Analyst, Data Resume Samples

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V Kihn

Verda

Kihn

15624 Parker Parkways

Philadelphia

+1 (555) 972 1671

15624 Parker Parkways

Philadelphia

Phone

p +1 (555) 972 1671

Experience Experience

San Francisco, CA

Analyst, Data

San Francisco, CA

Bartoletti LLC

San Francisco, CA

Analyst, Data

The successful candidate will operate as part of small teams of fielding technicians
The candidate will conduct and support the tracking of hardware and software for system fieldings, as well as provide assistance to senior technicians as directed
May travel up to 75% of the time. Travel may include hostile fire zones
May perform other duties as assigned
Familiarization with the following hardware: Dell Servers, Dell Laptops, NetApp FAS2020/2040, NetApp Disk Shelf, Cisco Switches, Sun Microsystems hardware. Knowledge of Unix/Linux/DOS commands. Knowledge of Windows Client/Server Software and Solaris 10
Knowledge of Army organizational structure
Design and develop data collection instruments, databases and procedure manuals based on thorough knowledge of data files, related databases, and systems integration

Los Angeles, CA

Analyst, Data Stewardship

Los Angeles, CA

Moore, Boyer and Christiansen

Los Angeles, CA

Analyst, Data Stewardship

Assist in User Acceptance Testing for biller data dependent projects
Maintain all UAT files/scripts and ensure latest updates reflect within ALM Tool
Assist in the development of the business logic layer for data sets in the National Data Warehouse
Assist in developing a data ingest roadmap and staying on timelines
Partner with HQ systems engineering NETO and business units to implement nationalized best in class business logic
Help in providing answers and detailed information regarding questions about biller related data
Assist in development of a project prototype to be followed by HQ Systems Engineering NETO group

present

Dallas, TX

Systems Analyst / Data Analyst

Dallas, TX

Nitzsche Group

present

Dallas, TX

Systems Analyst / Data Analyst

present

Perform Data analysis on assigned Work Intake Requests(WIR)
Work in a team environment and serve as technical/data subject matter expert for Work Intake Requests(WIR)
Recommend and drive cross-functional continuous improvement opportunities
Perform ad hoc analyses participate in special projects
Recommend methods to improve the use of data within specified areas as well as across the enterprise
Assist in troubleshooting and reporting of Problem tickets
Create and maintain technical documentation using defined technical documentation templates that meet SDLC standards

Education Education

Bachelor’s Degree in Computer Science

Loyola University Chicago

Bachelor’s Degree in Computer Science

Skills Skills

Make recommendations for enhancements to system of record to improve accuracy of biographical data; lead and manage ad hoc projects identified by the Program Director of Data Integrity
Strong knowledge of the securities industry
Knowledge of services provided by each department within Asset Servicing
Knowledge of Trusts and Trust Distributions
Work with the Director of Data Integrity to develop solutions to help in eliminating systematic and human data entry errors; analyze and resolve data integrity issues; implement processes and data audits to identify inadequate, inconsistent, incorrect, and incomplete data
Sound knowledge of all main systems used – Hi-Portfolio is highly regarded
Knowledge of Investment Accounting for various instruments
Knowledge of financial market Benchmarks
Identify and implement data quality best practices; work to ensure compliance with established data standards
Assist in the development of a data integrity program to maintain the accuracy and quality of data in the Development and Alumni database

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CTI Transformation Analyst Data Analyst Resume Examples & Samples

Utilizes MS Access, MS Excel and other Data management tools to automate comprehensive reporting and dashboards for various Transformation initiatives
Provides in-depth analysis and critical thinking to define problems, develop innovative solutions and make recommendations that influence decisions of key business partners
Utilizes multiple data sources to validate / automate calculations associated with Optimization activities
Performs impact analyses on project activities
Possesses a good understanding of client core business functions
Assists Transformation Team to perform strategic evaluations, identify potential gaps and implement corrective actions
Experience in MS Excel, MS Access and other Data Analysis tools
Knowledge in one or more areas of Core Infrastructure / Data Centre Technologies
Broad-based knowledge of other functional and technical areas
Strong analytical and modeling skills in Excel & SQL
Good understanding of IT Core infrastructure services
Ability to work with multi-disciplinary teams effectively under pressure in a rapidly changing environment
Organized, accurate and detail oriented
Motivated and a quick learner
Lean and / or Six Sigma Certification not required but a plus
Ability to exchange complex information within team and with others
Ability to plan and organize an approach to work, demonstrating motivation and drive, and determination to achieve goals

Senior Control Analyst Data Privacy Resume Examples & Samples

Provide development guidance and assist in the identification, implementation, and maintenance of enterprise-wide HR/workforce information privacy policies and procedures
Provide leadership, subject matter expertise, and awareness to internal clients (HR reporting team members, generalists / business advisors, program owners, and application managers) on global data privacy laws with implications for the collection, use, and transfer of HR/workforce data
Work closely members of Citi’s Data Privacy Operations, Data Privacy Office, Legal, and Compliance teams to analyze data privacy obligations for HR programs and provide recommended solutions
Develop, manage, and utilize proprietary applications and/or databases necessary to track the data elements and requirements associated with the cross-border transfer of all existing and new HR/workforce data that is utilized enterprise-wide
Partner with HR Control & Compliance Program Managers and Regional Managers, internal clients, and internal stakeholders to establish ongoing compliance monitoring activities
Develop a solid understanding of all HR Control & Compliance programs and the Global Human Resources function, systems, and applications
Proficient in MS Office applications (Word, Excel, PowerPoint, SharePoint, and Outlook)
Extensive knowledge and experience with global data privacy laws and basic information security principles
Exceptional written and interpersonal communication and organizational skills
Ability to express complicated legal and regulatory concepts in a clear and understandable fashion
Sound judgment, decision making, and critical thinking skills
Being a self-starter and motivated to offer innovative solutions and create quality results
Proven experience managing large, complex programs/projects
Ability to multi-task, prioritize, and respond to time-sensitive requests
Strong business acumen with a global business orientation
Ability to work both independently and collaboratively with teams and other individuals
Ability to work in an ad-hoc, dynamic, and matrixed environment and achieve results with limited instructions
Relevant certifications (e.g. CIPP, CIPM), an advanced degree (JD, Masters, etc.), or similar experience with a large, global organization is a plus

Senior Technical Systems Analyst Data Power Resume Examples & Samples

DataPower: this ESB Integration platform runs multiple applications for all major RBC line of business
WMB (WebSphere Message Broker): This ESB platform is used for integration and complex process orchestration, complementing DataPower in building the RBC Hybrid Enterprise Service Bus
ISAM: this is the next generation Web Access Gateway, securing the browser and mobile access
Legacy Web Access Gateway, securing the browser and mobile access of RBC clients
Provide development, production support, maintenance and technical consulting for IBM WebSphere DataPower software components & infrastructure (primary)
Provide development, production support, maintenance and technical consulting for IBM WebSphere Message Broker software components & infrastructure (secondary)
Provide development, production support, maintenance and technical consulting for IBM ISAM software components & infrastructure (secondary)
Provide development, production support, maintenance and technical consulting for legacy software components & infrastructure (secondary)
Keep abreast of Web Services Infrastructure solutions and Web Services standards in the market place to help identify key solutions that meet/exceed business objectives
Assist in defining application design, development and deployment guidelines & best practices for Web Services infrastructure
Conduct design reviews when required
10% Research and Technical Planning
Web Services expertise is key for this role (5+ years)
Proven expertise in DataPower development (3+ years)
Familiarity with other EAI and ESB technologies, such as WMB, or similar (desired but not required)
Expertise in XML (XML, XSLT, XPath,.)(min 3 years)
Proficient C/C++/.NET/Java programmer. (min 3 years)
Experienced in Web Services technologies and WS-* stack (WS-Security, WS-Trust, , WS-SecureConversation,,SAML) (min 3 year)
Experienced in Internet and Web Technologies (min 3 years)
Experience with enterprise formal development processes
Good administrative understanding of UNIX and Windows NT
Exposure to information and systems Security technologies
Background in troubleshooting and providing support to a production environment
Proven self-starter who can identify possible work areas, assess the need and deliver a solution
Excellent communication skills (written, oral and presentation) capable of dealing with multiple development teams, including internal, off-shore or external partners
Strong Service Partner Orientation
Positive attitude toward technical issues and project pressure
Information Seeking, self sufficient in efficiently dealing with new technologies and technological challenges
Team work & cooperation, networking inside the company for getting support in the day by day challenges
University or College degree in Computer Science, Mathematics or related area preferred
LI-LS1

Analyst, Data Analyst Resume Examples & Samples

Leverage the wealth of existing operational data to build models, user friendly applications and other reporting vehicles in order to aid management in the decision making process. Create complex litigation support worksheets to model a wide variety of class action and damages scenarios. The litigation models must be powerful enough to meet all of the modeling and what-if scenario creation needs of counsel but also utilize sophisticated user interface paradigms so the models can be easily constructed, revised and updated by lawyers who are not familiar with statistical modeling tools. Developing accurate, dynamic and visual reports that clearly communicate the current state, probable trends and any significant anomalies that may help to explain variances from anticipated future business outcomes
Working with large data sets, perform trend analysis, statistical analysis (correlation, regression, and variance analysis), and other analytic methods to proactively identify the expected (normal results) and exceptions from the norm. Use business requirements and criteria to craft relevant analytics and exceptions reporting and communicate results by developing dynamic and visual reporting that clearly communicates trends, statistically significant anomalies in the context of the business problem
Work with other departments within FCRA to clean existing data, to add new data to individual systems that would support more accurate and useful reporting and work to improve the integration of the various data stores within FCRA either via direct communication between the systems, or more likely, the integration of these sources via data aggregation methods embedded within the reporting mechanisms and analytic presentations themselves
Document the methods used to generate the various reporting outputs created. Transfer knowledge of the data itself and the reporting techniques used, on a periodic basis, to various individuals and groups within FCRA so that the department as a whole can increase its aptitude and comfort with regard to formalized management reporting and related analytical methods

Systems Analyst / Data Analyst Resume Examples & Samples

Perform Data analysis on assigned Work Intake Requests(WIR)
Understand source data and determine the correct system of authority
Drive, document definition of business terms and data elements
Verify/test data during system testing
Use business rules and processes to design data quality rules
Work in a team environment and serve as technical/data subject matter expert for Work Intake Requests(WIR)
Recommend and drive cross-functional continuous improvement opportunities
Identify and map critical data elements, sources and processes for client, service, product and institutional data
Understand business process management and business requirements of the customers and be able to translate to BRDs, data mapping specs, and create business cases
Evaluate and implement data quality controls, and develop and document procedures for reliable and repeatable data collection and usage
Help to insure that initiatives are adhered to including storage of artifacts, traceability, version control and change control
Support Maintain Lead with WIR tracking and reporting
Assist in troubleshooting and reporting of Problem tickets
Support release deployments by tracking and collecting required artifacts
Communicate progress, technical issues and their resolution
Interpret written business requirements and technical specification documents to design and develop technical solutions that meet business needs
Collaborate with IT and Business partners to design, develop, and troubleshoot end to end technical solutions
Test the resulting components in accordance with company standards and as defined in approved testing plans
Investigate, analyze and document reported defects – raising issues as appropriate
Create and maintain technical documentation using defined technical documentation templates that meet SDLC standards
Minimum 5 years experience and technology proficiency in Visio, and MS Office products, including Excel, Power Point, Word and Access
Minimum 1-3 years experience with writing SQL queries; Familiarity with data quality/reconciliation tools desirable
Demonstrated ability in data analysis/profiling
Identifying and summarizing data and service delivery methods to generate business insights
Experienced in data quality methodologies and application
Experienced in financial services industry
Familiarity with Actimize; related AML monitoring tools
Self-starter: Takes direction, but is also self-motivated with an independent mindset
Ability to define and discern key aspects of a problem
Proactively generates relevant ideas for new and improved use of technology
Approaches tasks systematically and independently adapts work activities and behaviors to support changes in requirements from stakeholders
Clearly communicates milestones, goals and deliverables when working with others
Actively shares knowledge. Tailors communication style to audience
Contributes to the design and general functional specification and interfaces
Determines documentation requirements taking into account the purpose and environment to which it applies
Ensures clarity of the message, based on the audience
Understands and applies the principles of project management and applies methodologies, tools and processes to manage own assignments or simple projects
Communicates/monitors/ applies quality principles in day to day work. Reviews and validates deliverables from the perspective of consumers of the artifact / work product

Systems Analyst / Data Analyst Resume Examples & Samples

Perform ad hoc analyses participate in special projects
Minimum 1-3 years experience with writing SQL queries Familiarity with data quality/reconciliation tools desirable
Familiarity with Actimize related AML monitoring tools
Effective verbal, written and presentation skills. Ability to ‘tell the story’ associated with analysis for business partners at all levels of the organization
Flexible and adaptable to fast paced, changing environments detail oriented and driven

Analyst, Data Quality Resume Examples & Samples

Data Profiling Profile files and databases, identify business rules and requirements for ingestion and processing of data
Identify patterns, trends and inconsistencies; draw conclusions and provide recommendations in the form of remediation, corrective (CARs) and preventative (PAR) actions
Knowledge of tools to query and manipulate data in varying file formats
Knowledge of programming and software development lifecycle (SDLC)
Exposure to agile development methodology
Analytical with strong problem solving ability
3+ years interpreting data models, data dictionaries and queries
Ability to write moderately complex SQL queries, PL/SQL a plus
Exposure to the following a plus: Informatica, Tableau, Metric Insights

Analyst, Data Stewardship Resume Examples & Samples

Assist in User Acceptance Testing for biller data dependent projects
Maintain all UAT files/scripts and ensure latest updates reflect within ALM Tool
Assist in the development of the business logic layer for data sets in the National Data Warehouse
Partner with HQ systems engineering NETO and business units to implement nationalized best in class business logic
Help in providing answers and detailed information regarding questions about biller related data
Assist in development of a project prototype to be followed by HQ Systems Engineering NETO group
Assist with the development and implementation of the approved project
Log any Production defects within JIRA ticketing system and work closely with Data Quality on validating fixes
Assist with trainings on new and/or enhanced tables/views to end users
BA/BS degree in Computer Science
Amdocs/CSG billing-a plus
Minimum of 2 years relevant work experience

Analyst Data Integrity Group Resume Examples & Samples

Contributing as part of a team which will often consist of all levels of the firm
Participate heavily in the team’s quality control processes
Participate in project(s) to improve processes and data quality
Creative ideas and input are expected and sought from everyone involved
Understand client objectives, trading strategies and market events to effectively respond to client requests
Analysts will stand to gain a broad understanding of the key data elements necessary to support all functional disciplines within BlackRock, and an opportunity to go deeper on one or more asset type in order to specialize and support the portfolio management process
Work with different global team to understand the process concept and implications
Open to support (any shift) and show case ownership during peak volumes season
Candidate must possess and demonstrate a basic 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 flexibility regarding their work hours (preferably 2pm -11pm)
Candidate must have the ability to quickly learn the intricacies of complex financial instruments and adapt their technical ability quickly
Be able to work and deliver under minimal supervision/independently
Good understanding of Financial Instruments in US/EMEA or Indian Market
MBA in Finance from a reputed university
SQL/Unix is an added advantage
Perusing CFA / FRM is an added advantage

Lead Analyst, Data Stewardship Resume Examples & Samples

Maintain quality and stability resulting in a world-class trustworthy data product
Create quantitative analyses that convert data into defined KPIs for actionable insights by combining your viewing data experience with your analytic prowess
Assemble, cleanse, and structure data for analysis and communication of the current state of merged Digital and STB data
Digital viewing data and media metrics skill set with STB experience a strong plus
Strong experience with Omniture, Adobe
Moderate to Strong SQL with experience in big data platforms a plus
Ability to grasp complex analytic principles and techniques with data logic mastery
Proficient with analytical and presentation tools such as Tableau and PowerPoint
Strong speaking, reading and writing skills
7-10+ years working experience
Experience in at least one of the following: STB viewing, Digital viewing, Media metrics, Viewing analytics, Ad Sales analytics
Ability to apply skills to solve weakly structured business problems
Expert knowledge of SAS, R, Stata, SPSS, Python, C++
Experience with Windows and UNIX/Linux operating systems

Analyst, Data Cleanup Resume Examples & Samples

Follow direction of Residuals Subject Matter Expert (SME) to assist Business Analysts and Developers to test Guild rules enabling deployment of rules into RERUN
Enter required setup information and/or payment run/receipts trigger data into RERUN
Provide detailed documentation and schedule of how product data was updated to Residuals SME
Assist Residuals SME to verify that payments utilizing new payment rules are correct
Assist in user acceptance testing for proposed resolution
Provide regular status updates to Residuals SME
Execute multiple responsibilities as prioritized by Residuals SME
Exhibit a basic understanding of residuals

Analytics Analyst Data Quality Resume Examples & Samples

Conducting data sourcing, discovery and analytics using Extract, Transform & Load (ETL) and business intelligence tools
Driving innovation and science in the Data Quality (DQ) domain, leveraging the data harvested to correlate, quantify and guide remediation activities through models
Working collaboratively with Project Managers, Developers, and End-Users to deliver working solutions and analytics in an Agile and iterative manner
Taking direct involvement in the end-to-end system development lifecycle (SDLC), from solution requirements gathering and validation activities through to Production deployment
Creating models and reports providing interpretation and insight into business data
Identifying issues and providing analysis
Designing solutions
Carrying out hands on analytics and application of data science
Creating visualisation solutions for presentation to and use by Management
Demonstrable experience of using data science to solve business problems
Statistics or machine learning experience
The ability to identify issues and propose solutions
Experience working in a project/programme environment
Experience and an understanding of service-oriented solution design and architecture
End-to-end SDLC experience
Goal oriented structured thinking and effective organisational skills
Experience in a financial domain such as capital markets, transaction banking or wealth management (beneficial)
Experience with programming and data languages such as Python, SQL and Java (beneficial)
Experience working with the Hadoop platform (beneficial)
Experience with visualisation tools such as Qlikview (beneficial)
Educated to Bachelor degree level, or the equivalent experience or qualifications
Proficient in use of the ETL and business intelligence tools
Innovative, creative, articulate and able to work directly with a broad range of stakeholders
Able to demonstrate examples of previous successful deliveries and a track record in providing insight through the application of data analytics
An adaptable and positive attitude
Capable of picking up new ideas and applying new technologies

Senior Performance Analyst Data Integrity Resume Examples & Samples

Engineer Degree in Maths / Statistics / Finance, Econometrics is required
Master Degree in Maths / Statistics / Econometrics preferred
CIPM qualification preferred
FRM qualified / CFA (qualified or enrolled) accepted as alternative to CIPM
Professional qualification in data analytics acceptable alternative
Experience directly related to the role (data science) within Asset Management
Experience working with a performance team whose role covers account measurement and GIPS
Would consider candidates without direct performance knowledge experience provided they have a minimum five years’ experience in the finance industry with a focus on big data analytics and qualifications in data analysis
Understanding of various performance measurement and analysis techniques such as return calculation methodologies
Advanced Excel skills or statistical data package equivalent (i.e. SPSS, Autorek, etc)
Knowledge of vendor systems such as DataStream and Bloomberg
MS Access or VBA experience is an advantage.- essential
Strong numerical and statistical skills as evident by existing or previous employment
Knowledge of Bi-SAM’s B-One application
Ability to demonstrate current methods employed to validate big financial data analytics
Self-motivated and responsive to a changing environment
Enthusiasm and a desire to learn new skills and continue self-development
Effective communication skills and the ability to deal with people at all levels (up to senior management)
The ability to dissect data structures and storage mechanisms, enabling pro-active discovery rather than rely on the assistance or description of an IT expert
An understanding of the use of data beyond the database. Consider data usage in messaging systems, transformation in end user applications and spreadsheets, and the extraction and consumption of flat files

Associate Analyst, Data Quality Integrity Resume Examples & Samples

BA or BS degree preferred. Additional applicable experience may be considered in lieu of degree
Strong analytical skills and demonstrated proficiency in performing statistical analyses of data
Demonstrated advanced proficiency using Microsoft Office (Excel, Access, Word, PowerPoint, and Outlook)
Proficiency mining and manipulating large data sets
SQL Server Management Studio is a plus

CDS Data Analyst Data Collection & Quality Resume Examples & Samples

Ensuring the overall integrity of the data and reporting
Working with BCD entities, partners and 3rd parties to ensure data is consistently delivered for reporting
Engaging with BCD entities and partners to understand data capabilities and help drive development initiatives for data delivery in BCD accepted formats
Conducting analysis gaps of data capabilities and assesses data collection improvements to ensure all available data is delivered for reporting
Working together with the CDS Manager to develop standards from an implementation, support, data collection and data management perspective
Involved in the analysis, requirements, testing and deployment of system enhancements
Assisting the data imports team with chasing country data delivery by established due dates
Creating, interpreting and running basic SQL scripts to aid in the research and problem solving
Ensuring that products adhere to company-wide standards
Ensuring continuous process improvement; constantly evaluating process and service delivery to identify opportunities for improvement
Developing and maintaining all product documentation, including but not limited to: User, Training, Implementation, competitive/ marketing materials and system documents
Keeping abreast of emerging technologies and industry trends and maintaining a current knowledge of new releases, bugs and issues and communicate to the CDS Manager
Collaborating with other CDS team members to shape goals, share knowledge in all areas related to Data
Ensuring proper human resources and company processes and policies are followed
Assuming and performing other duties and responsibilities not specifically outlined herein, but which are logically and properly inherent to the position

Analyst, Data Sciences Resume Examples & Samples

A Bachelor’s degree with a minimum of 1-3 years of relevant experience OR a Master’s degree with a minimum of 1 year of relevant experience in Computer Sciences, Information Systems, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Statistics, Computational Biology or a related discipline is required
Strong understanding of drug discovery and development processes is preferred
Hands-on experience with software development especially in data processing, loading, pipeline development and informatics tools integration is required
Working knowledge of data mining algorithms including machine learning techniques such as decision trees, probability networks, association rules, clustering, regression, neural networks, Bayesian models is preferred
Proficient with one or more programming language such as .net, Java, Perl, C++ is required
Experienced in informatics analysis and visualization software/tools such as R/Bioconductor, Pipeline Pilot, Spotfire, GenePattern, Pathway tools is preferred
Familiarity with large datasets, handling of biomedical datasets and understanding of data analysis workflows is required

Residuals Analyst, Data Cleanup Resume Examples & Samples

Review guild/union rule summaries for rules not yet programmed in existing residuals system (RERUN) and assist in executing application to existing products
Assist with organizing, reviewing and analyzing required documents and data to modify existing products in RERUN to apply newly programmed rules
Assist Residuals SME in preparing process flows reflecting data clean up issue identified, prepare proposed resolution in current state and future state
Basic knowledge of domestic union contract provisions, regulations, deadlines, industry standards and requirements
Ability to work as directed and openly ask questions if instructions are not clear

Analyst, Data Resume Examples & Samples

The successful candidate will operate as part of small teams of fielding technicians
The candidate will conduct and support the tracking of hardware and software for system fieldings, as well as provide assistance to senior technicians as directed
Must be able to learn hardware setup and teardown procedures
Must have one year of experience in computer programming and data analysis, including machine and assembly language programming for mini- and mainframe computers
Must be knowledgeable in operation of peripheral computer equipment
Must possess the capability to distinguish between hardware and software problems in multi-vendor systems
Must have one year of experience performing installation, test, preventive maintenance, troubleshooting, and repair for communications equipment, and electronics equipment
Must have a minimum of an active SECRET security clearance with the ability to obtain and maintain a TOP SECRET security clearance with Sensitive Compartmented Information
Must be deployable/be able to travel up to 75% of the time
Must be able to lift 50 pounds
Military experience
Experience with all DCGS-A Family of Systems, i.e. DTSS, TGS, GWS, IFS, P-MFWS etc

Analyst, Data Integrity Resume Examples & Samples

Assisting the Lead in overseeing the Daily/Monthly/Quarterly investment reporting to external clients including transactions occurring on a daily basis
Quality assurance to ensure daily transactions entered are accurate and to maintain the integrity of the client's data on a daily/monthly/quarterly basis
Comparing market value movement of investments to benchmarks and providing explanations to clients where movement exceeds that of benchmark
Assisting in maintaining the integrity of clients Investment transaction data on a daily/monthly basis
Ensure that standard production and delivery processes are adopted across all team members in line with the requirements of the client in an efficient and cost effective manner
Minimum 3 years industry experience preferably a Custodian or Fund Manager
Experience working in an Investment Bank would be advantageous
Strong knowledge of the securities industry
Knowledge of services provided by each department within Asset Servicing
Knowledge of Trusts and Trust Distributions
Operational Risk & Compliance Management Experience
Sound knowledge of all main systems used – Hi-Portfolio is highly regarded
Knowledge of Investment Accounting for various instruments
Knowledge of financial market Benchmarks

Analyst, Data Processing, Consumer Insight Resume Examples & Samples

Prepare data: Data cleaning, coding, aggregation, merging and summarization
Report data inconsistencies, if any, and then clean the data to make it consistent
Create and execute cross tabulations of data sets using Quantum & SPSS
Conduct Quantum & SPSS syntax programming
Conduct intermediate statistical tests like analysis of variance, t-test, z-test, chi-square testing
Bachelor degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline, plus a minimum of 2-3 years of relevant work experience in data analytics, market research, customer knowledge, or consulting
Experience with data analytics, including cross tabulations and weighing
Prior experience with Quantum & SPSS syntax programming
Basic knowledge of Survey Programming in Decipher or any other platform
Advanced knowledge of quantitative research methodologies and statistics
Excellent Excel skills (Lookup formulas,functions, macros, pivots and advanced formulas)
Experience with MS Access, MS Visio, MS Project and/or SQL is a strong plus
Ability to build effective relationships
Good english communication skills
Highly detail oriented, strong commitment to timely execution of tasks
Passionate about data analytics and high quality deliverables

Intermediate Analyst, Data & Analyitics Resume Examples & Samples

2+ years of business experience (Sourcing and Procurement experience an asset)
Strong analytical aptitude around supplier spend/invoice analysis and reporting
In-depth knowledge with MS Office including Excel and PowerPoint
Strong understanding of internal (e.g. Accounts Payable) and external (vendor supplied) data sources
Strong technical knowledge in data mining, reporting tools
Strong attention to detail in large data sets
Good project management/organization skills
Ability to multi task in a fast paced environment
Technical and operational proficiency (Oracle, Ariba, MS Office, Financial/Accounting skills)

Analyst, Data & Systems R&D Methodology Resume Examples & Samples

Identify data consistencies, inconsistencies and patterns as directed by supervisor
Coordinate Quality control of data, tools and systems
Organize and outline key data sets as directed by supervisor
Works to translate data to create effective methodologies and data uses
Works within approved research standards, policies and procedures
Coordinating key projects to completion and success
Works directly with internal, cross-functional teams and department

Data Analyst, / Data Manager Resume Examples & Samples

Serves as data manager for influenza serology team, maintains serology SAS databases, maintains and updates SAS programs for study reports and analyses
Develops, plans, coordinates, and implements analytical programs, especially SAS programs, to manage and interpret data
Works with team members to accomplish research objectives of serologic studies. Provides data analyses on three levels: (1) at the assay level for the complex serological assays performed in Flu Serology, (2) at the study level to accomplish research objectives, and (3) at the overview level to evaluate assay performance over a period of time
Provides the data analysis in the twice yearly influenza vaccine strain selection studies. This data analysis is included in the CDC packet of data for the WHO vaccine strain selection meetings. These data, along with other data, are used to determine the components of the seasonal influenza vaccine
Conducts analysis of research data and prepares technical reports, including Standard Operating Procedures (SOPs)
Ability to be trained on and to perform serological assays as needed
Master's degree preferred
Experience with a Laboratory Information Management System is highly desirable
Laboratory experience in immunological assays is desirable but not required

Business Intelligence Analyst, Data Quality Resume Examples & Samples

Conducts data profiling, performing analysis, reviewing results, developing data quality rules
Identifies data quality metrics, set up capture mechanisms and design data quality scorecards
Develops of procedures to cleanse data and work with system owners to correct data quality issues at the source
Performs system maintenance and upgrades when necessary
Ensures oversight and access management for the DQ Repository
Makes modifications to data governance tool model configuration when needed
Maintains and support the Address Doctor Real Time connector
Performs data load and mappings from source systems
Troubleshoots, monitors, and manages the environment
Supports all request for new API Connections
Develops workflows using Eclipse BPMN workflow
Develops scripts to execute and test mappings and workflows
Develops scripts to import and export data
Develops Integrations between Data Quality tool and Data Governance Tool including but not limited to BPMN workflow engineering, setting up scripts, calling (web) service APIs, adding a Java module, creating integration with a target system
Experience with data management technologies and tools (e.g., Informatica IDQ, MDM, Collibra)
Experience in data analysis, data quality, data warehousing and data enrichment
Strong SQL skills; proficient writing advanced queries to solve complex questions
Hands-on experience in Informatica Administration – specializing in Data Quality Administration (9.x)
Certification on IDQ Admin Specialist
Ability to design, build and test IDQ mappings and workflows
Experience with Address Doctor
Experience on both Linux & Windows operating systems
Excellent communication and interpersonal skills, and the ability to interact and collaborate with other business customers and IT teams
Experience in Javascript development
Experience with REST API and web services
Agile (Scrum) experience
Programming skills to write Python or R scripts

Associate Analyst, Data Resume Examples & Samples

Following work instructions (WI) and after verifying software digital signature, make decision to either approve or deny software installation requests
Develops and maintains policy and procedure in the event of a classified data spill
Performs information security process analyses by reviewing process steps, identifying process enhancements, process metrics, and recommends process optimizations to increase efficiencies
Defines system enhancements to support process improvements
Knowledge of management capabilities of MS SharePoint, Microsoft Office Tools, and other knowledge management tools in support of information security knowledge sharing, metrics tracking, and analytics
Maintains current knowledge of relevant technology
Assists with Computer Security Incident Response activities for the GDIT Enterprise to record, report incidents, and gather metrics for reporting purposes
Provide professional analytical support to departments, with focus on Information Security Training
Respond to ad hoc query requests as needed
Interact daily with IT Security Manager, IT Security Analysts, and users in other divisions
Analyze ISA Training via LMS database and report non-compliance to division LMS Coordinators
Analyze 2nd tier training requests for continued non-compliance and account disablement
Diagnose and discuss corrective measures required to streamline LMS reporting
Other duties as assinged by IT Security Manager
3 years of related statistics/data analysis experience

Data Analyst / Data Mapping Specialist Resume Examples & Samples

Applying delivery methodology standards in the creation of solutions, understanding client tactical plans and goals and expressing business requirements in terms of the function to be performed by the solution
Assisting or leading clients and technical staff to investigate, analyze, and resolve application problems related to system data functions
Reviewing and validating test plan approaches for proper functionality coverage and coordinating / executing test plans while looking for an opportunity to improve testing process
IT project management

Business Systems Analyst / Data Analyst Resume Examples & Samples

Support and maintain the Federal Employee Program - Care Coordination Technology Infrastructure
Involvement in SDLC which includes gathering of business requirements, architecture, design document, planning, development, deployment and maintenance of Care Coordination Technology Infrastructure
Gathering and analyzing the business and technical requirements. Create Functional Specification Document
Attend program design, coding and test walk-through meetings to provide input regarding adherence to technical standards and customer requirements
Conducting Functional Requirement Specification Artifacts meetings with the Project Teams and analyzing the risks involved
Responsible for data mapping, metadata maintenance and enhancing existing Logical and Physical data models
Conducted sessions with architects, business SME and development teams to understand the Change Requests (CRs), and effects caused on the system by the change requests
Determined data rules and conducted Logical and Physical design reviews with business analysts, development team and DBAs
Maintained and updated Metadata repository based on the change requests
Analyzed existing Logical and Physical data models and altered them using Erwin to support enhancements
Conducted walkthroughs with the DBA to convey the changes made to the data models
Implemented SQL Scripts to modify the data to resolve assigned defects
Worked with the ETL team to document the transformation rules for data migration from OLTP to Warehouse environment for reporting purposes
Developed source to target mapping documents to support ETL design
Created tables, views, sequences, indexes, constraints and generated sql scripts for physical implementation
Reverse Engineered databases schema into ERwin Physical Data Model for reusability and then forward engineered them to Teradata using Erwin
Resolved the data inconsistencies between the source systems and the target system using the Mapping Documents
Designed the data sourcing, data staging and ETL process. Mapped the data between the source and targets
Advanced RDBMS Database experience (one or more of the following: DB2, Oracle, SQL/Server or comparable) including database modeling, SQL query, and procedural programming. -
Strong analytical skills, team-oriented interpersonal and communication skills
Excellent written, verbal and listening communications skills
Demonstrates experience within a customer focused environment
Experience with Source Control, Requirements Management, and UML Modeling tools (Rational suite or comparable)

Data Analyst / Data Manipulation Resume Examples & Samples

High School Diploma, bachelor degree strongly preferred
Self-motivated, having the ability to operate independently in a highly matrix environment
Ability to meet production and quality demands and standards
Passionately committed to providing superior customer service
Operates well under pressure
Strong organizational skills with the ability to multi-task and prioritize
Demonstrated flexibility and willingness to work in a changing environment
Highly detail oriented
Strong analytical and problem solving skills
Ability to work well and contribute to team goals
Extensive excel and access proficiency is required
Previous experience in the area of provider billing/contracting is beneficial

Analyst, Data Corp Resume Examples & Samples

Bachelor’s Degree in Computer Science, Information Technology or related area, or substantive equivalent work experience
3-5 experience in data analysis and reporting
Advanced SQL skills including SSIS/SSRS experience
Advanced Microsoft Excel, Microsoft Access
Ability to work across disparate systems
Strong interest in improving reporting and system functionality
Demonstrated ability to work collaboratively in a team environment with all levels of the organization
Legally authorized to work in the US for any employer

Business Functional Analyst Data Analyst Resume Examples & Samples

Defining of business questions and framing these into analytical problems
Carrying out data profiling and analytics using a variety of analytical and Business Intelligence tools
Combining data from multiple sources to build business insight and understanding
Hands on analytics and application of both data science and data modelling techniques to provide transformative proposals for business process improvement
Creating of models, reporting and visualisation solutions providing interpretation and insight into business data and processes
Issuing identification and analysing techniques, such as pattern analysis and root cause analysis, to help identify why issues occur and propose solutions
Experienced in data analytics and business analysis
Experienced in a range of data analytics tools and techniques
Experience working in global remote teams
Proven ability to identify issues and propose solutions
Proven stakeholder management experience
Degree level qualification / or equivalent in data analytics or a related mathematical science
Proficient in use of Extract, Transform & Load (ETL) Business Intelligence tools
Innovative, creative, articulate and able to work directly with a broad range of Stakeholders
Able to create visualisation solutions for presentation to and use by Senior Managers
Highly structured and analytical approach to problem solving
A background of analysis of customer or process data to find business opportunities and solutions
Familiar with modern analytics techniques and able to contribute suggestions to the DataLab analytics roadmap and agenda

Analyst, Data Resume Examples & Samples

Extracts and compiles various sources of information and large data sets from various systems to identify and analyze outliers
Sets up process for monitoring, tracking, and trending department data
Prepares any state mandated reports and analysis
Works with internal, external and enterprise clients as needed to research, develop, and document new standard reports or processes
Implements and uses the analytics software and systems to support the departments goals

Assoc Analyst, Data Resume Examples & Samples

Acts as primary liaison between premium team and corporate finance
Performs ad hoc reporting requests
Identifies any inadequacies within the existing process, strategizes and designs improvements where possible
Supports Corporate systems by managing core Human Resource functions
0-1 year

Principal Analyst, Data Standards Resume Examples & Samples

Develops and maintains an authoritative source/library for Biogen’s controlled terminologies (including Lab) used in clinical trials and associated processes
Supports standards governance framework that supports data standards strategies and processes in alignment with the vision developed by Data Standards and Governance, DS&O Leadership, and industry-based standards policies and procedures
Serves as SME in defining best practices for BIIB implementation of controlled terminology (including Lab) to both ensure drug submissions compliant with industry regulations and create a harmonized and consistent CT library for use within Biogen
Applies an industry-facing focus to foster a consistent approach to employ clinical data standards and address governance requests
Leads or participates in cross-functional teams to coordinate data standardization efforts across Biometrics and other impacted Global Development functions
Acting as a consultant, he/she supports and educates colleagues across Biometrics and clinical study teams and participates in external industry data standards development teams as appropriate, contributing to the development of clinical data standard models on Biometrics’ behalf. Communicating
Develops and maintains a harmonized controlled terminology library source. Manages data standards governance framework for controlled terminology. Proactively identifies and manages critical governance issues, risks, and corrective actions
Serves as SME in defining best practices for BIIB implementation of controlled terminologies (including Lab) and ensuring submission compliance. Develops and implements processes as needed to aid the facilitation of data standards strategies within Biometrics and other functions as needed. Leads and/or participates in cross-functional initiatives to improve standards integration within the clinical data flow
Consults with teams to facilitate improved decision-making and problem-solving to aid in consistent application of controlled terminology
Represents Biogen and Biometrics on external industry-facing data standards development teams. Participates in external initiatives to proactively adopt industry trends and anticipate regulatory needs
Coordinates communication and education with internal stakeholders across Biometrics and other functions within Global Development as well as externally. Creates training content for data standards execution
Develops best practices for data standards incorporation into vendor models. Partners with vendors to ensure successful implementation
8+ years relevant work experience with a focus on data management and/or data analysis
3 years in-depth data standards experience, Minimum of 1 year experience with metadata libraries, controlled terminology
Lab controlled terminology experience strongly preferred
Strong knowledge of clinical data standards, regulatory and drug submission requirements and current regulatory trends including global landscape
Deep understanding of drug development and biopharmaceutical industry required
Strong project management skills, and ability to effectively lead and collaborate with various business functions
High attention to detail including proven ability to manage multiple, competing priorities

Principal Analyst, Data Standards Resume Examples & Samples

Serves as SME in defining best practices for BIIB implementation of standard models (e.g., CDASH, SDTM, CT, ADaM, Define.xml) to ensure drug submissions compliant with industry regulations
Acting as a consultant, he/she supports and educates colleagues across Biometrics and clinical study teams and participates in external industry data standards development teams as appropriate, contributing to the development of clinical data standard models on CDS’ behalf. Communicating across Biometrics and clinical study teams is a critical component of this role
Serves as SME in defining best practices for BIIB implementation of standard models (specifically ADaM), ensuring submission compliance. Manages governance processes for data standards models. Facilitates the implementation of data standards strategies within Biometrics and other functions as needed. Leads and/or participates in cross-functional initiatives to improve standards integration within the clinical data flow
Supports effort to develop and implement data standards governance framework, including governance body that will establish and manage governance processes for data standards models. Proactively identifies and manages critical governance issues, risks, and corrective actions
Consults with teams to facilitate improved decision-making and problem-solving to aid in consistent application of ADaM/SDTM data standards
3-5 years in-depth data standards experience, Minimum of 1 year ADaM experience
Demonstrated problem solving and conflict resolution

Analyst, Data Integrity Resume Examples & Samples

Assist in the development of a data integrity program to maintain the accuracy and quality of data in the Development and Alumni database
Identify and implement data quality best practices; work to ensure compliance with established data standards
Conduct data audits to identify bad or missing data
Cleanse, merge, validate and resolve data integrity issues involving alumni, parent, and friend biographical data
Assist in maintaining and distributing documentation on processes and procedures
Expedite/coordinate/perform complex data entry, retrieval, and data auditing for data integrity purposes
Input centralized, complex data for use by constituents; This data entry requires analysis and decisive judgement at the time of entry
Serve as a subject matter expert on biographical data
Work with the Director of Data Integrity to develop solutions to help in eliminating systematic and human data entry errors; analyze and resolve data integrity issues; implement processes and data audits to identify inadequate, inconsistent, incorrect, and incomplete data
Make recommendations for enhancements to system of record to improve accuracy of biographical data; lead and manage ad hoc projects identified by the Program Director of Data Integrity
Bachelor’s degree or knowledge of higher education fundraising operations and combined years of work experience may qualify
1 to 2 years of experience
Must demonstrate the ability to provide excellent customer service to a diverse group of constituents and colleagues
Attention to detail is critical
Ability to work in a team environment with a positive demeanor
Proficient with Excel and other information management databases
Excellent written/oral/interpersonal communication skills

Lead IT Analyst Data Center Infrastructure Resume Examples & Samples

Provides direct support for all requirements in the physical planning, coordination, cabling, and installation of IT equipment. Oversee the installation of IT equipment by our suppliers
Designs technical solutions and collaborates with Infrastructure teams to convert requirements into equipment placement, network requirements and installation
Develops and promotes data center technology standards
Ensures requirements are met and any design risks are highlighted
Manages customer and external supplier deliverables
Projects typically limited in scope of deployment
Provides multiple alternative options and recommends best solution to specified request
Prepares detailed design documents for data center infrastructure area
Collaborate with all of IT across functional areas to identify and design solutions following IT strategy. Efficiently identifies solutions that will likely deliver the best results
Participate with Project team in design, documentation, development, production rollout and support
Two-year degree from an accredited institution
Must have thorough operational knowledge in Data Center IT Technology
Must be legally authorized to work in the United States without company sponsorship
Must reside within a 50 mile radius of Simpsonville, Kentucky facility; no relocation benefit offered
Must have thorough operational knowledge in Data Center IT Technology experience, strong analytic and problem resolution skills
Industry accreditations are not required but are favorable
Ability to solve problems independently, quickly, and completely, and to communicate them clearly too upper management
Ability to write proposals and technical documents and to make presentations to diverse types of audiences

Data Analyst / Data Manager Resume Examples & Samples

Requires 5+ years of substantial experience in the customer organization and a familiarity with issues involved in intelligence tasking, collection, processing, exploitation, analysis and dissemination
Expertise in one or more of the following disciplines: business analytics, performance metrics, statistics, data verification and validation, data visualization, intelligence analysis
Expertise in using Microsoft Excel for quantitative analysis
Skill in creating and delivering briefings using Microsoft Powerpoint
Ability to apply quantitative data analysis methods to situational analysis and business analytic problems
Ability to critically evaluate information gathered from multiple sources and devise logical rules for reconciling conflicts
Formal writing experience is required
Ability to monitor and guide other team members
Expertise in writing and using Microsoft Excel macros
Expertise in using Cognos, Tableau, and other common analytical software

System Analyst / Data Analyst Resume Examples & Samples

Create and maintain ETL jobs, data marts and operational data stores utilizing both SQL and NoSQL data sources
Create dashboards and reports using BI/Visualization tools
Use data mining, analytics and business experience to help identify, prioritize, structure and solve complex data problems
Build foundational solutions for use in various applications throughout the organization
Bachelor’s degree in Computer Information Systems, Computer Science, Operation Research, Applied Mathematics, Economics or another quantitative discipline
Four years of Information Technology experience with proven record of increasing work responsibility, effective analysis and project management
Experience with the Microsoft Business Intelligence platform: SQL Server, Integration Services, Analysis Services, Power BI
Understanding of data warehousing design principles and methodologies including ETL
Experience with .NET framework and C#
Broad knowledge of principles, practices, and procedures in one or more business applications
Ability to establish and maintain effective working relationships with internal and external customers
Able to manage multiple priorities
Experience in software design and development in a business environment
Understanding of and ability to maintain confidentiality of all company information

Analyst, Data Integrity Group Analytics Resume Examples & Samples

Interact with all areas of the Fixed Income front office to develop analytical solutions using BlackRock Solutions’ Aladdin investment management platform, PACE Data Warehouse and WebFOCUS reporting tool
Assist with further development and implementation of the Aladdin platform
Provide official valuation on non-public assets as well as periodic analysis of the process
Produce monthly fixed income performance measurement and attribution analysis using results from Aladdin
Monitor and research the drivers of performance returns in Aladdin to ensure accuracy
Prepare monthly market value and return reconciliations in support of Aladdin performance measurement
Investigate data quality issues affecting analytics and risk metrics; coordinate corrective actions with other departments as required
Bachelor’s degree in engineering, finance, quantitative analysis, mathematics, statistics, or accounting
Progress toward CFA Charter, MBA or Master’s in quantitative discipline desired
Management firms, or related fixed income investment management experience
Experience with BlackRock Solutions’ Aladdin platform a plus
Advanced proficiency in Excel; experience with SQL and VBA a strong plus
Strong team leadership and interpersonal skills – as this individual will interact with many different parts of the Voya organization
Broad investment, analytical, organizational, operational and technical skills
Highly results-oriented with ability to work under pressure, meet deadlines, and maintain focus
Demonstrated skills in effective oral and written communication with employees, colleagues, and executives

Ld Analyst, Data Mgmt Ops Resume Examples & Samples

Typically requires 7-10 years of total work experience, preferably in securities or financial services
Develops complex script solutions for data conditions in relational databases
SQL Skills required (2-4 years anonymous block data analysis querying skills)'

Data Analyst Data Remediation Resume Examples & Samples

Creating a better understanding of the data challenges expected to be remediated by the team with good research all round
Working closely with SME’s within Client Data Services in order to obtain the required skillsets and to have the right level of support for Key Clients as chosen by the Business
Helping to draft and agreeing, required Key Operating Procedures (KOPs) and Key Performance Indicators (KPIs) around key processes within Data Remediations
Training newer members of the team and helping to ensure procedures are well embedded early on
Managing delivery against agreed timelines and milestones with key stakeholders and the business
Setting the stage for the measurement of KPI’s and Key Risk Indicators (KRI) and other regular Management Information Systems (MIS) that can be published to show progress
Managing the recording, tracking and reporting of all known Risks and Issues
Tracking closely all known data issues to initiate end to end Root Cause Analysis (RCA)
Authoring required systematic changes to both technology and operational processes in order to reduce or eliminate data issues
Helping with the overall build out of Data Remediations functions
Experience in Data Management, Data Analytics, Business Analysis and Financial Services
Ability to work with Master Data Management tools, DQ tools and SQL
Strong and well-developed relationship / stakeholder management skills
Good analytical and problem solving experience
Basic knowledge and awareness of (related) business solutions in the marketplace
Strong knowledge of business analysis methods and tools
Open minded, able to share information, knowledge and expertise with peers and team members
Demonstrates a high motivation to fix issues

Analyst, Data & Systems R&D Methodology Resume Examples & Samples

Works directly with internal, cross-functional teams and departmentleadership to develop and execute marketing research plans to provide information and insight
Analyzes data and uses various methods to reports findings to appropriate team members or clients
Maintains and publishes summary reports of key market facts/ findings
Makes suggestions on research software for local markets
Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary

Report Analyst / Data Analyst Resume Examples & Samples

Collaborate with senior and market level leadership on the continued development and enhancement of the Tableau dashboard used for retention reporting
Collaborate with various levels of leadership on the ongoing maintenance of the Tableau dashboards and standardized organizational structure
Collaborate with leaders of foreign Sysco entities on the creation of retention dashboards
Collaborates with centralized HR, Payroll and business areas to ensure delivery of consistent and relevant reports
Integrates disparate data from multiple systems and tools
Generates standard, custom, quarterly, annual and ad-hoc reports as needed by the business
Creates and maintains library of adhoc reports available to Human Resouces and Payroll users
Designs and creates reports necessary for compliance and audit
Works closely with clients to gather requirements and manage priorities
Utilizes multiple platforms in enterprise wide reporting; SAP, ADP ReportSmith, Access, Excel, etc
Performs QA and testing prior to delivering solutions
Provides documentation of reporting processes and designs
Creates and analyzes reports for end users
Compiles information by analyzing and preparing report data findings with appropriate recommendations; perfroms subsequent reviews to ensure complete and appropriate corrective action is taken
Modifies dashboards and integrates data from multiple data sources – HR and Payroll databases, Excel, SQL server, flat files for analysis and visualization, etc., independently as well as with the guidance of clear requirements
Three years of work experience with reporting and data analysis
Human Resources data analysis
Experience with structured analysis methods including process mapping, and root cause analysis
Working knowledge of Tableau Dashboards
Bachelor's Degree in finance, Human Resources, business or related field or 5 years related experience
Proficiency with MS Office
Excel and Access – Advance Level
Strong quantitative and qualitative analytical skills

Analyst, Data Corp Resume Examples & Samples

Extract large volume of current and historic data from disparate systems to implement process improvement initiatives and to identify trends in comparison of data sets
Design, program, and maintain relational database in Access
Identify the necessary data elements, collect data from multiple sources and scrub source data by creating complex queries and reports and also determine the best table structures for data reporting, analysis, and updating and parsing complex data
Prepare standard and ad hoc analysis and reporting for both internal and external customers using the Company’s internal databases
Prepare productivity reports and outline metrics to help better manage initiatives
Create complex queries using SQL
Understand business needs and develop solutions while managing multiple priorities concurrently
Identify opportunities to further leverage 3rd party, customer, and/or supplier analytics
Lead analysis for visibility in master data discrepancies
Develop ideas and tools to improve usability of company’s internal data sources
Create, design, maintain and update reports, dashboards and other content, and accompanying documentation
Learn new data structures and help design reporting tables
3-7 years of business analytics experience , preferably in a master data role
Advanced MS Access skills and extensive knowledge of database design and management in Microsoft Access and/or SQL
Advanced MS Excel skills (e.g., formulas, pivot tables, graphing, data connections, and automation using macros and VBA)
Knowledge of Master Data Management concepts & methodologies, and able to apply this knowledge towards design and building of MDM solutions
Proven success and focus in creating and implementing process improvement and process standards for our master data management
Strong analytical skills including attention to detail and conceptual problem solving skills
Extensive experience with parsing complex data
Demonstrated experience in improving reporting and system functionality
Able to pull disparate pieces of data together to form a coherent story
Able to structure complex issues and interpret large data sets comfortably and at a continuous rapid pace
Able to draw sound business conclusions from multiple sources of information
Able to manage multiple assignments in a fast paced environment and adapt to shifting priorities
An individual with intellectual curiosity who pushes to understand underlying issues
Collaborative team player who can work across functions and establish and maintain positive and effective working relationships with numerous departments and employees (strong customer service)

Junior Analyst Data Controls & Attestation Resume Examples & Samples

Support the deployment of the Data Controls & Attestation framework across reporting, platforms and geographies in scope
Propose enhancements to the framework and prepare business case for sponsoring these improvements
Perform risk assessment of data flows, identify gaps in controls and establish a process for the stakeholders to address the gaps
Liaise with Business, IT and other stakeholders to maintain/expand risk and control matrix as well as the control inventory for Data Governance
Coordinate with offshore team for maintaining key tools used in BaU, metrics, and dashboards
2 - 5 years’ experience in risk, financial reporting, regulatory reporting or Data Management
Understanding and keen interest of data governance principles
Basic knowledge of the financial industry and related products as well as understanding of the general structure of a financial institution
Has excellent organizational and communication skills

Analyst, Data Resume Examples & Samples

Design and develop data collection instruments, databases and procedure manuals based on thorough knowledge of data files, related databases, and systems integration
Design and implement data management and quality control procedures, including writing technical requirements and documentation of data sets
Participate in project meetings related to data analysis and management
Produce and report data analysis reports. May be required to provide tabular and graphic summaries of analyses in a form suitable for inclusion in manuscripts for publication in peer reviewed scientific journals as well as for presentation at scientific meetings
Conduct in-depth analysis of project data, performing computations with a high degree of independence
Ensure accuracy of reports by data review and resolving discrepancies internally for assigned reports
Provide interpretation of data to senior management
Provide periodic reports to management regarding status of assigned projects and recommend corrective actions when necessary
Schedule, plan, coordinate, and review project activities related to data
Review and monitor compliance with the federal and state regulations
Bachelor’s degree in a business, health sciences, or a related field or equivalent
4 years of related experience
Demonstrated experience/skills in appropriate computer, statistical or database applications
Demonstrated ability to research issues and resources; basic record-keeping and organizational skills
Demonstrated ability to write reports, journal articles and/ or other technical documents
Excellent communication, both oral and written
Interpersonal skills necessary to interact successfully with a wide range of individuals

Analyst, Data & Analytic Platforms Resume Examples & Samples

Builds and delivers tools and data assets for Consumer and Marketing Analytics
Works closely with the Analytics team to build dashboards and visualizations
Contributes to building a business analytic framework for data quality and governance
Champions and enhances organizational initiatives by supporting change management and/or departmental initiatives within assigned area(s) of responsibility
Participates in the design, development and delivery of business-centric data & analytic solutions, including large scale data blending, wrangling and integration
Design, develop and implement data &analytic projects within a Cloud computing environment and utilize Big Data platforms & tools
3-5 Years’ experience in analyzing, designing, developing and operationalizing data assets
Experience in data & analytic process automation
Technology experience in a multi-platform distributed environment
Knowledge of databases and related concepts and hands-on experience in delivery of visualizations and data marts
Hands on experience in a wide array of technology and data products in both traditional and big data space e.g. Oracle, Greenplum, Netezza, Hadoop etc
Knowledge of analytic tools (SAS/SPSS/R), visualization/BI tools (Tableau/QlikView) and data wrangling tools(Alteryx/Datameer)

Analyst, Data Stewardship Resume Examples & Samples

Review and/or begin to help define specific data element business definition values in partnership with the business process owners, Data Governence Officers and information architects
Review and/or capture metadata, review profiling results, document data quality problems and identify data quality monitoring required to provide clarity/certification
Under the direction of his/her manager, the Analyst II, Data Steward is expected to engage with assigned areas within the business operations to develop knowledge and subject matter expertise of the business process, system of record, authoritative sources and their usage
Under the direction of the Data Governance Officer or his/her manager, will monitor data quality business rules and data quality metrics in conjunction with the Consumers and Producers of data produced or consumed from their business functional area
Supports the CDE identification process and escalates data issues to the Data Governance Officers
Participate in data related working group
Serve as a contact for data governance acitvities within the Business Unit (BU)
Participate in the implementation of the Data Management Plan for their functional business area to ensure compliance with the TDA Data Management Policy and Data Standards
Partner with source system owners, subject matter experts, and other data stewards to implement the data management strategy across their respective BU on behalf of their Data Governance Officer
With direction, identify data quality problems through profiling and advanced analysis and work with Sr. Manager Data Stewards and Data Governance Officers to prioritize problems
Execute data quality testing function that serves as a First Line of Defense for their functional business area
Developing an understanding of data quality dimensions, data profiling, data tracing, metadata management, lineage, data quality business rules, the discipline of data quality testing and of root cause analysis for issue management and resolution
Assesses opportunities for data quality improvement including determination of business impact and scope of data quality issues, while identifying root causes and remedies
Facilitates the resolution of data, information and processing challenges, which have an adverse impact on the operational environment and/or business performance

Analyst Data Resume Examples & Samples

Bachelor Degree in business, statistics, mathematics, or related field of study, or 3 years of related experience
Proficient in performing data analyses using one or more of the following: MiniTab, SPSS, R, S, Microsoft Excel, or similar tools
Proficient in programing data extraction and transformations in one or more of the following: SQL, R, S, Visual Basic, Python
Proficient in Microsoft Office Word, Powerpoint, Access
Intermediate knowledge of Microsoft Excel
Experience in querying databases using an application interface such as Cognos, Business Objects, or Crystal Reports

FP&A Analyst Data Analyst Resume Examples & Samples

This role is very fast paced and requires an incredible amount of agility, speed without sacrificing accuracy, and ability to work effectively under pressure
The candidate will work very globally and cross functionally with the regional finance teams, product teams, marketing channels, and business intelligence. Effective communications skills, both verbal and written, are crucial
Mine and work very comfortably and effectively with large volumes of data in SQL, Python, R and Excel
Demonstrated success in a fast paced environment with the ability to accept changing priorities and focus, while remaining balanced and producing quality output
Intermediate level SQL and basic visual basic coding skills are a must
Proven experience utilizing advanced Excel skills to solve business problems and understand statistical significance in a repeatable and sustainable form, including such tools as regression, VLookUp, SumIf, SumProduct, IndexMatch, and Goal Seek
Highly analytical critical thinking skills with an aptitude for learning quickly and the ability to distill complex, detailed data into an executive level story applying appropriate judgement based upon the audience
Sustained experience with financial ERPs or other OLAP based financial planning software such as Hyperion, Prophix, Adaptive, or Cognos
Bachelor’s in Math, IS, Finance, or Economics with relevant of related progressive experience

Business Systems Analyst, Data Management Resume Examples & Samples

Global liaison across multiple lines of business to gather feedback and build business requirements for the Global Marketing Data Mart. Projects include implementing data standardizations, data deduplication business rules, and ongoing data privacy regulations
Manages project roadmap for the Global Marketing Data Mart
Partners with technology development team to prioritize tasks and provide business direction
Gathers business requirements and translates to technical requirements
Provides expertise in identifying, evaluating and developing improvements to the Marketing Data Mart that are cost-effective and meet user requirements
Performs data analysis to ensure quality, accuracy, and performance of the Marketing Data Mart is meeting business expectations
Provides proactive communications and expectation management to global customer base. This includes status updates, business impact, and project priorities communications
Compiles feedback from end users in the department to identify recurrent system problems or new system needs
Writes SAS programs to test and validate that technical solutions are supporting business needs as expected
Provides frontline user support of the Global Marketing Data Mart
Develops user training materials and/or documentation. Trains departmental users on new system features and functionality
Executes user acceptance testing
Maintains thorough knowledge of departmental systems and general knowledge of related organizational systems
Configures system settings and administration options to set up access for new and existing users
May lead or participate in large, complex, cross-organizational project teams
Mentors and trains less-experienced and new team members
Experience in a data integration environment, utilizing SAS or SQL programming languages
Proven ability in understanding, writing, and articulating user business requirements to technical staff
Base SAS or SQL programming skills
Excellent organizational, problem-solving and oral and written communication skills
Good project management skills
Ability to influence and recommend business requirements to desired outcome
Experience with SAS Visual Analytics, SAS Enterprise Guide, SAS Marketing Automation, SAS DI Studio
Knowledge of Internal SAS systems and processes

Analyst, Data Synthesis & Visualization Resume Examples & Samples

Leverage strong communication and presentation skills – both written and verbal – to communicate responses to client inquiries, provide recommendations, and present deliverables
Design presentations and effectively communicate content across levels and functions (internal and external)
Deliver presentations via webinar or on-site at client location (limited travel required)
Bachelors Degree is required; Master Degree in Business Analytics or related field ispreferred
1-3 years’ experience in the fields of Data Visualization or Business Intelligence
Industry knowledge and experience in Shopper or Loyalty Marketing
Self-motivated with critical attention to detail
Ability to communicate, cultivate relationships, and work with various external & internal partners
Experience with industry-standard visualization platforms (SAP Lumira, Tibco Spotfire, Tableau)
Prior experience developing SQL queries preferred
Prior experience in an external consulting/professional services organization serving corporate clients is preferred
Demonstrated expertise in translating data and analysis into implications and recommendations

Senior Business Systems Analyst, Data Resume Examples & Samples

8-10 years’ experience in information technology application design or development
Undergraduate degree or equivalent experience/certification
Skilled at converting business needs into technology requirements and working within IT to manage the execution of projects
Demonstrated ability to assess customer/client needs, creatively approach solutions, and decide and influence appropriate courses of action
Demonstrated ability to understand data components, structures, and attributes
Developing Others - Supports the development of other’s skills and capabilities so that they can fulfill current or future job/role responsibilities more effectively
Organizational Capability - Evaluates and adapts the structure of assignments and work processes to best fit the needs and/or support the goals of an organizational unit

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Internship Resume

Killer Resume Summary

Write a Resume Objective

What to Put on a Resume

How Long Should a Resume Be

The Best Resume Format

How to List Education

CV vs. Resume: The Difference

Include Contact Information

Resume Format PDF vs Word

How to Write a Student Resume

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How to Make
a Resume

50 Best
Resume Tips

200+ Action
Words to Use

Internship
Resume