process improvement enhancements with our third party service providers and key internal JPMAM stakeholders
  • A high degree of accuracy and awareness of system infrastructure is required, as are extensive research skills and a familiarity with the project lifecycle and the Agile methodology
  • Significant experience in the Securities and OTC modelling and pricing domain, preferably gathered through close interaction in the modelling of derivatives and liaison with the appropriate stakeholders, including Quant Research & Front Office
  • Extensive Management experience, developing, hiring and leading teams
  • Business analysis and problem solving and track record in leading large scale transformational programs
  • Good knowledge of industry market data, updates and trends
  • Experience at using various market vendor terminals such as Bloomberg, FT, Reuters etc
  • A good understanding of the asset management business
  • Proven ability to identify and solve problems
  • Ability to engage in multiple initiatives simultaneously
  • Strong analytical and product management skills including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements
  • Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of executives, managers, and subject matter experts
97

Analyst, Workday Data Operations Resume Examples & Samples

  • Assists in performing analysis of the HRIS system including data integrity monitoring and administration
  • Collects data as needed for reports and distribute information, analyzes data and provide results to HR team
  • Monitors ongoing maintenance of HRIS applications including needs analysis and capacity planning
  • Recommends, tests and implements plans for improvements, enhancements, and new applications to various systems
  • Prepares periodic reports using HRIS system
  • Trains department and organizational staff on system access and utilization
  • Updates files on HRIS systems and keep existing files current
  • Bachelor’s Degree Holder
  • Previous experience in HRIS or similar HR processes and system analysis expertise is preferred
  • Attention to detail & accuracy is a must
  • Proficient verbal and written communication skills in English
  • Proficient interpersonal skills and the ability to successfully work with internal stakeholders and colleagues to contribute ideas, identify opportunities, and contribute to positive outcomes
  • Must be willing to work on a mid shift
  • Willing to work in Paranaque1700139069W
98

Data Operations Manager Resume Examples & Samples

  • Maintain, enhance, and grow a top talent Data Operations team
  • Support engineers and data scientists in the computer vision machine learning R&D team by providing the services required to define, collect, manage, and annotate large volumes of visual data
  • Manage and execute against project plans and delivery commitments, including day-to-day activities of the team within an Agile/Scrum environment
  • Instill best practices for data collection and documentation, assure designs meet requirements, and deliver high-quality work on tight schedules
  • Develop and drive a high-level data strategy, as well as take a hands-on approach to implementing that strategy
  • Develop detailed plans for data collection, annotation, validation
  • Work with external vendors for data collection and annotation efforts as needed
  • Work with internal volunteers for data collection
  • Determine and set up internal labs for data collection
  • 5+ years of industry experience
  • 2+ years of defining, documenting and executing studies, e.g., data collection/annotation, usability, market research, etc
  • Lab set up experience
  • Experience managing vendors and vendor contracts
  • Proven success in building, motivating and retaining teams
  • Engineering process expertise, with understanding of Software Development Life Cycle (SDLC) principles
  • Robust project planning/execution skills including estimating, scheduling, executing and reporting on committed schedules
  • Agile/Scrum
  • Experience performing studies, data collection, beta trials, etc
  • Experience defining web-based tool designs and wireframes
  • Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
  • Solid judgment, organizational and problem solving skills
  • SQL, Python
  • Quality Assurance experience
99

Automated Data Operations Manager Resume Examples & Samples

  • Routinely acquires data from state and federal oil & gas regulatory agencies as well as third party vendors to satisfy requirements of information services and future products
  • Manage state and vendor relationships and ensure continuity of acquired datasets
  • Manage a team responsible for documentation of specific data attributes from data sources, building data mapping, business rules and workflow for on-going quality checks and data enrichment
  • Manage a team of automated data sourcing analysts and business subject matter experts responsible for the process and quality of data sourcing normalization and enrichment
  • Acts as a liaison between products and data team to translate product requirements into technical specifications for data sourcing efforts
  • Work closely with Project Managers and other project team resources to prioritize data resources
  • Participate in daily stand-up meetings to provide update on accomplishments, issues, and up-coming activities
  • Interface and communicate with other departments for scope, estimates, requirements and project deliverables
  • Partner with the Manual Data Sourcing team to identify opportunities to automate and gain efficiencies in current manual workflows
  • Identify and assess potential data sources that will add value to products and internal reporting and analytics
  • Recommends areas for improvement in existing data transformation processes and ensure that newly acquired data is quality checked and enriched
  • Manage the processes to track data quality over time, measure data timeliness, accuracy, consistency and completeness
  • Works with DBA’s, as needed, to manage schema changes
  • A minimum of 10+ years’ experience work experience
  • A minimum of 5+ years’ experience working with oil & gas Completion and Production data in upstream oil and gas
  • Strong understanding of relational database structure and data management concepts
  • Excellent understanding of SQL for data querying and analysis
  • Experience working with state oil & gas regulatory agencies is preferred
  • Advanced data analysis, validation and processing skills
  • A demonstrated track record of consistently meeting and/or exceeding performance expectation
  • Experience with the PPDM(Professional Petroleum Data Management) model is a differentiato
  • Strong consideration to candidates with experience interacting with solutions that include ETL scripts, SSMS, PPDM (Professional Petroleum Data Management) and working in information and data services sector
  • Bachelor’s degree and previous management experience is required
100

Data Operations Manager Resume Examples & Samples

  • Work with the Data Business General Manager (GM) to identify and own clear and concise operational KPIs to realize the overarching business strategy
  • Set clear and ambitious goals and inspire your teams to achieve them
  • Create, communicate and implement strategies to rapidly improve efficiency and build a scalable organization through continuous improvement
  • Lead, motivate, manage, develop and reward operations teams responsible for ETL support, campaign customer service, customer engagement, and more
  • Utilize metrics, system tools and operational experience to measure results to inform daily operations, escalations, decision-making and ongoing strategic iteration
  • Communicate and build relationships effectively down, across and up within the Data Business and IDEXX
  • Work with the GM and Finance to develop a scalable operations budget. Explain variances and support operations budget requests through appropriate business case presentation
  • Serve as a member of the Data Business Leadership Team contributing to Data Business strategy and executional success
  • Maintain knowledge of Company products, services and business operations as well as changes and developments in the industry affecting work activities. Participate in outside industry groups and forums related to business activities if/as needed
  • Adhere to and model the IDEXX Purpose & Guiding Principles
  • 7+ years Business Operations experience including at least three years in a managerial role overseeing at least one and, preferably, multiple operational teams
  • Strong people leadership aptitude and experience leading a team to success
  • Experience setting clear and bold goals
  • Excellent listener able to cohesively integrate disparate ideas and build alignment
  • Experience developing, communicating, executing and iterating a clear operational strategy to achieve success
  • Proven ability to improve operational scalability through prioritization, process design, capability development and judicious application of technology
  • Strong process-orientation with proven ability to prioritize, organize and coordinate the work of self and others across multiple, interrelated operations
  • Effective communicator (presentations, correspondence, and 1-on-1) with well-developed interpersonal skills able to collaborate effectively and professionally at all levels of the organization
  • Strong analytical and logical reasoning skills
  • Financial literacy and business acumen
  • Facile with modern cloud-based collaboration, interaction and communication tools as well as with the full Microsoft Office suite
101

Senior Data Operations Manager Resume Examples & Samples

  • Work closely with the marketing managers to evaluate the customer target audience criteria and data specifications and apply their understanding of both direct marketing best practices and available data to recommend the appropriate targeting and data strategy to meet the direct marketing campaign business needs
  • Communicate complex data and segmentation criteria to programming team
  • Perform data audits to ensure accuracy of the customer list generated
  • Manage multiple projects simultaneously against deadlines without sacrificing accuracy -this includes significant coordination with cross-functional teams (internal and external)
  • Serve as primary data POC in working with vendors and internal partners such as Responsys, Experian, and various other agencies, along with internal marketing and analytics team members
  • Drive implementation of new data procedures and manage processes end-to-end, while maintaining visibility with stakeholders
  • In conjunction with the broader analytics community, identify customer attributes and variables through modeling and/or profiling that lead to more effective segmentation strategies and increased campaign ROI
  • Measure YOY metrics and employment of campaign and fiscal-year data to drive insights and strategic recommendations on how to improve direct response effectiveness and efficiency
  • Identify and implement process improvements that result in execution efficiencies, higher-impact segmentation strategies, and stronger test plans
  • Work across Intuit businesses to supervise strategies of cross sell campaigns to targeted customers
102

Voice & Data Operations Manager Resume Examples & Samples

  • 7 years of experience working as a Voice and Data operations manager
  • 2 years leadership experience
  • Able to work extended hours as business needs dictate
  • Occasional overnight travel
  • Ability to manage multiple tasks at once
  • Financial analysis and forecasting/budget
  • Strong drive for results
  • Knowledge of IVR/Telco systems a plus (Cisco, etc.)
  • Calm demeanor during critical issues/situations
  • Team player to help promote and maintain positive interaction across various areas of JHA
  • Strong ‘people’ skills to effectively manage employees/customers
  • Progressive attitude with regard to issue resolution, process changes, and future situations
  • Innovative problem solving skills
  • Oversees accurate and timely installations of new or enhanced products and services. Ensures installations meet customer expectations and are in accordance with contract terms and conditions
  • Ensures the successful migration of customer data
  • Manages post-sales technical product support activities and facilitates resolution of technical problems on any and all products
  • Ensures all questions regarding functionality are thoroughly researched and resolved
  • May oversee the release of new software products to user base
  • May oversee employees responsible for making changes or updates to application code
  • May oversee the delivery of software application training to customers
  • May support the sales process with pertinent information such as quotes, installation dates, and may participate in sales meetings
103

M HIS Performance Data Operations Manager Resume Examples & Samples

  • Bachelor’s Degree or higher from an accredited university
  • Minimum seven (7) years of experience in hospital revenue cycle data analytics (inpatient and outpatient)
  • Minimum of three (3) years of experience managing multiple cross-functional teams
  • Master's degree from an accredited university
  • Minimum of four (4) years of experience in a revenue cycle consulting practice
  • Ability to manage a cross-functional team
104

Director, Data Operations Technical Services Resume Examples & Samples

  • Manages regional clinical programming operations based upon geographical assignments by providing direct line management of departmental associate directors and group managers. Line management responsibilities including professional development, performance appraisals, and employee counseling for junior and management staff. Assigns project work and reviews workload for all direct reports. Manages staff by establishing goals that will increase knowledge and skill levels, and by delegating tasks commensurate with skill level. Manages regional and site resource, resolving conflict/priorities as necessary and making recommendations to management as required. Works with and advises subordinates on administrative policies and procedures, technical problems, priorities and methods
  • Maintains and updates departmental SOPs and technical practices based upon application and industry updates; building quality delivery systems
  • Liaises with Human Resources department for recruitment strategies and forecasting
  • Develops training materials associated with Clinical Programming operations and delivers training to Clinical Programming department and others with needs for Clinical Programming information
  • Creates, reviews, and approves proposals and change orders
  • Attends bid defenses, study kick off, project review, and departmental review meetings
  • Ensures high quality deliverables at regional-level by providing senior review of core deliveries for accuracy, performing in-progress audits, and attending sponsor audits
  • Ensures regionally assigned project timelines and scope of work are achieved as on-time, high quality deliveries
  • Prepares activity, resource, and progress reports regarding the clinical programming group for upper management review
  • Oversees the development of project specific software applications and ensures company documentation and computer system validation requirements are adhered to
  • Oversees the management of application vendors and serves as an escalation contact
  • Facilitates regional departmental project review meetings, ensures resourcing tools are up-to-date, and performs periodic analysis of realization and utilization targets for senior management. Maintains departmental regional-level utilization and realization targets at a profitable level
  • Utilizes primary development tools including Oracle RDC, Phase Forward Inform, Medidata Rave, SAS, NCG CRF Work Manager, and other supporting tools
  • System knowledge of healthcare records, data transfer from healthcare records, and integration
  • Experience working a matrix environment with cross functional teams
  • Knowledge of Spotfire preferred
  • Master's in Public Health preferred
  • Bachelor’s Degree in computer science or related field, and extensive experience, particularly in clinical programming and relational database development; or equivalent education and experience
  • Requires programming proficiency in electronic data capture (EDC) and data reporting and/or transformation languages, e.g. PL/SQL, SAS, C#
  • Clinical Data Management experience, familiarity with medical terminology, clinical data and Good Clinical Practices is preferred
  • CRO industry experience is desirable
  • Requires strong organizational, presentation, documentation and interpersonal skills as well as a team-oriented approach with significant management experience
  • Demonstrated experience in managing multiple priorities in a highly dynamic environment is essential. Demonstrated experience in leadership within a matrix team environment is necessary
  • Requires proficiency in Word, Excel, and PowerPoint
  • Travel may be required for sales presentations and to address project-specific needs; however, this will not be a significant part of the position
105

Director Data Operations Resume Examples & Samples

  • Bachelor’s degree required, master’s degree a plus. Degree concentration in a quantitative, analytic or business discipline preferred
  • Work experience (7+ years) as a data curator in the fields of data science, information management, or clinical trials
  • Certification or extensive practical experience with life science coding systems (e.g. SDTM, ICD-9/10, MeSH, HL7, SNOMED CT, CPT)
  • Experience leading or mentoring mid-size to large teams of data standardization specialists
  • Experience using project management tools and methods while working on large, cross-functional project teams in a fast-paced business or technical setting
  • Proven track record of change management including process improvement and evaluation of new technology
  • Eagerness to establish a deep understanding of effort from the team and willingness to roll up your sleeves and participate in the team’s work
  • Excellent verbal and written communication skills including ability to constructively interface with all levels of management and technical staff
  • Advanced skill in MS Office, specifically PowerPoint, Excel and Word. Exposure to any of the following is a big plus: data analysis software tools (SAS, R, SQL), intelligent OCR/ICR systems, computer programming, statistics, data management, BI visualization tools
  • LI-RL
106

Data Operations / Trade Summer Internship Resume Examples & Samples

  • Work with a team member to create automated queries, reports, and displays for the day to day operational functions, KPTs and OKRs, for Trade portfolio managers and acquisition team on the internal trade intranet site
  • Partner with the team to create an editable database to be used for PII/SPII data and audit purposes
  • Work with a team member using version control software (GIT) on a web application that connects from a JavaScript front-end to APIs on a Java back-end
107

Global Data Operations Summer Internship Resume Examples & Samples

  • Develop and launch a SharePoint portal for UK&I Data Operations
  • Investigate trends in operational data metrics eg: Is there a seasonal trend in businesses going out of business
  • Conduct analysis relating to the changing nature of the UK data collection market eg: How often do businesses update their websites
  • Design and Build some simple reporting dashboards to help aid the data operations teams
108

Mission Control Data Operations Specialist Resume Examples & Samples

  • Manage the missioncontrol@fb.com (mailto:missioncontrol@fb.com) e-mail alias inquiries from internal stakeholders
  • Manage the headcount management tool queue to approve transfers, move positions, and unblock transactions
  • Assist Recruiting & HR with position management inquiries for job requisitions or offers
  • Work with Finance partners and Mission Control Program Managers on tracking changes to budget in headcount management tool and change management log
  • Maintain data integrity of Tech headcount positions (cost center, manager, talent profile, location, team assignments , etc) within Workday and SalesForce
  • Support team's analysts with dashboard and analysis accuracy
  • Meet with executives, engineering managers, product managers and non-technical clients to help work through hierarchy restructuring or reconcile headcount discrepancies
  • Answer database questions and reconcile systems of record
  • Determine the best possible ways to streamline current process and identify solutions to either speed up or automate manual process
  • Work with data infrastructure, tooling and process teams to triage data-quality issues and drive to long term improvement of data quality
  • Exercise good judgment and, when unable to resolve issues, proactively raises risks and concerns to lead/manager
  • Facilitate training sessions for new recruiters, HR partners, managers, etc
  • Works directly with partners without supervision
  • B.S. or B.A., 3+ years problem-solving/data experience
  • Must possess communication skills
  • Organized and able to communicate any changes that would impact program success day-to-day
  • Ability to field requests from team members, manager or leaders from across Tech
  • Must adhere to response time SLA
  • Ability to fill the gaps across all Tech functions and sites that we support: Communication should be consistently delivered with agreed upon actions, owners and timelines
  • Experience investigating incorrect data patterns and address root cause to fix in long term
  • Knowledge of Tableau, Workday, SalesForce
  • Proven skills in Microsoft Excel
109

Data Operations Manager Resume Examples & Samples

  • 40% - Driving Data Maintenance
  • Design and drive execution of seamless flow of data from source to the front-end application
  • Design, leverage and build test plans and metrics to validate success of the team’s work
  • Act as go-to resource to both team and stakeholders for analysis and in-depth understanding of source data
  • 30% - Managing Process Improvement/Scalability
  • Drive optimization and automation of standard processes
  • Identify and execute enhancements and optimization to code base - to improve scalability and performance
  • 25% - Managing Relationships
  • Proactively research and resolve data issues that impact client success
  • Coordinate projects and collaboration with internal teams to improve the data integration system
  • Drive team’s support and guidance to cross-functional teams and technical resources
  • 5% - Special Projects
  • Coordinate individual and team roles in ad-hoc data operations needs and cross-functional projects within Population Health
  • 5+ years of professional experience with relational databases – writing queries and managing data; SQL programming experience required
  • Extensive experience using data management tools and applying analysis techniques
  • Experience with independently driving results and meet deadlines
  • Familiarity with healthcare data of the following types: Clinical and/or Payor Knowledge and understanding of athenahealth product suite and business model preferred
  • Experience in analyzing complex business problems
  • Experience managing employees and teams preferred
  • Self-starter who can come up to speed on various technologies and methodologies with minimal training
  • Adaptability and comfort with ambiguity as we grow offerings with diverse requirements, constituencies, and opportunities – and sometimes with constrained resources
  • Ability to drive to consensus with internal/external stakeholders at all levels
  • Models professional attitude and comfort working in a corporate setting populated by diverse types of people; able to cultivate positive team morale and maintain poise and a sense of humor in stressful situations
  • Confident presentation and meeting management skills
  • Ability to influence outwards and upwards with internal and external contacts - through enthusiasm, commitment, negotiation, and vision
  • Proactive approach to identifying solutions to problems and to taking on work that helps collective team meet their goals
  • Ability to independently prioritize, drive results, and meet deadlines
  • Ability to dive deep into information and articulate core findings to the broader group
  • Able to expresses complex issues succinctly and logically
  • Able to manage multiple projects simultaneously and transparently, ensuring that all internal and external stakeholders understand the goals and deliverables
  • Ability to work collaboratively, with or without direct reporting authority, to get results
110

Business Integrity Associate, Data Operations Resume Examples & Samples

  • Inform, influence, and execute new strategies and tactics using analysis and impact metrics to support your positions
  • BA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field
  • Experience resolving and communicating about issues with both technical and non-technical audiences
111

Data Operations Analyst Resume Examples & Samples

  • Bachelor’s Degree in Computer Science, Engineering, Math, Science or Statistics
  • 3+ years professional experience in data management analytics that includes: cleansing, standardizing, and transforming diverse datasets, and following proven analytical approaches to formulate and solve business problems
  • Masters or PhD in Statistics, Math, Physics, Engineering or Computer Science
  • Data Management and Analytics experience in Direct Marketing or Automotive Industry
  • Working Experience in Artificial Intelligence, Ontology Development, or Graph Databases
112

Data Operations Analyst Resume Examples & Samples

  • Support enterprise data governance model and activity to promote the concept of data sharing, data reuse, data quality and data standards
  • Implement security policies for users with appropriate access based on data classifications and roles
  • Serve as data governance subject matter expert and demonstrate an understanding of key principles and data usage
  • Support creation of data standards and assessment of data quality
  • Partner with data stewards to ensure all information utilized adheres to compliance, access management and control polices
  • Assist Data Operations analysts to discover and curate new and existing data sources (external data providers, public data, social media, digital exhaust, transactional data etc.) for use in building incremental value and insight for the business
  • Support activities to continuously increase data coverage by working closely with the Data Scientists and Analytic Teams to understand and evaluating data requirements to deliver the needed data
  • Support building metadata as needed for each data source
  • Working cross-functionally to support ad-hoc data and analytic projects
  • 1 + year of experience working with financial data or in a data management role
113

Data Operations Analyst Resume Examples & Samples

  • Proficient in a scripting language such as Java, Perl of UNIX shell script and be able to develop scripts in adherence to production standards
  • Working knowledge of file transfer protocols and applications, FTP/S, SFTP, CURL/ Connect:Direct,AXWAY,File Gateway
  • Working knowledge of SOS Berlin Job Scheduler / TWS 8.6.1. (or any midrange Workload Automation tool) proficient in the building of jobs and streams
  • Experience of Extract, Transform and Load (ETL) applications, such as Pentaho Data Integration, is esstential for the standardisation and validation of data sources
  • Familiar with TLS key cryptography and certificate management principles. Has a good understanding of SHA-1 &2
  • Understands the Change and Incident Management process; is proficient with Service Desk tools such as ISM and RightNow
  • An understanding of the PCI-DSS security standard would be advantageous
  • UNIX shell scripting
  • RHEL/SUSE/CentOS/AIX operating system experience
  • Workload Automation
  • ETL
  • Managed File Transfer experience would be desirable but not essential
114

Data Operations Analyst Resume Examples & Samples

  • Creating data standards, assessing data quality and creating required transformations
  • Collaborating with IT teams to support data collection, integration, and retention requirements based on the input collected with the business
  • Partnering with the data steward to ensure that all information utilized adheres to compliance, access management, and control policies as set forth by GDIA
  • Providing on-going tracking and monitoring of performance of decision systems and statistical models
  • Modeling and framing business scenarios that are meaningful and which impact on critical business processes and/or decisions
  • Working closely with different teams to solve problems related to analytics
  • Performing experimental design approaches to validating findings or testing hypothesis which provide business value
  • Improving department results through innovation
  • 1+ year of experience developing applications in Spark written in Scala. Big Data / NoSQL technologies including Hadoop (HDFS, MapReduce, Hive, Shark, etc.), especially command line experience with loading and manipulating files within HDFS and UNIX shell scripts
  • Master’s degree in Business, Information Technology, Analytics or other relevant disciplinary
  • Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
  • Proven ability to communicate (both orally and visually) findings to make data analysis actionable and understandable by business partners, including IT and analytics
  • Experience with Agile Software Development practices, Gradle or Maven for build management, Git for source code management, Junit for unit testing, Continuous Integration / Continuous Deployment software development practices
  • Experience with data analysis tools such as: SQL, Hadoop, Teradata, SAS, Excel, Access, etc
115

Manager, Data Operations Resume Examples & Samples

  • Lead the team in goal setting. Set direction with clear expectations, and empower the team to do their best work
  • Lead meetings to coordinate membership efforts, team needs, audit requirements, and coordination efforts with cross-functional teams
  • Ensure SLA (service level agreements) and PGs (performance guarantees) with clients are met
  • Coordinate audits and/or reviews of the membership intake process and systems
  • Produce and maintain appropriate documentation which enables effective data exchanges with clients
  • Ensure right-staffing to deliver the mission of membership to clients, members, and the business
  • Identify inefficiencies, and include the right people in the problem solving process
  • Bachelor’s Degree (Computer Information Systems, Operations Management, or related discipline) preferred. Additional years of experience will be considered in lieu of degree
  • 3+ years’ experience working in a data rich environment. Experience leading people and managing workflow is preferred
  • Solid understanding of data management software and solutions
  • Ability to understand and synthesize information quickly, convey information clearly and concisely, and devise solutions
  • Skillful in setting strategic priorities, taking ownership of projects, and collaborating with appropriate individuals and teams to get the right results
  • Excellent communication skills (ability to convey and receive understanding)
  • Strong critical thinking and attention to detail and accuracy
  • Ability to organize training plans, develop training documentation, and conduct meaningful training sessions for others
  • Ability to interface at all levels of the organization, and with clients
  • Ability to create and implement business strategies and processes
  • Familiarity with Managed Care terminology and Project management a plus
116

Data Operations Team Utah-director Resume Examples & Samples

  • Establishing metrics and reporting for senior management
  • Knowledge of data distribution systems and processes. Experience creating data quality deliverables such as data definitions, flows, standards, exception reports and data quality dashboards
  • Strong problem-solving abilities and analytical skills, ability to break down complex problems and projects into manageable pieces and come up with elegant and efficient solutions
  • Excellent data skills, including the ability to analyze, visualize, and present data in a clear and concise manner
  • Hands-on experience in a BI/visualization tool is a plus. Data Mart / Data Warehouse experience is a plus
117

Data Operations Team Utah-associate Resume Examples & Samples

  • Weekly reporting metrics production
  • 1-3 years of experience in a major financial services organization, or consulting practices with large-scale data or project management experience
  • Ability to write SQL query to run against large databases
118

Provider Data Operations Performance Liaison Resume Examples & Samples

  • Anticipate customer needs and proactively develop solutions to meet them
  • Serve as a key resource on complex and/or critical issues
  • Review work performed by others and provide recommendations for improvement
  • Authorize deviations from standards
  • May lead functional or segment teams or projects
  • Provide explanations and information to others on the most complex issues
  • Motivate and inspire other team members
  • Development of Efficiency and Effectiveness metrics including MBO goals and metrics
  • Develop and maintain e360 Reporting and MAP Calibration Tools
  • Partner with WFM on efficiency and effectiveness enhancements
  • Proof of concept initiatives / Pilot deployments
  • Conduct root cause data analysis
  • Conduct performance improvement recommendations
  • Development and implementation of remediation tactics (For Quality related remediation, partner with Provider Quality Management)
  • Develop and maintain suite of performance effectiveness SOPs
  • Contribute to and maintain leadership portal
  • Recognition Program oversight including but not limited to QVC administration
  • Compliance reporting oversight
  • Undergraduate degree or equivalent work experience
  • 2 years in leadership position within operations or working with metrics and analytical background
  • 3+ years in a UHC Operational experience, including experience with performance metrics, measurements and data analysis
  • Intermediate Microsoft Office skills: Word, Power Point and Excel experience required (creating documents, presentations, excel formulas, pivot tables, charts, etc.)
  • Experience in team interactions and improvement methods / projects (e.g., coaching, quality, productivity)
  • Experience writing policies and procedures
  • 1+ years with Employee Engagement and recognition programs
  • MACRO Express, Visual Basic, SharePoint experience
  • Previous experience influencing in a 'matrixed' environment
  • Six Sigma Green Belt or PMP (project management professional certification)
  • Working knowledge of Operations systems such as IEX, IMPACT, DAA, budget reports, transfer data, WFM adherence and attendance data
  • Basic knowledge and experience in finance (budgeting) and cost accounting
  • SSA or Minitab experience
119

Client Data Operations Resume Examples & Samples

  • Build and manage relationships with Business Units, Operations and Technology teams
  • Act as an escalation point and oversight for our offshore Data Operations team
  • Use knowledge in suggesting, driving and implementing system and process enhancements with immediate and long term solutions
  • Facilitate the onboarding process, chase in an appropriate manner and provide timely and accurate feedback to key stakeholders
  • Liaise with our global team to ensure an efficient global process and knowledge share
  • Provide regular metric updates
  • Supervise all functions of the team
  • Work with senior management on risk packs, KRIs, KRPs etc
  • Provide appropriate feedback and support to the team
  • Ability to interact and build relationships with senior members across departments in the firm
  • Understanding of regulatory landscape
  • Interest in the bigger picture and how to streamline processes
  • Strong excel skills, including pivot tables
  • Proven experience of managing a team
120

Workforce Manager, Maps Data Operations Resume Examples & Samples

  • 8+ years of directly related experience
  • Expertise in scheduling, forecasting and planning principles
  • Proven experience in creating high level summaries and recommendations to the business
  • Expert user of Microsoft Excel and WFM tools
  • Strong understanding of basic project management principles
  • A Foundation Certificate in Call Centre Planning is desirable
121

Data Operations Analyst Resume Examples & Samples

  • Working in iterative processes with the client and validates findings
  • Bachelor’s degree in Business, Information Technology, Analytics or related technical field
  • 5 + years’ experience in research and analytics
  • Proficiency in statistical analysis and techniques, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
  • Experience with data analysis tools such as: SQL, Hadoop, Teradata, SAS, Excel, Access, Alteryx, etc
  • Business development and relationship building experience to establish partnerships with third parties and internal stakeholders
122

Associate Director Production Data Operations Resume Examples & Samples

  • Leverages leadership skills to effectively manage, train, mentor and coach direct reports to meet goals and expectations. Creates a culture of teamwork and demonstrates the United cultural values through his/her actions
  • Management of the end-to-end workflow and team operations to meet internal service levels. Creates and drives effective process management and customer value metrics. Ensures implementation of control processes, policies, procedures and best practices
  • Development and implementation of business processes to promote operational efficiencies, process improvements, cost avoidance and/or cost-saving measures
  • Actively and consistently drives to meet the expectations of our internal and partner organization and to enhance the customer experience
  • Efficiently and effectively manage on-shore, near-shore and off-shore team members to ensure SLA adherence. Oversee day-to-day business activities, ensuring operational goals and timelines are met
  • Supports the achievement of unit financial and business goals, customer satisfaction, and compliance with the company’s policies, standards and goals
  • Ensure capital and operating department budgets are met, including responsibility of forecast, financials, invoice reconciliation and PO submission
  • Respects and encourages a diverse and inclusive workforce
  • Experience working cross-functionally (Business, Technology, Vendors) and with all levels of employees and leadership
  • 5+ years of experience Managing and Mentoring direct reports
  • Experienced with planning and managing cyclical data operations (people & process) to meet critical business timelines
  • Ability to communicate technical details in clear and understandable business language
  • Ability to travel domestically up to 25%
  • Previous experience maintaining budgets
  • Demonstrated agile development and process improvement experience
  • Adept at working with less structure and with more complex issues
  • PMP Certification, Lean Certification and or ITIL Service Management
  • Agile Program Experience
123

Assistant VP Data Operations Resume Examples & Samples

  • Participate and host daily touchpoints with a large audience of senior participants to communicate the current status regarding data availability and issues associated with data impacting the close
  • Work as part of a multi-function team to correct data during the close window to assure the overall quality of downstream reporting
  • Create necessary documentation and track progress of key processes and procedures, while capturing auditable data artifacts throughout the close to support internal and external audits regarding Data availability and overall quality
  • Develop and maintain knowledge on the BCBS239 guidance as well as the RaDAR program implementation so as to constantly adjust, as relevant, your activities to the approach promoted by the Group
  • Bachelor’s degree or MBA in finance, business or information technology (or international equivalent)
  • 5 years experience in data management, financial close operations, or audit with direct involvement in or related to financial close processes
  • In depth knowledge of data management and governance processes
  • Focused approach to problem solving which must include flexibility while maintaining keeping focus on priorities defined by overall impact
  • Ability to prioritize and manage a variable workload
  • Effectively conveys the message in both written and verbal business discussions
124

Associate Client Reference Data Operations Resume Examples & Samples

  • Reference data/securities knowledge
  • Should have worked on reference data platforms
  • Worked with external market vendor products like BBG, Reuters etc
  • A minimum of 7 years of experience in financial industry
  • A minimum of 5 years of technology business analysis
  • Strong client focus, Excellent verbal and written communications skills
  • Should have worked in Agile development environment
  • Candidate should be able to work alone and with a team to meet target dates
125

Data Operations Analyst Resume Examples & Samples

  • 4 year College degree
  • 2-3 years experience in Investment Management and Operations
  • Solid understanding of financial markets, standard asset classes, and various security types
  • Experience with relational databases and administration of system
  • FTS Systems Experience
  • Enterprise Service Bus capabilities
  • Experience with system automation, system development, workflow design analysis, and data analysis
  • Experience with business intelligence software and reporting tools
  • Experience in a global team
  • Ability to work in high pressure, fast pace, short notice, and adjust the priority of the assignments
  • Highly motivated, independent and dedicated
  • Strong written and oral communication
  • Proficiency in business intelligence tools (SAP Business Objects, IBMS Cognos) desired
126

Manager, Data Operations Resume Examples & Samples

  • Manage and provide strategic and tactical leadership for the Data Operations team
  • Ensure complete and accurate collection of data to support Spectrum Reach related to Audience Measurement, Reference Data Management, and Financial Databases
  • Continuously seek to improve processes by applying innovative and strategic thinking and by leveraging industry best practices
  • Present findings to senior management and solicit feedback via formal / informal communication
  • Lead special projects and field ad hoc requests around data as needed
  • 3-5 Years
  • 5+ years’ experience working with large, complex data sets
  • 3+ years of related management experience required, 5-7 years preferred
  • Completion of undergraduate degree and/or equivalent business experience required
  • Intermediate level knowledge of MS Office Applications including Word, Excel, Outlook, and PowerPoint
  • Moderate travel may be required (typically 3 nights per month)
127

Quality Data Operations Specialist Resume Examples & Samples

  • Performs monthly data analysis, collection, and quality control of all pharmacy audit results
  • Analyzes data to find potential issues/inconsistencies/areas and works with REMS Audit Specialist(s) to update
  • Assists with the monthly pharmacy audit schedule review and maintenance and acts as liaison or primary point of contact for all scheduling of pharmacy audits across internal and external stakeholders
  • Supports ongoing ranking of pharmacies and facilitates the forecast of planned audits at year end
  • Manage the U.S. REMS FDA document submission process as part of REMS Committee Review (RCR) team. This includes managing the review process cycle, serving a key REMS department liaison with RCR, ensuring that all key milestones are met and implementation of process improvements as required
  • Assists with SOP/WP compliance, prioritization, scheduling of procedural reviews, approval, and periodic reviews
  • Works closely with Associate Manager to facilitate SOP/WP creation and maintenance
  • Facilitates quarterly inspection readiness action items with appropriate line management and interacts cross-functionally with U.S. REMS management
  • Supports ongoing monthly Customer Care data analysis with Associate Manager
  • Provides support for eQRMS data migration and maintenance and interacts cross-functionally with IT to upload ClinAudit’s audit tracking templates on a monthly basis
  • Provides assistance with quality assurance and compliance functions
  • Supports Associate Manager in product failure investigation reports
  • Provides monthly data reconciliation support such as Product Quality Complaint reconciliation, AE reconciliation as well as other departmental data support needs
  • Supports the Associate Manager with other QC responsibilities as needed
  • Participates in required U.S. REMS projects as needed
  • Conducts business in accordance with Celgene Values
  • Completes all assigned SOPs and training within designated timeframe and adheres to job-specific SOPs and Work Practices
  • Dedicated to continuous learning to broaden technical skills and pharmaceutical industry acumen
  • Strong attention to detail and adherence to timelines and project milestones
  • Self-starter with the ability to work efficiently and in a fast-paced and constantly changing environment
  • Computer literacy required - Microsoft Office applications. Strong knowledge and competency in MS Excel with the ability to create pivot reports, trend analysis, and ability to structure and present data. Solid understanding of SharePoint environment
  • Familiarity with MS Access databases
  • Knowledge or familiarity with REMS a plus
  • Flexible team player with positive attitude, able to prioritize projects
  • Strong time-management, organizational, and problem-solving capabilities
  • Minimum 2 years of industry or relevant experience
  • Candidate should demonstrate motivation to independently increase skills and knowledge
  • Ability to work with minimal supervision, capable of applying knowledge to business practices
  • Associates Degree or nursing credentials are Minimum, Bachelor’s degree Preferred
128

PCI Data Operations Analyst Resume Examples & Samples

  • Support PCI-DSS remediation activities to ensure historic and new observations relating to the PCIDSS controls are remediated in accordance with audit-cycles
  • Using Protegrity software, Manage and execute data tokenisation / detokenisation requests
  • On an annual basis Support PCI-DSS certification process to ensure all requirements associated with System Access Management, Cryptography, Data Encryption and Data Transmission are fully compliant
  • Manage the collection of evidence for submission to PCI Qualified Security Assessor (QSA)
  • Construct and maintain end-to-end data flow maps that reflect all inbound and outbound data and those that contain Cardholder data (CHD)
  • Build and maintain a CHD scanning utility that automatically detects and flags the presence of CHD in Consumer and Commercial Data Portfolios received from our client base
  • Strong knowledge of PCI-DSS requirements associated with the protection of cardholder data and access control measures
  • Workload Automation knowledge
  • Data exchange knowledge
  • Bachelors degree is preferred but not required
129

Senior Data Operations Analyst Resume Examples & Samples

  • Bachelor’s degree in Healthcare Management, Computer Science or another technology/business field of study or equivalent experience required
  • 3-5 years experience working within a data or IT Operations group
  • Must have experience creating complex SQL statements, writing Stored Procedures, designing SSIS packages, and must be familiar with relational database modeling and design concepts
  • Experience with MoveIT, Aldera(or other claim processing systems), sftp/SSH applications, CMS EDGE Server, Linux/Unix scripting, SAS, Jira, and Confluence a plus
  • Knowledge of healthcare industry and healthcare x12 format (especially, 837, 834, 835 files) or eligibility or claims data a big plus
  • Ability to work independently with minimal supervision and collaboratively within a team
  • Work effectively with customers and internal staff in fast-paced environment and time-sensitive situations
  • Ability to work in a team environment across multiple functional groups
  • Ability to explain technical concepts to non-technical users
  • Flexibility to work effectively in a constantly changing environment
  • Strong analytical, root cause analysis skills
  • Eagerness to expand technical skill set
130

Data Operations Analyst Resume Examples & Samples

  • Serves as a resource to assigned client in area of expertise
  • Gathers and compiles raw data; conducts research for industry trends and benchmarks; and normalizes data to be incorporated into a centralized data format
  • Analyzes, reports, makes comparisons to industry/company benchmarks, determines trends, and prepares cost analyses
  • Defines data definitions and documents data limitations
  • Prepares spreadsheets for data analysis; prepare reports with charts and graphs, mailing lists, maps and ad hoc requests. May make presentations
  • Provides recommendations based on findings and analysis. Provides input on policies and procedures
  • Participates in department and interdepartmental projects
  • Expertise in working with spreadsheets, databases, strong understanding of financial concepts and data
  • Expertise with the assimilation of large volumes of raw data, understand, analyze, and present the various elements of complex sales and financial reports to senior management
  • Knowledge of assigned industry
  • Typically requires BS/BA in a related discipline
  • Generally 2-5 years of experience in a related field; certification is required in some areas
131

Senior Data Operations Analyst Resume Examples & Samples

  • 4+ years of experience as an analyst, in information systems, product development, healthcare operations, or financial services
  • 4+ years of experience with business to business interaction, file-mapping/ETL or other implementations, process improvement, or other data operations
  • Highly adaptable, with ability to rapidly assimilate new information, translating into team and project implications
  • Strong PC skills including MS PowerPoint, Word, Visio, Access and Excel
  • MS SQL Proficiency
  • Be a strong team leader, well organized and able to handle multiple assignments and responsibilities simultaneously
132

Data Operations Team Director Resume Examples & Samples

  • Playing a lead role for various data projects/initiatives supporting the client centricity effort
  • Gathering and documenting requirements
  • Coordinating project execution and scheduling
  • Understanding business functions and establishing logic quality criteria
  • Performing data validation and field management coordination
  • 3 to 5 year experience in a major financial services organization, or consulting practices with large-scale data or project management experience
  • Ability to manage and maintain relationships across various functions
  • Experience gathering requirements and write BRDs and functional specs
  • Ability to write efficient SQL query to run against large databases
133

Manager, Provider Data Operations Resume Examples & Samples

  • May oversee work activities of other supervisors
  • 3+ years of data analysis and / or audit experience including inventory control and capacity planning
  • 3+ year of supervisory experience
  • 3+years of experience in tracking, trending and reporting on metrics
  • 3+ years of experience in MS Excel, Access and PowerPoint
  • Experience in managing cross functional projects and making presentations
  • Customer response / customer service experience
134

Data Operations Analyst Resume Examples & Samples

  • Support our team by cataloging and documenting all of The Orchard’s data
  • Communicate daily the status of our feeds to Stakeholders around the business
  • Build dashboards and reports to effectively monitor data on a real time basis
  • Work with Strategy and Business Development to identify new data source and integrate those into our systems
  • Learn the ins and outs of our business
  • Strong interpersonal skills with an ability to communicate with and contribute to cross-functional, distributed teams
  • Experience analyzing, transforming, moving or manipulating large data sets across multiple data sources
  • Ability to understand data and summarize business implications from analysis
  • 1+ years experience in SQL (mySQL, RedShift, Snowflake)
  • 1+ years using a BI tool such as Looker or Tableau
  • You care deeply about the quality of your data and the integrity of your work
  • Desire to learn new technical skills and practice continuous personal development
  • Highly Proficient in Excel and PowerPoint
135

Data Operations Analyst Resume Examples & Samples

  • Support the Data Strategy and align it with continuously changing business landscape
  • Work on all the data types across the enterprise focusing on Customer, Dealer, and Service
  • Continuously increase data coverage by working closely with the Data Scientists, understanding and evaluating their data requirements and delivering the data they need
  • Support the data requirements of the different functional teams like Marketing Sales & Service, Quality, etc. and all the regional KPI / Metrics initiatives
  • Support implementation of an enterprise Data Governance model and actively promote the concept of data sharing, data reuse, data quality and data standards
  • Support Master Data Management (MDM) strategy including implementing the governance model for Master Data
  • Drive data profiling and data exploration for basic understanding and profiling of the data
  • 2+ years’ of experience with databases
  • Ability to work in different database technologies including Big Data / Hadoop (HDFS, MapReduce, Hive, Shark, Spark, SAP, etc.), RDBMS and NoSQL
136

Senior Data Operations Engineer Resume Examples & Samples

  • Support Global Big Data operations in 15 countries across Europe, Latin America and Asia
  • Be a technical interface across business unit disciplines, product, platform & operations
  • Be a champion of operational best practices, such as automation and production maturity
  • Define processes and support structures for our internal teams
  • Experience administering complex technical infrastructure
  • Experience with virtualized environments & cloud infrastructure, particularly AWS
  • Experience administering relational databases, such as PostgreSQL and Oracle
  • Experience with tools such as JIRA, Jenkins, Git, etc
  • Working with a UNIX / Linux based toolset
  • Critical thinking, positive mindset
  • Able to wear many hats
137

Director, Data Operations Resume Examples & Samples

  • Define, execute and refine the Data Operation strategy for the company addressing technical and operational challenges in a globally expanding solution
  • Design and execute optimal technical solutions to address data analytics, data workflow and tooling needs to achieve greater levels of intelligence based on our growing data assets
  • Design and execute optimal processes and strategies to enable global expansion of our data coverage with operational efficiency, with the correct mix of high and low tech solutions to problems
  • Design and develop tools to process large data sets with statistical algorithms, machine learning and data mining methodologies
  • Lead our strong team of multi-disciplinary geographically distributed developers, data ops and field staff in a fast-paced environment, working side by side and energizing as a whole
138

AVP Technical Data Operations Resume Examples & Samples

  • Provision of data and analytics to support all facets of asset placement and fleet management
  • Utilises tools and processes to provide costings and data to support the customer facing deal teams
  • Coordinates technical inputs to support the Risk, Pricing, Structured Finance and Finance functions
  • Utilize the Maintenance Event Planning system to model cash flow analysis of alternative maintenance scenarios and outcomes
  • Provision of maintenance cash flows as input to the economic valuations and Finance impairments process
  • Collaborate with Technical Deal Teams in the generation of Cost to Market and provision of maintenance cash flows
  • Perform Technical expenditure cash flow evaluation of aircraft to support purchase and sale transactions
  • Provide Fleet costs and budgets for total GECAS fleet
  • Interfaces with Operations department to ensure all funds are set-up, escalated and reconciled in a consistent and transparent manner
  • Support GECAS Technical functions in the development of internal data sources, analytics and system improvements
  • Professional qualification with quantitative analysis capability such as Finance, Maths or Engineering with some years of experience or equivalent
  • Data analysis capability with understanding of IT systems and relational data
  • Strong Computer skills with proficiency in general business applications such as Microsoft Office applications with a high proficiency in Microsoft Excel
  • You must apply via COS (internal) or www.gecareers.com (external) to be considered for this position
  • Applicant must have authorization to work in the EU
  • Must be willing to comply with pre-employment screening, including but not limited to reference
  • Verification and background check
  • Strong teaming skills with the ability to build and analyse data. Prior aircraft technical knowledge would be a benefit but not essential
  • Proven ability to achieve goals while working under tight time constrains while maintaining technical standards and integrity
  • Ability to develop strong working relationships
  • Ability to interface with all functions within GECAS
  • Enterprise Data Knowledge / Awareness
139

Senior Data Operations Engineer Sp Resume Examples & Samples

  • Be responsible for world-class operational efficiency across our data processing and consumption environments
  • Be able to provide a hands-on support across various production environments
  • You will have 5+ years of professional experience in a technical operations role and 2 years in a support role
  • Experience defining and evolving support processes
  • Experience managing data security
  • Have a good understanding of networking concepts
  • Infrastructure and capacity planning
  • Proactive, autonomous, fast learner, team worker
140

Data Operations Analyst Resume Examples & Samples

  • 2 years experience with data analysis
  • Strong analytical, debugging and problem solving skills
  • Strong organizational skills, ability to prioritize and complete multiple assignments successfully
  • Proven abilities to develop, document, and enhance data quality processes
  • Language skills a plus!
141

Leader, Data Operations Resume Examples & Samples

  • Bachelor's degree or equivalent combination of education and experience; MA/MS preferred
  • 8+ years directly related professional experience in field including leadership and management experience
  • Visionary thinking
  • Strategic orientation
  • Team leadership and alignment
  • Delegation skills – includes staff in planning, decision-making, facilitating and process improvement
  • Takes responsibility for subordinates’ activities
142

Associate Data Operations Analyst Resume Examples & Samples

  • Willing to learn MS SQL
  • Willing to learn C# and XML concepts
  • Excellent consultative, communication skills and report writing ability
  • An understanding of healthcare financial accounts (e.g. HSA, HRA, and FSA) is highly desirable
  • Be a strong team player, well organized and able to handle multiple assignments and responsibilities simultaneously
143

Data Operations Analyst Resume Examples & Samples

  • 2+ years of experience as an analyst in information systems, product development, healthcare operations, or financial services with experience in business to business interaction, file-mapping/ETL or other implementations, process improvement, or other data operations
  • Highly adaptable, with ability to rapidly assimilate new information, translating what has been learned into permanent solutions
  • Proficiency with MS SQL
  • Familiarity with C# and XML
  • Exposure to Agile development methods
144

Analyst Client Reference Data Operations Resume Examples & Samples

  • Prioritize and manage projects requests in conjunction with BAU requests
  • Conduct and record weekly team meetings and raise all best practices
  • Performance management , conduct appraisals , complete action plans for people development
  • Ensure BCP strategy is in place for the team
  • 8+ years of experience in financial services or related industries
  • 5 years in a supervisory role and managing people
  • Ability to manage global partners and requestors
  • Controls and innovation mindset
  • Good People Skills and ability to drive energy levels within the team
145

Senior Data Operations Analyst Resume Examples & Samples

  • Bachelor's degree or equivalent in Computer Science, Engineering or related field
  • 5 years related, progressive, post-baccalaureate experience, which must include 2 years of healthcare data warehousing experience. Will accept experience gained concurrently
  • Must have demonstrated experience with 1) Develop tools for automation in Data Loading; 2) Job development using SQL queries and PL/SQL programs in Oracle; 3) Unix (operating and scripting); 4) Job scheduling tool (Control M or DollarU); and 5) Workflow control tool (JIRA or Sharepoint) and Version Control Tool (Subversion)
146

Data Operations Manager Resume Examples & Samples

  • Ensure Trustworthy Data is readily available by overseeing the data operations for a specific system/data domain per data standards
  • Manage a stakeholder advisory board to advise on operations performance and alignment on strategies, issue remediation and advise on data management/system changes
  • Develop data management processes and procedures ensuring effective request processing, change control, data propagation, and quality audits; Ensure compliance to standards as well as compliance requirements (such as regulatory, quality, etc.) as a deputy of the System’s Owners
  • Oversee the execution and implementation of data management and operational governance by holding data suppliers & consumers accountable to standards and escalating as necessary to governing bodies
  • Oversee training material updates and communications to end-users
  • Provide training to support groups and oversee/authorize end-user access to create/update data, playing a key role in adoption of standards
  • Sign off on systems changes impacting data operations ensuring usability and data quality
  • Periodically conduct Voice of Customer and data quality audits and reports results to set targets to demonstrate data quality
  • Manage data quality issue remediation with content suppliers and consumers. Escalates as needed to Operational Governance Leaders and/or the Data Governance Office (DGO)
  • Expert in the Data standards applicable to their environment and facilitates the adoption of proper behaviours by those supplying and consuming data (Good Data Citizenship)
  • Trigger change requests as needed to remediate issues and improve standards effectiveness and the data design/standards for data they manage; and responds to assessments when requested by other impacting changes
  • Participate in data standards and systems development/deployment
  • Develop and deploy data quality rules to be part of the standards and applied during audits
  • Monitor overall data performance and drives continuous improvement for both streamlined operations and data quality
  • Create and maintains services enabling data quality control
  • Manage efforts for data remediation related to quality, systems or standards changes
  • Facilitates compliance to external data regulations including GMP, CFR Part 11, HIPAA, etc. and internal quality, regulatory and audit requirements
  • Oversee centrally managed reference and master data controlled by the MODS DGO. - Currently Study Master Data and related reference data in Roche's Master Data Management System (MDMS)
  • Oversee centrally managed standards metadata repository data controlled by the MODS DGO. The MODS Global Data Standards and related logical data models/Business Glossary content
147

Global Securities Reference Data Operations Analyst Resume Examples & Samples

  • Interacting with external Introducing Firms
  • Ensuring that request are properly being completed in a timely manner
  • Supporting the business in the remediation of client and or account defects and enhancements
  • Receiving and properly processing and coding client documentation such as tax and prime brokerage documents
  • Ensuring all desktop procedures and policies are accurate and enforced
  • Updating key metrics and statuses on exception resolution for accounts across multiple lines of businesses supported by Reference Data
  • Strong written and verbal communication skills with the ability to discern key issues and draw appropriate conclusions
  • Proven experience delivering results and meeting tight deadlines
  • Self-motivated with the ability to take instruction and work independently
  • Background or knowledge of system technology
148

Global Securities Reference Data Operations Analyst Resume Examples & Samples

  • New account creation and updates to existing accounts for Global Markets Institutional clients including; Equities, Fixed Income
  • Ensuring that request are properly being completed in a timely manner meeting the suggested SLA’s
  • Able to work flexible hours in order to support global clients and account on boarding processes in multiple regions
149

Director, Provider Data Operations Resume Examples & Samples

  • Responsible for timely processing of all credentialing and re-credentialing of all physicians and organizational providers according to Plan specifications
  • Analyze network adequacy to have appropriate provider coverage and to ensure compliance with CMS
  • Lead provider operations team and ensure accuracy and integrity of provider data and that such data is provided timely
  • Oversee audits of delegated provider entities for compliance with health plan policies and procedures and with regulatory and accreditation requirements
  • Participates with the delegation oversight team including appropriately qualified auditors across the enterprise to perform reviews of outstanding audit issues and corrective action plans
  • Represent UAM Credentialing Committees of various IPAs and facilitate such meetings
  • Build and maintain efficiency with the credentialing processes through automation and ongoing process improvement reviews
  • Manage department performance to ensure established credentialing and provider data quality benchmarks are met
  • Establish and maintain programs to validate and update provider data used for online and printed directories
  • Establish and maintain QA processes to ensure accurate provider data
  • Promptly communicate status and potential issus to market and regional leadership
  • Complies with all guidelines established by the Centers for Medicare and Medicaid (CMS) and guidelines set forth by other regulatory agencies, where applicable, and defined in the Universal American Corporate and department policies
  • And all other duties assigned by the manager and/or supervisor
  • Organizational skills with the ability to handle multiple tasks and/or projects at one time
  • Analytical and interpretation skills including departmental, utilization, financial and operations data
  • Creative thinking skills with the ability to ask the needed bigger-picture questions that lead to process and team improvements
  • Problem solving skills with the ability to look for root causes and implementable, workable solutions
  • Leadership skills with the ability to empower, engage, motivate, evaluate and manage team members individually and as a group
  • Education:Bachelor's dgree
  • Personal computer experience should include working with Microsoft Word, Excel, PowerPoint and Outlook at the intermediate level at a minimum
  • Minimum five years experience in managing health plans, IPAs, or other directly related managed care organizations
  • Minimum four years experience with provider relations or credentialing along with two years of project coordination is preferred
  • At least three years of leadership experience with demonstrated success in leading others to achieve desired results
  • Must have experience with developing and implementing improved workflow processes
  • Experience quantifying analyses and putting data to practical use
  • Experience with government and CMS regulations as it relates to Provider Credentialing
150

Data Operations Manager Resume Examples & Samples

  • Strong written and oral communication skills
  • Ability to work independently and to work efficiently under pressure
  • Consistent, dedicated, versatile and able to prioritize and multi-task
  • Self-motivated and able to work independently using strong organizational, project and time management skills
  • EDC experience required
  • Demonstrated expertise in relevant clinical data management activities
  • Familiarity with all phases of clinical trials and ability to adapt to study requirements
  • Knowledge of clinical research, FDA & ICH, GCP, GCDMP, and related regulatory requirements
  • Proficient with MS Office software
  • Experience with managing immunology, infectious disease and/or virology research projects
  • Experience in HIV or infectious diseases clinical trial operation management and/or protocol development
151

Associate Director Production Data Operations Resume Examples & Samples

  • 5 or more years of experience Managing and Mentoring direct reports
  • Experience communicating technical details in clear and understandable business language
  • Experience working with less structure and with more complex issues
152

Team Member Client Reference Data Operations Resume Examples & Samples

  • To maintain Client data within the Client Central repository by onboarding new Clients, updating amendments, hierarchy changes, static data updates, mergers and deactivations within specified timelines
  • To ensure requests actioned are only received from authorized sources and is clearly understood prior any action
  • To ensure that all static / reference data is accurately maintained on the system post performing quality checks
  • Ensure the procedural guidelines are followed & supporting documentation validated prior to action
  • Proactively resolve open issues and escalations, keeping management in the loop
  • Liaising and partnering with requestors / business partners as required
  • Data analysis / research and remediation function as per requirements
  • Maintain MIS report as required
  • Maintain accurate volumes / productivity
  • 0 -2 years experience in financial services or related industries
  • Fluency in both written and spoken English
  • Good computer skills (knowledge in use of Macros / advanced Excel a plus.)
  • Basic Knowledge or work experience in financial industry
  • Good Communication Skills (Verbal and Written)
  • Good Analytical Skills
  • Should be able to deliver as a part of the team
153

Director of Data Operations, Enterprise Data Resume Examples & Samples

  • Build our Data Operations team by bringing together subject matter experts across the organization in data analysis, business process management, and quality assurance
  • Provide business and functional support of new Enterprise Data & Analytics platforms and machine learning capabilities
  • Own living documents in partnership with Information Architecture of Customer, Product and Consumer journeys in support of strategic initiatives
  • Drive operational excellence for information management with business and technology partners by identifying simplification opportunities of data flows and systems
  • Collaborate with Enterprise Data leadership to operationalize central data strategies and frameworks
  • Monitor operational controls to ensure integrity through the value chain
  • Enable effective, efficient working relationship with business and technology partners – primary liaison to Tech Ops and other operational partners
  • Engage and communicate Enterprise Data Operations across the Data Stewardship community as well in partnership with the Enterprise Data and Analytics councils
  • A Bachelor's degree in Business, Finance, Accounting, Information Technology or related field. MBA preferred
  • 7-10 years’ experience leading and managing operations or programs focused on business processes or Data & Analytics; should include comprehensive experience as a business/process lead or as a lead in a functional role
  • Demonstrated success in cross-functional integration/relationships and operational execution
  • Expert level operations management skills. Lean process design experience preferred
  • Proven track record of being results orientated with demonstrated ability to achieve aggressive goals
  • Proven presentation and facilitation skills
  • Must excel working in team-oriented roles that rely on ability to collaborate with others
  • Self-directed and comfortable working in ambiguous environments
  • Experience working in a highly matrixed organization
  • Demonstration of strong influencing skills
154

Technical Lead-data Operations Resume Examples & Samples

  • Technology Lead is expected to manage the team which supports Mortgage Business or Data Operations process
  • Have good experience in building strong relationship with the business partners and other application partners like Data Warehousing, Finance & Accounting, Infrastructure Management, Change Management, Incident Management, etc
  • Exposure to J2EE & .NET technologies is a must as a developer or an administrator performing this lead role for Mortgage Technology
  • Should have very good experience in database Technology (SBO 2000, Vision, ETL, SQL Server Reporting Services Oracle, SQL Server, DB2, etc.)
  • This lead should have experience in managing 24/7 support functions and teams working in an Onshore / Offshore model
  • Experience in managing mission critical or high revenue generating financial applications
  • Experience in preparing weekly reports, presentation highlighting daily, weekly and monthly operations progress to CxO and other leaders in the organization
  • Chair meetings and deliver expected results out of this meetings
  • Flexibility to stretch extended work hours to meet business & technology leadership expectations
  • Proactive and analytical thinker who can optimize or enhance the current process model to introduce more efficiencies
  • Exposure to practice of application scans, tracking vulnerabilities, security issues and reporting the updates with appropriate risks highlighted
  • Strong vendor management and negotiating skills that focuses on saving time, cost and introducing process efficiencies
  • Allocate and directs resources to accomplish project tasks, and maintains control project schedule(s) and deliverable quality
  • Responsible for resolving issues and mitigating risks, escalating issues/risks when appropriate
  • Manages project teams, which may include Ally employee and/or vendor team members, informs the team of its progress; leads/develops Ally staff members
  • Experience in development of new tools for supporting Mortgage Technology requirements
  • Works independently and will likely supervise the work of lower level personnel
  • Ability to manage IT projects that are high in complexity, size, and scope
  • Expert knowledge of Product Support or ITIL Guidelines for Service Management methodologies and tools
  • Ability to thoroughly understand the business issues surrounding each Mortgage Application
  • Ability to utilize extensive trouble shooting skills for addressing Production issue and to act as primary liaison who will be the primary interface between IT, Business, Vendors and other partner teams
  • Ability to lead onshore and offshore team
  • Ability to determine applications readiness to be moved to Production environment after meeting all the required certification and approval criteria
  • Ability to work with complex problems in an ambiguous environment
  • BS and 8 + years or equivalent
  • Experience managing financial applications from both Technology & Business aspects to meet Mortgage Application needs
  • 5+ years' experience performing data analysis, data mapping, possess excellent team player skills
155

Analyst, Workday Data Operations Resume Examples & Samples

  • Responsible for daily tracking of the Global Data Integration (GDI) that sends data from the SAP HR system and other local HR systems to Workday
  • A sense of urgency in solving customer requests to ensure timely resolution and an ability to work under pressure, multi-task, and meet deadlines
  • Knowledge of standard business practices and professionalism in a customer service environment are essential.1700170987W
156

VP Client Reference Data Operations Resume Examples & Samples

  • To ensure that BAU is processed as per SLAs and no TAT missed
  • Ensure that the team has effective Quality Check process in place
  • Should display an appreciation of control, quality and risk related issues. Ensure existent controls are followed by team
  • Interact with the team on daily basis, conduct monthly one-on-one meetings with each member
  • Assist in projects on data interfaces between systems such as defining project scope, data requirements and sources/resources
  • Ensure that the Daily Checklist is signed off by the team including TL’s
  • Participate in special projects revolving around data cleanups, process improvement analysis and reporting. To plan & estimate efforts during analysis & requirements gathering phase
  • Convert business problem statements into cost effective, scalable, reliable & user friendly solutions
  • 14 + years of experience in financial services or related industries
  • 8 years in a supervisory role and managing people
  • Good Analytical and Problem Solving Skills
157

Manager, Data Operations Resume Examples & Samples

  • Manage the daily operations, activities, and resources for Data Intelligence applications for the studio, ensuring timely and consistent service delivery, including application response times, availability and integrations. Manage the implementation of system projects and changes as directed. Ensure that applications are meeting the operational and security requirements of the business and agreed to SLAs. Ensure that proper application health and performance monitoring is implemented and effectively managed
  • Work with clients to review operational performance and determine appropriate support levels, responses and opportunities to streamline processes. Ensures that client feedback is appropriately managed and acted upon by the support/operations team. Advises management regarding client requirements and operational alignment to client business and priorities
  • Ensure that documentation is updated and accessible across all of Data Intelligence Theatrical Applications. Conduct periodic documentation audits and report status on documentation coverage and completion
158

CDI Data Operations Engineer Resume Examples & Samples

  • Integrate Business Intelligence Tools (SiSense/Tableau) with data warehouse solutions
  • Create and Improve global dashboards for leadership, operational teams, and customers
  • Run Ad Hoc financial and operational reports
  • Partner with internal teams and provide analysis and reporting to improve processes and the customer experience
  • Contribute to a team which works independently with direction from the Senior Team Members or management
  • Complete assigned tasks on time and with high quality. Take independent responsibility for assigned deliverables
  • Make transitions to the new and different. Adapt to new environments and changing requirements. Pivot quickly as needed. When coached, respond to need & seek info from other sources
  • Few travel would be required for this position
  • Position can sometimes require off-hours flexibility/ability to work across global time zones
  • Bachelor’s Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math)
  • Advance proficiency with MS Excel
  • Familiar with Business Intelligence Tools (SiSense, Tableau)
  • Experience with data warehousing
  • Understanding of End User Services and operational metrics such as SLA, SLO, RAL1, etc
  • Ability to proactively manage business partner relationships, work with stakeholders to define solutions and deliver on commitments
  • Ability to break down problems and estimate time for development tasks
  • Proactively communicates status updates, challenges, and potential barriers to success with recommendations on solutions
  • Ability to define and communicate complex issues clearly across all levels of the organization
  • Comfortable with ambiguity and able to take action despite incomplete information
  • Able to tactfully raise issues and voice concerns
  • Learn organization vision statement and decision making framework. Able to understand how team and personal goals/objectives contribute to the organization vision
159

Director of Data & Operations Resume Examples & Samples

  • Strong attention to detail, writing skills, and analytical skills
  • Maintain a high level of confidentiality and discretion
  • Highly developed organizational and problem solving skills to successfully manage a large volume of diverse tasks/projects
  • Ability to successfully manage multiple colleagues to coordinate large initiatives or efforts
  • Ability to remain calm and professional when faced with a challenging/sensitive situation and respond with tact and diplomacy
  • Ability to work closely with faculty members, including faculty committees
  • Capacity to build and maintain relationships with alumni, employers, and leaders in legal professional development
  • Demonstrated good judgment, patience, empathy, and ability to relate to students and graduates from diverse backgrounds in advising them about career paths, negotiating employment, and thriving in employment
  • Must be able to work independently while exercising good judgment and decision making
160

Market Data Operations Resume Examples & Samples

  • Analysis of cross asset market data
  • Monitoring both cash and derivatives data and maintaining controls related to the accuracy and timely management of market data using in-house analytical tools
  • Monitoring of market data alerting systems
  • Performing real-time market curve analysis
  • Troubleshooting market data integrity
  • Monitoring global financial news
  • Communication with internal support and operational teams
161

Data Operations Team Manager Resume Examples & Samples

  • Manage the sub-team of 8-12 people within Data and Documents Refresh function - support the delivery of the regulatory function for review of KYC (know your customer) documentation
  • Organize team daily tasks and responsibilities
  • Set team goals and encourage efficiencies through changes to work processes
  • Cover all aspects of people management including recruitment, training, performance management in line with Global Operations standards
  • Manage the core stakeholder relationships with Global Financial Crimes and Business Units to ensure commitment and delivery of the assigned targets
  • Perform process analysis , provide inputs for change initiatives and supervise the delivery of process improvement projects
  • Data analysis and reporting in relation to process volumes, risk and quality
  • Collect and check client documentation for KYC (Know Your Customer) process and ongoing client documentation refresh
  • Follow up on issues with functional stakeholders
  • 6-8 years of banking experience, knowledge of AML (anti money laundering) standards is an advantage
  • Excellent command of the English language, both speaking and writing
  • Ability to adapt communication to audience requirements to optimize understanding
  • Ability to skillfully identify problems, build solutions and apply lessons learned to parallel situations
  • Need to proactively ensure existence of mitigating controls and take personal responsibility for enhancing processes
  • Has confidence to make tough decisions without 100% certainty - forms own independent assessment and fairly considers other's opinions
  • Be available to answer questions and queries from local and remote team members and users in a timely fashion
  • Ability to manage multiple work streams and prioritize effectively
  • Behave in an honest and ethical manner in accordance with the Code of
  • Conduct and the Employee Handbook
  • Understand and adhere to the organization's values
  • Be a team player
  • Be accurate and pay attention to details
  • Escalate issues and risks to the functional manager in a timely fashion
  • Be able to deal easily with multiple issues and tasks under pressure
  • Build effective network of contacts
162

IT Data Engineer, Data Operations Resume Examples & Samples

  • Understanding of Business Intelligence and Data Warehouse concepts
  • Experience with writing complex SQL
  • One or more Data Extraction Tools (SSIS, SAP BW, Informatica etc.)
  • Experience with Test, Release and Deployments Automation with data warehouse solutions
  • Software development
163

Data Operations Manager, Business Integrity Resume Examples & Samples

  • Manage a global team of analytics employees
  • Lead teams that develop compelling analyses to execute data-informed initiatives that help clean up our Facebook ecosystem, protect users and business and drive great service
  • Apply expertise in problem solving and metrics-oriented thinking to see beyond the numbers and pull insights to help identify trends & opportunities to drive growth of our product & business
  • Lead the team by being a strong voice for them and aligning closely with cross-functional partners, driving towards the same business and company goals
  • Ability to drive the team to impact and communicate effectively
  • 7+ years experience doing quantitative analysis, operational analyses or general leadership in a risk, tech, analytics, operations field
  • 3+ years people management experience
  • Experience in leading teams that develop data pipeline architecture, organizational metrics, insights into problems and sharing levers
  • Ability to communicate, with problem-solving ability
  • Experience working with or in support of diverse communities preferred
164

Manager of Systems & Data Operations Resume Examples & Samples

  • Manage all batch processing and electronic communications including ISIR data, electronic federal aid payments, tracking, financial aid packaging and student correspondence, exception reporting, and student loan processing
  • Support the SFS leveraging strategies in conjunction with Enrollment Management
  • Provide and generate data for various industry surveys (College Board, IPEDS, Peterson's.etc)
  • Develop and prepare trend data for financial aid strategic econometric modeling
  • Manage and develop ARGOS reporting
  • Oversee and review upgrades to ERP systems (Banner, ARGOS, BDM)
  • Complie and reconcile fiscal reports (FISAP)
  • Bachelor's degree required, Master's preferred
  • Minimum of 3-5 years of relevant experience required
  • Must have proficient knowledge of Microsoft Office Suite
  • Experience using Banner preferred
165

Market Data Operations Analyst Resume Examples & Samples

  • Responsible for the onboarding and licensing of NYSE market data display device products, execute relevant contracts and agreements
  • Manage monthly business processes including month end billing, vendor reporting, and termination of services
  • Manage vendor and customer relationships, including large amounts of incoming customer inquiries
  • Analyze inventory fluctuations and follow up on any delinquent issues with customers in a timely manner
  • Participate in project management including developing project scopes, objectives and coordinating internal resources
  • Work with the developers to articulate system enhancements and rectifying system glitches
  • Work with the finance department to resolve billing issues
  • Work with the account management and compliance teams to address any issues with customers either through daily operational actions or post audit reviews
  • 3 - 5 years of work experience in a customer service role, preferably in the market data or finance industry, or experience working with a broker/dealer or an exchange
  • Must be a team player and be able to interact with all levels of internal staff and external customer organizations
  • Strong written and verbal communication skills, including customer phone handling skills, active listening, and conflict resolution
  • Solid organizational and multi-tasking skills, must pay attention to detail
  • Strong working knowledge of Microsoft Office including Excel
  • Must be able to take initiative and ownership, and make independent decisions which are reasonable and within department guidelines
  • Solid project management background
166

Master Data Operations Manager Resume Examples & Samples

  • Experience managing Master Data, Customer Service Operations, or related field
  • 3-5 years of experience direct management experience
  • Proven success in driving operational metrics and directing a team to achieve organizational goals
  • Proven success in process improvement initiatives
  • MSOffice PowerPoint, Excel, Word, Intermediate Level
  • Relationship building experience
  • SAP would be preferred
  • Self motivated and results oriented
  • Proven ability to mentor and motivate a team of business professionals
  • Stakeholder relationship management skills
167

Lead, Global Data Operations Resume Examples & Samples

  • Supervise the team’s timely case handling of high volume time-sensitive mass upload (EIB) requests from Global Services (GS) HR Admin Center and Local HR Services in Workday HCM system. Responsibilities include checking requests for compliance with policy, validating mass upload templates, processing mass uploads in Workday, analyzing and resolving EIB errors, performing quality control process and providing results of the mass upload back to the requestor
  • Supervise case handling of data correction requests, maintenance of organizational structures and cost center hierarchy structure, HR Business partner role assignments. Supervise the centralized Recognition Award admin process
  • Drive the team to ensure efficient case management with focus on high-volume handling, data accuracy, compliance and standardization, covering the different time zones of the supported regions
  • Partner with Regional Workday Operations team to help troubleshoot data and business process flow errors. Replicate data issues in test environment and analyze results
  • Partner with Global Workday Operations team to support the daily tracking and data error handling of the Taleo Recruitment integrations
  • Drive the global Data Integrity Auditing process to ensure good quality data. Assist with root-cause analysis, detect patterns and develop risk mitigation action plans
  • Advance own and team’s subject matter expertise on Workday HCM business processes and complex data maintenance, including data corrections, rescinds and EIBs
  • Provide guidance to GS HR Admin Center and Local HR Services on mass upload process questions and template completion
  • Partner with Regional Workday Operations to anticipate on upcoming events in specific countries and proactively plan to manage peak volumes
  • As required, support global teams with testing and compliance audit
  • Provide leadership in support of organizational direction and enable a Credo-based culture within the team. Effectively manage employee performance using established company tools/methodology. Assure that company policies and practices are followed, and set an example for team members
  • Develop, coach, and mentor staff to build a high-performance team. Set goals and facilitate growth and development to meet individualized employee career goals, motivational needs, and organizational opportunities
  • Drive a culture of continuous improvement, where team members can identify areas for improvement on daily operational processes to drive data accuracy and global compliance and provide support to implement these initiatives by highlighting and discussing key changes/improvement programs with leadership and the appropriate stakeholders
  • Communicate and interact effectively and develop credibility and trusted mutually respected relationships with customers, stakeholders, leadership and team members
  • Drive team engagement and adherence to a global culture identified for Global Services HR and establish a set of values to promote achievement and continuous improvement in conjunction with the overall Global Services organization
  • Proven success in managing an operational team handling high case volume
  • Experience working with a Human Capital Management system is required. Experience working with Workday HCM system is an asset
  • Ability to discern critical requests and strong sense of urgency in driving those to resolution. Ability to work under pressure, multi-task, and meet deadlines
  • Strong leadership skills to establish, manage and empower a global virtual team
  • Effective partnership and relationship building skills with key stakeholders
  • Demonstrate ability to handle ambiguity and fluid situations, demonstrating a pragmatic approach.1700178967W