Data Analyst Lead Resume Samples

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ID
I DuBuque
Isadore
DuBuque
647 Corkery Station
Boston
MA
+1 (555) 627 5677
647 Corkery Station
Boston
MA
Phone
p +1 (555) 627 5677
Experience Experience
New York, NY
Data Analyst Lead
New York, NY
Hane-Hartmann
New York, NY
Data Analyst Lead
  • Assist in providing tools and training to Oncology and Cardiology sites as it relates to data capture and reporting
  • Develop source-to-target mapping (STM) documents by analyzing data content and physical data structures in the legacy and downstream applications
  • Assist Billing with producing visit capture details and reports related to study data
  • Focus on analyzing preliminary Enterprise Data Warehouse Data and do Data Profiling
  • Monitor database integrity, investigate inconsistencies, and make recommendations regarding best method to rectify data inconsistencies
  • Process updates into various systems that support the billing process for GCOO
  • Manage and respond to queries received from internal clients on service catalogue, financials or reporting
Philadelphia, PA
Ref Data Mgmt Lead Analyst
Philadelphia, PA
Parisian, Herzog and Feeney
Philadelphia, PA
Ref Data Mgmt Lead Analyst
  • Develop BRDs, project plans, test plans to manage project delivery with technology resource end to end
  • Can make decision quickly
  • Within the onboarding team work in Agile project methodology
  • Perform gap analysis on legacy vs strategic systems to build functionality to ease migration path. (Prime Services, KYC/AML)
  • Liaise with clients outside of ISG group to promote documentation/onboarding solution and bring them onto platforms
  • Planning and organising
  • Understand and document information flows and processes surrounding documentation in all groups touched
present
Boston, MA
Data Analyst Team Lead-leduc, AB
Boston, MA
Smith, Haley and Klocko
present
Boston, MA
Data Analyst Team Lead-leduc, AB
present
  • Provide updates on the status of all tethered ILI projects to clients and management
  • Performance management of analysts and support personnel on the team
  • Report directly to North American Data Analysis Manager
  • Responsible for pipeline inspection data analysis report deliveries according to contractual obligations specific to tethered ILI technologies
  • Foster strong client relationships
  • Key point of contact for all tethered ILI clients
  • Technical support for sales and operations
Education Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
New York University
Bachelor’s Degree in Computer Science
Skills Skills
  • Excellent analytical skills, attention to detail / data quality, ability to convert “data” to actionable management information
  • Ability to effectively manage multiple tasks with strong attention to detail
  • Strong self-motivation and adaptability, able to work autonomously
  • Excellent interpersonal, communication and influencing skills with a proven ability to bridge knowledge-gaps
  • Adaptable to business change and a fast paced environment with a strong growth agenda
  • Should have progressing skills in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design
  • Impeccable attention to detail
  • Be able to work as part of a team but be able to work on your own and make decisions
  • Flexible work arrangements, casual dress, and great corporate culture
  • Proactive approach and able to show initiative/ideas
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15 Data Analyst Lead resume templates

1

Ref Data Mgmt Lead Analyst Resume Examples & Samples

  • Reference data knowledge required
  • Ability to perform reviews or processes and identify issues/ gaps
  • Ability to manage control practices demonstrating a risk-based
  • Strong influence/negotiation skills
  • A business related degree would be advantageous, however less relevant than extensive ‘in situ’ experience
2

Ref Data Mgmt Lead Analyst Resume Examples & Samples

  • A Senior BA/PM in the Accounts area of ISG will build process flows inside and outside ISG
  • Understanding of documentation types and uses in various business lines (EQ, Prime Services, Fixed Income, Account Opening, KYC)
  • Liaise with clients outside of ISG group to promote documentation/onboarding solution and bring them onto platforms
  • Understand and document information flows and processes surrounding documentation in all groups touched
  • Develop BRDs, project plans, test plans to manage project delivery with technology resource end to end
  • Within the onboarding team work in Agile project methodology
  • Perform gap analysis on legacy vs strategic systems to build functionality to ease migration path. (Prime Services, KYC/AML)
  • Migrate documentation from various repositories around the firm into central solution
  • Ensure data standards and meta tagging requirements are met on documentation migrating to repository
  • Lead discussions and analysis of current process flows that sit outside of onboarding that affect the onboarding end to end delivery and seek to centralise these interactions on the platform
  • Extensive years experience as an analyst within investment banking environment, minimum 3 years relevant experience in total
  • Writing of documentation BRDs, Testing Project Plans
  • Experience working in Agile project environments
  • Demonstrated ability to work under pressure in demanding environment
  • Documentation knowledge: Regulation, Operational, Trading, Account opening
  • Experience of technology project management, Data modelling and workflow mapping
  • Experience of Data/ Document Migrations, Search technologies, front end UI design and user experience
  • Produce requirements documentation in both written and diagrammatic form
  • Strong Process and Data flow modelling required
  • Strong MS office skills, key packages MS Word, PowerPoint and Excel
  • Technical knowledge preferred in enterprise system architecture
  • Data analysis and Excel modelling skills
  • Business knowledge of documentation type and purpose
  • Dealing with external clients to ISG group and represent strategic roadmap
  • University degree and full educational background
  • Professional Business Analysis or Project management skills preferred (PMP, Prince2 etc)
3

Consumable Data Analyst Lead Resume Examples & Samples

  • Collect and analyze complex data for reporting and/or performance (trend) analysis
  • Prepare reports and provide data and management information for internal and external audiences
  • Participate in high level business initiatives and assist with all levels of metric reporting
  • May review and/or change established policies, maintain issues log and manage report delivery
  • Understand all Consumables components of the monthly internal billing data
  • Analyze financial opportunities and results from Consumable Efficiency Program activities
  • Understand evaluate, and advise on the financial plan/results for end user technologies
  • Produce clear on-going reports to communicate program financials
  • The analyst may also lead specific initiatives, creating and executing on a plan to realize the identified opportunities
  • College degree, specialized training, or equivalent work experience
  • Minimum 5 years working with End-User Technology Services Management or other relevant business experience
  • Very strong analytical and problem solving skills
  • Minimum 5 years experience in technology financial management
  • Advanced experience with MS Excel; at least intermediate in PowerPoint
  • Optional but useful: Database creation and analytics (such as MS Access)
  • Experience with ClickView is desirable
4

Data Analyst Lead Resume Examples & Samples

  • Production of management reporting on service catalogue and Total cost of ownership financials for GCOO)
  • Analysis of reports to identify key trends, variences or data issues
  • Presentation of report results to SERVICE PORTFOLIO MGMT stakeholders and internal clients
  • Gathering of information from various sources to ensure Service Catalogue is kept up to date
  • Support the coordination and analysis required for the annual service pricing activities across GCOO
  • Perform control checks on the service catalogue and reporting process to ensure accurate data
  • Process updates into various systems that support the billing process for GCOO
  • Manage and respond to queries received from internal clients on service catalogue, financials or reporting
  • BA/BSc degree or Master degree (preferably in a quantitative discipline) or relevant working experience (up to 3 years)
  • Excellent analytical skills, attention to detail / data quality, ability to convert “data” to actionable management information
  • Very proficient in the use of MS Excel, PowerPoint, Access and SharePoint
  • Ability to effectively manage multiple tasks with strong attention to detail
  • Strong understanding of financal concepts and accounting principles
  • A comfort with technical skills and exposure to new systems
  • The Individual must be self-starting, possess excellent verbal & written communication skills and be customer oriented
  • Excellent listening skills are essential
  • The candidate must be highly committed: reliable, and responsive
  • SQL , VBA or similar data preparation
  • Tableau report development
5

Data Analyst Lead-data Profiling Resume Examples & Samples

  • Self educate on existing clients data profiling reports/assets
  • Maintain & support existing data profiling reports/assets
  • Collect business requirements, complete functional & technical specifications, design, develop, and deploy new data profiling reports
  • Offer suggestions for additional ways & areas to leverage the data profiling capability. Includes reviewing the design and implementation strategy standards
  • Develop & document ETL strategy using SAP BODS
  • Support projects requiring leveraging the value from SAP Data Services and Information Steward
  • Develop & deploy education to client's IS professionals at the direction of Data Team Lead
  • Follow client's Global Information Services (GIS) standards
  • Personal Computer compatible with client's network & meet client's security / virus protection
6

Lead Data Attribute Analyst Resume Examples & Samples

  • Attribute development, auditing, documentation. Attribute and model governance
  • Coordinates QA tasks of project deliverables
  • Generates reports following quality control procedures to document analysis and findings
  • Manages data and project document repository ensuring versioning and storage
  • Assists in presentations, summarizing meetings and creating related documentation
  • Bachelor of Science or similar degree in Computer Science, Information Management, Economics, Statistics or another related field
  • 5+ years of experience in attribute and model governance
  • Proficient in desktop applications such as Word, PowerPoint. Advanced Excel skills
  • Be extremely detail oriented and inquisitive
  • Knowledge of Unix, SQL, or SAS programming
  • Experience developing, auditing, and documenting attributes within a credit domain
7

Data Analyst Lead Resume Examples & Samples

  • Focus on analyzing preliminary Enterprise Data Warehouse Data and do Data Profiling
  • Monitor database integrity, investigate inconsistencies, and make recommendations regarding best method to rectify data inconsistencies
  • Focus on resolving data quality and integration challenges Strong communication skills and the ability to gather business requirements
  • Support Implementation Project * Work with Technical Lead and System Owner to analyze data in the application
  • Determine data migration complexity, to identify information gaps against new requirements or conflicts across multiple applications
  • Develop source-to-target mapping (STM) documents by analyzing data content and physical data structures in the legacy and downstream applications
  • Identify methods to implement data quality monitoring based on rules specified by business data stewards as part of the implementation
  • Should be able to work independently and responsible for getting all clarifications from various stake holders (Business, Architects, Project Managers & Leads) to produce the deliverables
  • P&C Insurance – Particularly into Home & Auto Underwriting Processes and Data Elements
  • Should have independently produced and owned mappings documents for data transfer in EDW environment
  • Well versed with complex SQL, preferably on Teradata or ANSI SQL will also do
  • Exposure of Third Party Service Providers like LexisNexis (Choice Point), ISO Home Value etc is useful and preferred
  • Any Data Profiling Tool (Ex: Data Flux, Informatica Data Explorer, Data Quality) and Advanced Teradata SQL
  • Data Warehousing and MDM knowledge would be PLUS JOB DESCRIPTION
  • A minimum of 10 years of progressively responsible experience in business operations, data analysis and operational data; knowledge of insurance industry. (At least 5 yrs into P & C Insurance on the personal lines underwriting processes)
  • Min 3+ years of experience in Teradata SQL
  • Should have exposure any data quality tool preferably with Data Flux
  • Strong technical competencies in SQL, database architecture/development and data marts
  • Significant technical competencies in the use of business reporting and database management tools required
  • Exceptional analytical and problem solving abilities. Ability to work independently and multi-task with a strong attention to detail
  • Ability to prepare and present appropriate management reports
  • Ability to communicate effectively with internal and external business partners
  • Proficient in Microsoft Office applications (Word, Excel, Access, PowerPoint, MS Project)
8

Lead Data Networks Analyst Resume Examples & Samples

  • LAN Networking – CCNP in Cisco Data Centre with demonstrable knowledge
  • Dell, HP, Nortel switching experience
  • WAN and Routing – demonstrable knowledge of routing protocols VPLS, BGP, Multi area OSPF,GRE tunnelling, IPSLA, PBR and scripting
  • Network Load Balancing – Big IP F5 incorporating the Load Balancing and Remote access modules. (LTM and APM)
  • Storage Networking – FCOE with Nexus switches. Current Storage environments are EMC Clarion and Dell Equalogics
9

Data Analyst Lead Identity & Access Management Resume Examples & Samples

  • Presenting I&AM data in charts, graphs, & tables using relational databases for data collection. Providing a narrative around risk exposures with proposed solutions to solve for control gaps or risk exposures
  • Planning, communicating, coordinating with Global Identity and Access Management teams
  • Understanding regulatory requirements and issues in I&AM domain and translating them into requirement specifications / input for Global Identity & Access Management initiatives and strategy
  • Supporting the formulation of access Key Control Indicators enabling management to maintain a rigorous control environment. Providing requisite support to the I&AM audit processManaging the linkage between the logical model, business glossary and any physical artifacts to ensure traceability and consistency of terms and definitions
  • Ensuring these models are consistent and that the Business Glossary is linked and maintained in a manner that allows impact assessment and lineage of metadata
  • Current state documentation and data lineage capture using data flow and metadata
  • Contribute to the data & information architecture decision making process
  • Assist in the interaction with business users to plan, develop, improve, and maintain complex components of the Logical Data Warehouse and related Models
  • Acts as a project team leader on projects, offering technical supervision over lower level data processing staff in implementing a complex, integrated systems project
  • Providing leadership to other junior data analysts in the team
  • In addition, you will work with businesses, AD & technology areas to deploy GIAM solutions to address control gaps as well as work with legal, control and compliance teams to formulate responses to internal/external regulators for I&AM issues
  • Experience with information modeling analytical solutions in a data warehouse environment
  • Proficient with reporting tools like SSRS, Qlikview, Cognos or other similar tools
  • Proficient with using complex SQL for extracting data from RDBMS
  • Knowledge of messaging principles and data distribution architectures
  • Preferred experience with data architecture in the Identity and Access space
  • Strong communication skills and ability to work with partners and stakeholders at all levels of an organization
  • Self-directed: be an independent contributor who is comfortable working in a self-directed environment
  • Analytical and detailed - strong analytical skills with complementary communications and presentation skills with attention to detail and accuracy
  • Documentation - ability to produce clear, concise, relevant and accurate documentation based on captured requirements and information gathered from stakeholders and subject matter expert
  • Motivated - displays drive, energy and enthusiasm
  • Must be highly reliable, trustworthy, honest and commitment oriented
  • Team player – able to create effective partnerships with colleagues
10

Lead Data System Analyst, VP Resume Examples & Samples

  • The candidate should have experience configuring, extending, and supporting OFSAA Data Foundation platform and OFSAA Applications
  • The candidate should also have extensive development expertise working with ETL/ELT, hands-on PL/SQL databases programming, including stored procedures, database triggers and database packages
  • Designing, implementing and supporting business processes and analytical solutions with OFSAA in an Enterprise environment
  • Collaborates with business users to analyze Business Requirements and implement appropriate configuration and ETL/ELT designs for OFSAA Data Foundation
  • Provide technical expertise on overall architecture and strategy of the current Oracle systems
  • Design, develop, analyze and implement solution extensions as required using OFSAA Data Foundation and Applications framework
  • Produce technical documentation in accordance with SDLC guidelines
  • Extensive experience in OFSAA Infrastructure and OFSAA Data Model
  • In-depth knowledge of development using Oracle (including 11g) and OBIEE
  • Understanding of data modelling using Erwin is preferred
  • In-depth knowledge of OFSAA Data Foundation framework, Oracle DB and OBIEE Architectures, relational data modelling, SQL & PL/SQL programming, Oracle SQL Performance Tuning
  • Bachelor’s degree or equivalent in an IT-related field with 5-10 years related experience
  • Broad understanding of Finance, Banking, Liquidity and Risk management
  • Experience in implementing regulatory framework for banks (Basel III and Dodd Frank Stress Tests) is a big plus
  • In-depth understanding of Dimensions, hierarchies and attributes as it applies to OFSAA Data Foundation and Applications modules
  • Ability to communicate with both technical and non-technical groups on a regular basis to maintain transparency on work efforts and to ensure design and implementation is understood by all team participants
  • Must possess organizational, problem-solving skills and time management skills and be able to meet deadlines
  • Effective verbal and written communicator, able to adapt delivery style and language to suit the audience
  • Able to present complex issues and solutions to mixed audiences, where necessary resolving conflict and complexity by delivering practical solutions
11

Data Analyst / Analytics Lead Resume Examples & Samples

  • Leads and executes analytic projects to provide insight into client needs and behavior, supporting marketing and client servicing decisions. Serves as the analytics expert on cross functional teams for large strategic initiatives. Serves as own Project Manager and Relationship Manager for smaller projects
  • Engages with project sponsors and stakeholders to understand each business question. Probes for hidden questions and goals. Brings structure to each request and translates requirements into an analytic approach
  • Acquires structured and unstructured data and prepares it for analysis. Investigates, extracts, cleans, transforms, QCs and manages data using SQL and Base SAS programming techniques. Identifies and diagnoses data inconsistencies and errors, forages to fill data gaps and blazes new data trails
  • Analyzes data to describe client behavior and preferences, understand channel usage, diagnose client experience problems, size marketing opportunity, target clients for treatment and measure the impact of marketing and servicing initiatives. Identifies and utilizes appropriate analytic methods and specialized tools to generate insights, answer the business questions and fulfill project objectives. Seeks out innovative approaches and techniques
  • Prepares and delivers insight presentations and action recommendations. Communicates complex material in layman's terms. Guides business partners on the interpretation, implications and use of analytic results. Consults on statistical problems (test design, significance testing, confidence intervals, weighting)
  • Develops and applies domain knowledge of Vanguard’s businesses and data to shape the analytic road map
  • Contributes to the growth of the analytic community. Mentors analysts
  • Undergraduate degree in an analytically oriented major, such as statistics, mathematics, economics or an applied social science. Graduate degree preferred. Academic training in applied statistics preferred
  • A minimum of five years general experience and five years relevant professional experience in analytical roles
  • Able to take disparate data and understand it, process it, extract value from it, visualize it and communicate it
  • Strong SAS and SQL programming skills. Understanding of data structures
  • Experience gathering requirements, developing analytic approaches, and applying quantitative methods to harvest insights
  • Industry experience applying statistical techniques (modeling, regression methods, decision trees, forecasting, clustering, time series)
  • Solid Excel and PowerPoint skills
  • Strong communicator of complex concepts and analysis, able to handle a variety of audience knowledge levels. Data visualization and storytelling skills
12

Data Exploitation Analyst Lead Resume Examples & Samples

  • 10+ years of experience as an all-source or intelligence analyst for the US Intelligence Community (IC)
  • Ability to extrapolate relevant information from unstructured data sources
  • BA or BS degree required
  • Ability to demonstrate excellent Arabic or Spanish language expertise preferred
13

Senior Lead Data Ops Analyst Resume Examples & Samples

  • Develops, creates, and modifies general code or specialized utility programs. Analyze department needs and develop software solutions and automation
  • Designs specialized program with the aim of optimizing operational efficiency. Analyze and help design databases within finance and regulatory reporting domains, working individually or coordinating database development and validation as part of a team
  • Confers with ETL developers, production or systems analysts, programmers, architects and modelers to design automation system and to obtain information on batch job limitations and capabilities, database performance requirements and interfaces
  • Plans and maintains the schedule and workflow for multiple reports and administrative tasks. Works with subject matter experts to produce, contribute, review, or approve the results
  • Assists reporting analysts with developing reporting procedures. Ability to facilitate, coordinate and elicit reporting requirements from multiple stakeholders
  • Partners with subject matter experts to extract, filter, and aggregate data using logical queries and programming. Develop and direct Data Warehouse testing and validation procedures, programming, and documentation
  • Determines Data Warehouse performance standards. Coordinate data installation/upgrades and monitor automation suite functioning to ensure specifications are met. Consult with management about automation software system design and maintenance
  • Maintains reports through manual file uploads, and performs verifications for completeness and accuracy. Maintains data files, archives, and documents library as well as manages the version control, updates, and approvals of key documents for policies, procedures, and audit control plans.Supports enhancements to functionality of Finance and Regulatory Data and reports
  • Manages projects and/or small teams to support new initiatives or other automation efforts
  • Assists senior analysts with communication between business units, department leaders, and committees to ensure proper approvals and submission of reports and supporting documents
  • Responsible for conducting in-depth analysis of existing and proposed business operations
  • Creates and maintains documentation on processes, policies, Data warehouse configuration and help-related materials for users
  • May oversee departmental and bank processes or procedures related to supported systems and ensures controls and compliance
  • Provides support as a subject matter expert to for finance and regulatory business or system processes
  • Bachelor’s Degree in - Required
  • Master’s/Advanced Degree in - Preferred
  • Requires mastery level knowledge of job area typically obtained through advanced education combined with experience. May have deep knowledge of project management
  • Requires 10 years minimum prior relevant experience
  • Ability to work on technologies to build and maintain automation suite like Oracle PL/SQL, Informatica, Talend, Structured Query Report, Big Data Integration, Apache Maven, C++, Oracle, Java, Python, Spark , Apache Hadoop, Defect tracking software/tool; Hewlett Packard LoadRunner, Source code editor software, AJAX, jQuery
  • Strong management and control of work flows to produce deliverables within required timeframes and quality standards
  • Good Knowledge of project management and Microsoft Office tools. Strong verbal and written communication skills
  • Highly motivated with strong leadership and keen focus on details skills. Understanding of financial industry, risk management, and/or corporate security
  • Good problem solving skills and be able to swiftly escalate issues to management when needed
  • Strong eye for design and understanding of layout flows, ETL design, batch job dependencies and programing
  • Ability to adjust to rapidly changing requirements and prioritize deliverables
  • Ability to condense information and transform technical data into easily understandable concepts
14

Data Analyst Lead Resume Examples & Samples

  • Capture and entry of study data received from the field in a timely and accurate manner, assist team and provide leadership to ensure that month end deadlines are met
  • Compile missing data reports and provide detailed queries to the sites to facilitate accurate and timely data capture
  • Serve as primary contact for study data questions from inside and outside the organization
  • Assist in providing tools and training to Oncology and Cardiology sites as it relates to data capture and reporting
  • Provide oversight to the monthly financial close processes related to data capture and reporting from sites
  • Act as the SME (Subject Matter Expert) for Data Integrity as it relates to systems and training
  • Communicate regularly with field operations regarding study activities
  • Compile and report weekly data capture and entry status
  • Assist Strategic Site Liaison to ensure all patient enrollment is captured from sites
  • Assist Billing with producing visit capture details and reports related to study data
  • Reconcile study data with data provided by Pharmaceutical companies as needed
  • Identify issues with processes, systems or data and communicate to management on timely basis
  • Apply appropriate technical, industry and functional knowledge to all work efforts
  • Understand structure of and interpret Clinical Trial Agreements (Contracts) in order to identify revenue or expense producing activities that are to be captured
  • Proficient with usage and meaning of clinical language and terminology as it relates to clinical study related procedures
  • Understanding of an EMR and how to obtain information from it
  • Process evaluation and improvement—both manual and automated
  • Effective communication skills, both verbal and written
  • Microsoft Office Suite of Products (Word, Visio, PowerPoint)
  • Intermediate to Advanced Excel Skills
  • Plan, organize and execute training processes internally and externally
  • Creative approach to problems
  • Planning and time management to meet deadlines
  • Impeccable attention to detail
  • Abilty to lead, organize and make decisions
  • Ability to work both individually and within a team dynamic
  • Take ownership of assigned responsibilities and follow through on outstanding issues
  • Establish and maintains long-term relationship with internal and external operations, building trust and respect by meeting and exceeding expectations
  • Self-directed and autonomous
  • Results oriented
  • Ability to meet critical, time sensitive objectives
  • Experience in business, finance or clinical research related discipline
15

Data Team Lead & Analyst Resume Examples & Samples

  • The Data Team Lead will be responsible for leading location specific analysis for a high-profile organizational improvement and data analytics and resource strategy assessment
  • In addition they will be responsible for the day-to-day leadership and execution of assigned analysis tasking that will support the following team activities
  • Define current organizational structure and current/forecast resource requirements
  • Define organizational functions and capabilities
  • Define trends and game changers
  • Engage organization executive leadership and key decision-makers
  • Establish organizational structure and resource alignment alternatives
  • Lead facilitated discussions and briefings with executive leadership
  • Conduct internal quality assurance reviews of interim and final deliverables
  • Tableau a plus
  • Excel required; VBA ideal
  • Business Process Reengineering experience
  • Human Capital/ Workforce planning experience a plus
  • PMP is a plus, but not required
  • Ability to obtain and maintain certain job-related certifications if no job-related advanced degrees
16

Data Modeling Analyst Lead Resume Examples & Samples

  • Execute analytical projects, at times leading project development efforts for statistical model development, data analysis, and decision support tools, from solution design and data integrity evaluation through solution documentation and implementation
  • Support field sales force and marketing organization by providing analytical expertise
  • Possible remote / telecommute work options. All U.S. locations considered
  • Development of advanced analytical solutions for Experian clients, including scoring and business intelligence for account acquisition, applicant decisioning, and account management
  • Minimum of 5 years of statistical modeling / data analysis experience including data manipulation experience preferably using SAS, R, Python, SQL, VB
  • Expert analytical skills to evaluate understand and interpret data from both an internal and client perspective
  • Strong knowledge of Unix and Microsoft office products
17

Data Analyst Lead Resume Examples & Samples

  • Bachelor's Degree, preferably with a quantitative orientation such as engineering, statistics, accounting, economics, or mathematics
  • A minimum of 6 years analytical work experience in a professional setting
  • This position is subject to online pre-employment testing for internal and external candidates
  • High technical proficiency in programming (i.e. SAS, SQL, R etc.)
  • Research and review data/information, able to apply advanced Analytical techniques
  • Identifying impacts/risks
  • Critical thinking skills with the ability to draw valid conclusions
  • Ability to work on complex problems and formulate realistic/impactful recommendations
  • Experienced in data mining and exploration of new and/or untapped data sources
  • Ability to effectively communicate the results and insights of the analyses to Business Partners/Claims Leadership; this includes the ability to convey complex analysis in simple and concise ways
  • Ability to handle varying work load demands
  • Ability to meet project deadlines & drive results
  • Ability to handle ambiguity & work under pressure
  • Strong self-motivation and adaptability, able to work autonomously
  • Ability to build and maintain strong collaborative relationships with internal and external customers, team members, cross functional departments and management to resolve complex issues and identify, plan, and execute on data analysis initiatives
18

Lead Analyst, IT Data Mgmt Resume Examples & Samples

  • Minimum of 10 years of work experience in IT industry or department
  • Minimum of 7 years of work experience in leading IT projects
  • Experience in managing simultaneous complex projects from inception to successful completion
  • Strong analytical and product management skills required, including a thorough understanding of how to interpret customer business needs and translate them into operational and project requirements
  • Familiarity with Bank of America technology processes and culture
  • Advanced skillset, learning new skills & taking on more difficult/complex responsibilities
  • Sets project objectives & supports team objectives
  • Functional lead on projects
  • Seeks out & implements new ways to approach/complete tasks
19

Partner Portal Data Analyst & Internet Analytics Lead Resume Examples & Samples

  • Report on marketing campaigns for each customer type – identifying successes and making suggestions based on the data story
  • Report on registration progress for the US
  • Create report and identify users with highest activity
  • Liaise with marketing teams in order to ensure tracking is implemented and understand full schedule and scope of marketing efforts
  • Provide gap analyses with other systems as we seek to migrate old databases to current Partner Portal Database/System
  • Provide ad-hoc support through AT Internet tool for quick analytics
  • Manage overall web dashboards
  • Create new dashboards based on product launches or new landing page creation
20

Lead Service Data Analyst Resume Examples & Samples

  • Bachelor's Degree (Computer Science, Computer Engineering, Information Systems Management, or similar)
  • 5+ years experience with database structures, data sourcing, and data warehousing
  • Intermediate / Advanced SQL experience and understanding of relational databases
  • Strong organizational ability
  • Ability to work independently and in a team
  • Ability to monitor and follow-up on critical support issues
  • Experience with Microsoft SQL Server and tools like SQL Server Management Studio, SQL Server Integration Services, and Visual Studio
  • Experience with Git and Powershell
  • Experience converting user requirements to systems design
  • Understanding of Microsoft Active Directory Security
  • Understanding of SAP CRM and SAP BW systems
  • Familiarity with basic accounting concepts
  • Day to day operation of a service data warehouse that receives updates from an SAP CRM system overnight
  • Develop new data structures to provide data for users
  • Develop new reports and one time queries as needed
21

Data Analyst, Lead Resume Examples & Samples

  • Collect, analyze and prepare data for ongoing data requests and reports
  • Writing of data queries and reports to collect data
  • Chart review for data collection and/or confirmation
  • Preparation of numeric or graphical data presentations as needed
  • Assist with the data input, database management, report writing from central database systems such as Meditech, Excel etc
  • Analyze, track and trend data and utilize performance improvement tools and techniques, such as graphs, run charts, control charts in performance improvement reports
  • Utilize graphics when appropriate in presentations
  • Maintain integrity of system data elements, troubleshoot and fix discrepancies and submit data on schedule
  • Work directly with the Quality Director and Quality Manager to provide and present data summaries as requested
  • Participate and contribute to the Quality Committee quality/process improvement activities
  • Assists with preparing and scheduling meetings and documentation of minutes
  • Creation of specialty databases and the training of its end users
  • Strong interpersonal skills, customer service skills and multi-tasking skills required
  • Basic computer grammar and spelling accuracy
  • Must have strong organizational skills, the ability to prioritize workload, flow schedules and meet deadlines
22

Lead Data Risk Analyst, Starbucks Technology Resume Examples & Samples

  • Designs and leads technology risk assessments in support of business requirements
  • Implements process or control workflows in support of risk treatment recommendations
  • Designs, reviews and approves procedural documentation (i.e. work instructions)
  • Assists in development and continuous reporting of goal-based metrics
  • Leads coordination, consultation, and assessment efforts to track and remediate identified and analyzed risks; directs response to related technology incidents, internal or external audits, and / or control assessments
  • Develops and configures risk forecasting models, defining baselines and reports used for trend analysis
  • Identifies, reports, and assists in resolving technology risks and control gaps
  • Leads feedback loops with adjacent Architecture and Engineering teams to protect data from compromise
  • Recommends, reviews and approves policies and procedures for identifying, reporting, and resolving technology risks
  • Contributes to the strategic direction of the team, working in conjunction with the Governance, Risk & Compliance manager to develop new capabilities, process efficiencies and desired state goals
  • Identifies and escalates issues and risks to leadership in a pragmatic, actionable manner
  • Information Risk Management, IT Risk Management, Operational Risk Management or related area (5-7 years)
  • Certifications such as CISSP, CISM or others focused on information risk management, desired (5-7 years)
  • Ability to apply knowledge of multidisciplinary business principles and practices and practices to achieve successful outcomes in cross-functional projects and activities
  • Ability to learn and understand new areas of the business, technologies and associated processes
  • Ability to use a consultative approach to developing and presenting solutions; ability to prioritizate the workload to align to strategic and tactical goals for self and other data risk analysts
  • Strong skills in Microsoft Word, Excel, PowerPoint and Sharepoint
  • Ability to work in a dynamic work environment, handle ambiguity and maintain productivity
  • Strong communication skills, effectively demonstrating through written and verbal forms, while amplifying engagement through listening
  • Ability to lead collaboration with counterpart teams both internal and external to Information Protection Services
  • Ability to use risk assessment methodologies such as FAIR, OCTAVE-Allegro, NIST 800-30, ISO 31000, or related, preferred
  • Knowledge of developing process improvement models, preferred
  • Knowledge of Bayesian statistical analysis and / or Monte Carlo simulation, preferred
  • Knowledge of assessing, developing or executing to a management framework such as ISO 27001, preferred
  • Ability to use calibrated estimation, probabilistic forecasting, or similar measurement models, preferred
  • Knowledge of data science / analysis or visualization tools such as PowerPivot, R, or Tableau, desired
23

Data Analyst, Lead, Starbucks Technology Resume Examples & Samples

  • Leads discussions with solution delivery teams about technical alternatives and respectively champions their point-of-view
  • Interacts with Channel business partners to lead solutions and improvements with business acumen; contributes to projects by providing expertise with limited direction
  • Proposes and influences new ideas, gains alignment cross-functionally, armed with data and competency necessary to implement and sustain solutions
  • Leads facilitation and negotiations cross-functionally, with 3rd party vendors on complex projects or situations. Coaches and mentors junior SAs
  • Proactively develops team members/peers through coaching/mentoring on technical skills, business acumen, and soft skills
  • Leads prioritization of enhancements, backlog grooming, and project initiatives
  • Innovation – Instills innovation into daily activities to transform technology solutions. Leads with industry technology trends that propel the organization into the future
  • Leads the thoughtful design of engaging technology solutions by utilizing user-centric design techniques and considering the overall user technology experience
  • Leads review of business capabilities to prioritize inclusion into the business capabilities roadmap
  • Facilitates technical decision making by negotiating priorities, options, and tradeoffs within solution delivery teams
  • Provides recommendations to solution delivery teams for resource allocations and actively participates in backlog grooming and iterative planning
  • Interprets problems and provides solutions to business problems using data analysis, data mining, and optimization tools
  • Evaluate new data technologies to determine the effectiveness of the solution and its feasibility of integration with Starbucks enterprise platforms
  • Develop and maintain ongoing data exploratory analyses against internal and client-provided data
  • Support the business teams to solve complex segmentation and analysis challenges
  • Conduct data sourcing and integration, perform discovery analysis and data preparation on these datasets to assess quality fit for analytics purpose and identify gaps
  • Utilizes LEAN techniques to develop business process designs and guide operations improvements via process reengineering efforts
  • Evaluate proposed designs and design decisions to ensure reduced TCO
  • Partner with architecture and PM organizations to drive future planning of system solutions with a mindset of future business needs and trends
  • Applies domain expertise to project scoping and resourcing needs to align with AOP and PMO initiatives
  • Leads cross-functional teams through project lifecycles
  • Leverages partnerships to gain knowledge on industry trends and builds relationships to influence product roadmaps
  • Customer Relationship Management (Siebel and SalesForce preferred)
  • ERP systems general knowledge (Oracle EBS preferred)
  • Enterprise Data Warehouse
  • Data architecture & analytics platforms
  • Operational Reporting & Data Visualization (Tableau, Power BI, OBIEE preferred)
  • Analytics & data warehousing (Exadata, NoSQL or other big data applicance)
  • Predictive business modeling (Logility, Demantra TPO, R, Python)
  • Iterative software / reporting development
  • Management of technology development from POC to enterprise sustainable solution
  • Technology Product Management (cross-platform preferred)
  • Mobile Application Development
  • Software selection process
  • Application support
  • Experience in CPG, foodservice or licensed/franchise business models
  • Customer Order Management & Financial Settlement
  • Digital Marketing, Content Management, Digital Asset Management, eCommerce
  • Reporting & metrics development across multiple systems and teams
  • Business analysis & executive reporting
  • Managing technology enabled business process change
  • Lead by example, with confidence, respect, patience, a positive attitude, honesty and integrity and a strong sense of commitment
  • Be intellectually curious and comfortable with the unknown; taking initiative to learn about other products across the enterprise
  • Strong knowledge and demonstrated application of all facets of systems development lifecycle and technology operations
  • Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional initiatives and activities
  • Ability to collaboratively and objectively assesses benefits, costs, and viability of proposed solution options and drive alignment across a diverse group of stakeholders
  • Ability to leverage business knowledge, sound judgment, and resourcefulness to determine appropriate course of action in challenging, ambiguous situations
  • Strong written and verbal communication skills. Ability to engage with and present ideas to senior leadership. Provides key input to facilitate decision-making process
  • Leadership in the utilization of user-centric design concepts in conjunction with agile prototyping, development, and testing to deploy highly engaging technology solutions to the end user
  • Working knowledge of Service Oriented Architecture (SOA) design and service management practices
  • Orking knowledge of Agile SCRUM solution design/development methodology and practices
  • Connecting across Starbucks
  • Sharing and working together
  • Leveraging and learning from each other
24

Data Analyst Team Lead-leduc, AB Resume Examples & Samples

  • Responsible for pipeline inspection data analysis report deliveries according to contractual obligations specific to tethered ILI technologies
  • Provide updates on the status of all tethered ILI projects to clients and management
  • Ensure proper planning and resource allocation for all assigned analysis projects and accounts
  • Accountability for timeliness and accuracy of all tethered ILI data analysis reports and services
  • Key point of contact for all tethered ILI clients
  • Foster strong client relationships
  • Performance management of analysts and support personnel on the team
  • Technical support for sales and operations
  • Collaboration with sales to ensure understanding of and delivery of client expectations
  • Report directly to North American Data Analysis Manager
  • Conduct all business activities in accordance to Baker Hughes HSE policies and core values
  • At least 5 years of experience in the oil and gas industry – operations, sales, data analysis, or project management
  • Bachelor’s Degree – Engineering, Science, Business
  • Strong leadership capabilities
  • Ability to build strong relationships with multiple groups within the organization
  • Great written and verbal skills
  • Strong communication is key
  • Ability to travel up to 20%
  • 3-5 years of experience in pipeline inspection
  • Previous management experience
  • Data analysis working experience
  • Self-starter under minimal supervision
25

Lead Systems & Data Analyst Resume Examples & Samples

  • Hands-on experience working with SAP
  • Previous experience with requirements development and documentation
  • Documentation of test plans, test cases, test results, and other applicable artifacts
  • Knowledge of Agile development methods
  • Experience in large scale SAP transformation projects
  • SAP S4/HANA
  • Bachelor’s degree is MUST with typically 13 or more years' related work experience
26

QC Manager, Scientific Data Analyst Lead Resume Examples & Samples

  • Possession of a Bachelor’s degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in a clinical, biological/biomedical science or healthcare related field (Additional qualifying experience may be substituted for the required education)
  • Master’s degree preferred
  • Foreign degrees must be evaluated for U.S. equivalency
  • A minimum of six (6) years’ of progressively responsible job related experience including two (2) years of experience in a leadership capacity, as designated by the Program requirements. (May be pharmaceutical, clinical, etc.) experience in a pharmaceutical, biotechnology and/or clinical environment
  • Must be able to obtain and maintain a security clearance
  • Familiarity with area of clinical trials, both interventional and non-interventional, preferably in the field of Oncology
27

Data Analyst Lead Resume Examples & Samples

  • Build strong relationships throughout the business to provide timely and accurate insights to a network of like-minded data owners/consumers
  • Understand the business pinch points and deliver targeted intel to help alleviate
  • Provide customer care with understanding, trends and knowledge of our customers issues and contact habits
  • Identify insight opportunities and deliver high quality Intel to shared functions
  • Ensure a continuous drive towards greater accuracy & efficiency throughout Customer Care
  • Use data augmentation, scenario modelling and historic data to help forecast customer behaviour
  • Experience with analytics and reporting
  • A proactive and analytical approach
  • Ability to communicate information clearly and concisely
  • Ability to handle multiple tasks managing priorities and focus as needed
  • Proactive approach and able to show initiative/ideas
  • Be able to work as part of a team but be able to work on your own and make decisions
  • Be commercially aware
  • Be confident with systems
  • Excellent interpersonal, communication and influencing skills with a proven ability to bridge knowledge-gaps
  • Adaptable to business change and a fast paced environment with a strong growth agenda
  • Proven initiative and desire to contribute beyond the core expectations of the role
  • Organises own workload effectively