Data Quality Analyst Resume Samples

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DK
D Kunze
Dandre
Kunze
76782 Pat Glen
New York
NY
+1 (555) 385 6903
76782 Pat Glen
New York
NY
Phone
p +1 (555) 385 6903
Experience Experience
Boston, MA
Data Quality Analyst
Boston, MA
Cruickshank-Heaney
Boston, MA
Data Quality Analyst
  • Expertise ITIL process in incident management, problem management, change management and release management
  • Proactively works to identify process improvements to track and improve data quality
  • Develop data profiling solutions, run analysis jobs and view results, and create and manage data quality controls using Information Analyzer
  • To establish strong working relationships with selected business functions enabling strong communication and expectation management
  • Assists in providing training support, development, implementation and evaluation
  • Support Data Quality Managers to develop tools for data governance and master data management
  • Performing or assisting with the performing of reconciliations of static data between systems and between our systems and externals sources
Phoenix, AZ
Edm Data Quality Analyst
Phoenix, AZ
Cormier LLC
Phoenix, AZ
Edm Data Quality Analyst
  • This position will also work in close partnership with GECA’s cross-functional and segment teams to help design and execute on data quality solutions.Works cross-functionally to address specific data issues and to coordinate efforts between major initiatives
  • Activities include assessment, testing, monitoring, documenting, and communication with Business stakeholders, Analytics and IT teams
  • Identify and propose resolution of recurring Data Quality problems
  • Develop and publish a set of metrics capturing Data Quality trends for a week, month, and quarter to ensure our Data Quality programs are working effectively
  • Develop active Data Quality monitoring and measurement, establishing and publishing KPIs and SLAs
  • Provide Data Quality advisory services participating in cross-functional teams and development or improvement task forces
  • Draft task and project timelines of Data Quality product solutions to collaboratively support the Data Analytics and Warehousing team
present
Detroit, MI
Senior Data Quality Analyst
Detroit, MI
Padberg, Simonis and Hand
present
Detroit, MI
Senior Data Quality Analyst
present
  • Assisting in root cause analysis, investigating any data errors or anomalies and assisting in the implementation of solutions to correct data problems
  • Develop and maintain tools, templates, and methodologies to support the execution and implementation of GBM policies and standards
  • Work with Group and GBM stakeholders to define and prioritise Regional plans for communication and implementation of data policies and standards
  • Prepare and consolidate data for established, periodic review and maintain data quality dashboards
  • This is a high visibility, highly impactful role that provides support for critical regulatory initiative
  • Create reports and presentations
  • Management of presentation for data quality outputs scoring and data profiling results
Education Education
Bachelor’s Degree in Addition
Bachelor’s Degree in Addition
Temple University
Bachelor’s Degree in Addition
Skills Skills
  • Strong analytical skills with ability to collect, analyze and disseminate large volumes of data with attention to detail, accuracy, and data quality
  • Ability to produce high quality work deliverables with high attention to detail
  • Demonstrate a solid understanding of Data Quality concepts and practices for profiling, quantifying, and managing data quality
  • Strong organization skills with ability to understand and apply new technologies and concepts quickly
  • Ability to focus on high quality work and able to meet deadlines while working under pressure in a multi system environment
  • Ability to help create and acceptable data quality tolerance around data
  • Demonstrated attention to detail, with ability to “dive deep” into data issues to find root causes that lead to quality improvement
  • Self-motivated and proactive, ability to work independently with minimal direct guidance, delivering solid action-oriented results quickly implemented
  • Possess strong knowledge of business process, data or information management, and data quality standards and processes
  • Self-starter, ability to work independently in a fast-paced environment and deliver solid action-oriented results quickly
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15 Data Quality Analyst resume templates

1

Data Quality Analyst Resume Examples & Samples

  • Partner closely with Security Coding, Accounts Control, and Data Remediation teams to create business rules to eliminate false positive exceptions and action relevant exceptions
  • Query data from multiple relational databases, perform data analysis and remediate
  • Work with XMC Technology to act as liaisons between Operations and Technology to facilitate exception resolution
  • Partner with ISG Operations to define metrics around timely exception resolution, data coverage, etc
  • Work with ISG Operations and IT partners to identify data quality improvement areas which require enhancements to streamline business as usual (BAU) processes
  • Provide data quality project support
  • Provide UAT testing for strategic technology rollouts
  • Advanced knowledge of MS Office Suite, including advanced proficiency in Excel and Access
  • Data oriented with an excellent attention to detail
  • Ability to focus on high quality work and able to meet deadlines while working under pressure in a multi system environment
  • Ability to work in a collaborative team environment in a local setting, as well as across geographic locations
  • Must possess strong communication skills with the ability to be assertive
  • Candidate should have a flexible sense of urgency, the ability to adapt to changing business priorities, and the ability to multi task
  • Ability to put together strong analytical presentation materials
  • Quickly gain thorough industry knowledge of products and effectively interact with other operating units
  • Proven history of identifying areas for improvement where opportunities exist for more robust functionality/controls
  • Knowledge and familiarity with financial product data vendors (Bloomberg, Reuters, S&P, Telekurs, etc) is a plus
  • Knowledge and familiarity with Accounts data
2

AML Data Quality Analyst Resume Examples & Samples

  • Represent AML Ops regionally, provide input to all Data Quality Management related initiatives, act as a point of contact in Regional AML Operations
  • Work closely with cross regional and functional teams on resolution of Data Quality issues
  • Interfacing with the local/region Business, Compliance, AML, Compliance/AML Technology & Business Technology representatives to manage and track Data Quality related tasks end-to-end
  • Adhere to global standard policies, procedures and tools
  • Operate within agreed business Service Level Agreements (SLAs) and confidentiality standards
  • Supporting the successful accomplishment of internal Risk Control and Self-Assessment (RCSA / MCA) policies, as they apply to the department
  • Implementing integrated processes and procedures aimed at meeting internal and external regulatory or policy guidance
  • Minimum 4 years of relevant industry & work experience
  • Demonstrated ability to work independently, interact effectively, with different levels of management and to operate with excellent corporate work ethics
  • Bachelor degree preferred
  • Knowledge of MANTAS, Oracle DB, Compliance, AML & Banking Products is preferable
  • Excellent technical Excel-Visual Basic, SQL etc. skills
  • Excellent English written and verbal communication skills
  • Demonstrated initiative and creativity in problem solving and Data Analysis
3

Asset Management Data Quality Analyst Resume Examples & Samples

  • Installing, maintaining and supporting Ab Initio software (MDR, ACE/BRE) in Unix environments
  • Designing metadata placement using Ab Initio metadata model and enhancing the metadata model to support non-standard metadata that we need to capture and store
  • Designing and developing Ab Initio applications (Graphs) using GDE for purposes such as data validations, data extractions and rule transformations
  • Developing metadata principles, standards and governance processes
  • Creating data lineage and dependent diagrams and reports
  • Metadata management knowledge
  • Tomcat web applications management skills
  • A good understanding of database (Sybase/Oracle), SQL and procedures
  • Good communicator, good listener and comfortable in a confrontational situation
  • Relationship building, team player
  • Logical structured thinker
4

Senior Data Quality Analyst Resume Examples & Samples

  • Bachelor’s degree - focal areas of finance, economics, or accounting
  • 1-2 year direct experience in AML role or equivalent
  • Strong knowledge of corporate banking regulations and law
  • Exposure to credit analysis, credit management or treasury management
  • Strong knowledge of organizational offerings and business unit policies and objectives
  • Ability to work with high-level security access in a professional and ethical manner
  • Customer focus
  • Ability to use computer applications and database management tools including, but not limited to, MS Office programs
  • Ability to use internal Bank programs
  • Interpersonal skills used in a demanding team environment and for internal client interaction
  • Ability to independently manage multiple priorities and to proactively service multiple internal clients in a fast-paced environment
  • Ability to review, access, and provide detailed information daily as an independent thinker
5

Senior Data Quality Analyst Resume Examples & Samples

  • Provide Data Quality Oversight over inputs to the Commercial Risk Rating System
  • The Data Quality Analyst will review approximately 50 transactions per month. Each transaction will have approximately 35 – 45 fields reviewed
  • The Senior Data Quality analyst will focus on transactions with loan authorizations greater than $5MM, mostly in Business Banking and Commercial Banking. The Sr. Data Quality Analyst oversees data integrity for the entire Commercial portfolio of $33B
  • Prepare monthly quality control reports and supplemental monitoring
  • Participate in system enhancements projects related to the CCL suite, as needed
  • Monitor Data Quality through the use of portfolio level queries from Cognos
  • Advanced knowledge of Commercial Underwriting policies and Products
  • B.A. in Business or Finance, M.B.A preferred
  • Advanced knowledge of Bank systems including MRA, FACT, LTS, LTSL, DCU, APMS
  • In depth knowledge of Basel II requirements
  • Ability to prepare reports in Powerpoint, Word and Excel
  • Good Communication Skills
  • Ability to work independently with limited supervision
6

Data Quality Analyst Resume Examples & Samples

  • Analyzing existing attributes to establish who produces, maintains and consumes the data
  • Assessing criticality of data based on business impact
  • Documenting ownership, definition and other metadata
  • Gathering data quality requirements from the data consumers
  • Writing business rules applicable to each attribute
  • Analyzing data based on profiles
  • Creating reports to key stakeholders
  • Communicating with the global groups and following up on their data quality issues
  • Implementing tactical and strategic controls to improve data quality
  • 3-5 years of relevant professional experience in the field of database operation or data reporting
  • Knowledge of Informatica Data Quality (IDQ) a plus
  • Good organization and prioritization skills
  • Solid skills in Microsoft Office applications especially Excel
7

Senior Data Quality Analyst Resume Examples & Samples

  • The jobholder will be required to engage with and get buy-in from the stakeholders and business SME’s as well as interact regularly with other GB/GF Working Group members
  • Banking experience with good knowledge of investment banking and/or global markets
  • High degree of personal integrity
8

Edm Data Quality Analyst Resume Examples & Samples

  • This position will also work in close partnership with GECA’s cross-functional and segment teams to help design and execute on data quality solutions.Works cross-functionally to address specific data issues and to coordinate efforts between major initiatives
  • Activities include assessment, testing, monitoring, documenting, and communication with Business stakeholders, Analytics and IT teams
  • Identify and propose resolution of recurring Data Quality problems
  • Ensure Data Quality issues are identified, tracked, reported, analyzed and resolved in a timely manner, and determines if escalation is required while retaining ownership throughout
  • Develop and publish a set of metrics capturing Data Quality trends for a week, month, and quarter to ensure our Data Quality programs are working effectively
  • Develop active Data Quality monitoring and measurement, establishing and publishing KPIs and SLAs
  • Provide Data Quality advisory services participating in cross-functional teams and development or improvement task forces
  • Communicate with business stakeholders, client, and end user resources to identify project requirements, solutions, alternatives, and recommendations. Clearly defines, drafts and documents business and functional (system), and Data derivation/delivery requirements
  • Draft task and project timelines of Data Quality product solutions to collaboratively support the Data Analytics and Warehousing team
  • Drives continuous improvement to support growth, customer satisfaction and productivity
  • Collaborate across multiple business platforms and functions to achieve desired outcomes
  • Leverage knowledge of multiple functions to identify and propose potential solutions
  • Function as primary point of contact for the initiative or project and provides status updates to leaders and stakeholders on project status and defined deliverables
  • Utilizes expertise to facilitate and lead functional process improvement teams to deliver results for assigned areas of responsibility
  • Troubleshoots with team members to resolve obstacles/roadblocks, serves as a sounding board for problem resolution and ensures smooth, continuous progress on projects
  • Bachelor’s degree with a minimum of 3 years’ experience in a financial services, operations or customer service setting or High School/GED diploma with a minimum of 5 years’ experience in a financial services, operations or customer service setting or equivalent military experience
  • Must be 18 years or older
  • Must be willing to work out of an office in Norwalk/Danbury, CT or Chicago, IL, Eden Prairie MN, Billings MT or Irving TX
  • 2+ years relevant work experience in data quality and/or analysis
  • Working knowledge of financial and risk reporting processes a plus
  • Ability to identify, clarify and resolve project issues and risks, escalating them as needed
  • Excellent oral and written communication skills, interpersonal skills, as well as the ability to communicate to various levels of management
  • Excellent technical, analytical and problem-solving skills with a sense of urgency and commitment to accuracy and the ability to handle ambiguity
  • Ability to self-direct research, prioritizing and making recommendations for best sequencing of solutions
  • Ability to work on cross-functional teams
  • Ability to adapt to changing business processes, technologies, and environments
  • Continually seeks opportunities to increase process/system efficiencies, customer satisfaction and overall business improvement
  • LEAN Six Sigma trained and certified
  • A minimum of two years’ experience in a change-oriented role
  • Solid communication & presentation skills, ability to build and deliver effective presentations that are tailored to the needs of the audience, able to influence and gain consensus
9

Technical Data Quality Analyst Resume Examples & Samples

  • Proactively develop data quality initiatives to evaluate new and existing data attributes in GECC's centralized data warehouse
  • Understand GE Capital's risk data infrastructure and data lineage to identify opportunities to control, simplify and improve the risk data collection & aggregation processes
  • Manage the monitoring and improvement of data quality through support of data stakeholders
  • Support the data quality reporting and communication process including dashboards and scorecards
  • Communicate and document statistical analyses, methods and findings in a logical and understandable manner for internal and external audiences
  • Knowledge of relevant data science or operations research field with strong mathematical and statistical background
  • Demonstrated experience in high-profile, dynamic projects with multiple constituents, and involving technology development
  • Proficient in software applications such as Excel, Word, Access, Power Point, Business Objects, Spotfire, Data Flux, Adaptive, SAS, etc
  • Experience in operations research, statistical modeling, simulation or deep data mining in specific domains
  • Experience in data engineering, pattern recognition and learning, advanced computing, uncertainty modeling, data warehousing, high performance computing, business analytics
10

Data Quality Analyst Resume Examples & Samples

  • Troubleshooting / Problem Solving: Demonstrate effective troubleshooting procedures to resolve technical issues with inventory, images, and data load processes. Use rigorous logic and methods to solve difficult problems with effective solutions. Analyzes issues to look past the surface and the first answer to identify hidden problems
  • Reporting: Develop and maintain tools and reports for monitoring daily data loads; develop ad-hoc reports as required using applications, such as Access and Excel. Demonstrate ability to translate data into meaningful metrics that can be used to analyze efficiency and quality
  • Training / Documentation: Provide support and training for AutoTrader.com and 3rd party vendors on ATC inventory processes and standards. Create and maintain technical documentation; provide on-the-job training for the Inventory Tech Support team
  • Working Across Teams: Establish and maintain partnerships with ATC service and support organizations, including Dealer Operations, Dealer Support, Product Management, National Accounts, IT, and Sales. Establish and maintain partnerships with ATG business units as well
  • Communication: Demonstrate strong written and verbal communication skills, interacting with fellow staff members, management, sales, vendors, ATG business units, and ATC customers
  • Decision Making: Able to take action in solving problems while exhibiting judgment and realistic understanding of issues. Ability to use good reason, even when dealing with ambiguity. Use troubleshooting processes to effectively arrive at decisions
  • Continuous Improvement: Demonstrate continuous effort to improve operations, decrease turnaround times, and streamline work processes; focus on creativity to define new solutions
  • Product Knowledge: Ability to become proficient in AutoTrader.com products and data load processes. As well as an understanding of Dealer Management Systems (ADP, Reynolds) and ETL processes
  • Change Management: Flexibility to adjust to change. This includes changes in organization, duties, and responsibilities. Additional responsibilities may be delegated to the Data Quality Analyst in order to assist the department and company to meet stated objectives
  • Experience with UNIX, SQL, FTP, Access, HTML and MS Office
  • Proven ability to organize and prioritize daily tasks and complete projects with little or no supervision
  • Minimum of 3+ years of experience in working with online inventory/dataload systems
  • Experience using tools such as Putty and Pl/SQL Developer to interface with databases
  • Ability to handle multiple, competing priorities and manage time effectively to deliver results in a fast-paced environment
  • Ability to learn and adapt from experience, feedback, exposure, and mistakes
  • Previous customer service experience preferred
  • Requires attention to detail and focus on quality in delivering results
  • Ability to adapt to change and acquire new application user skills
  • Knowledge of automotive industry is preferred
  • Knowledge of Customer Relationship Management (CRM) systems a plus
  • Bi-Lingual is a plus
11

Data Quality Analyst, Project Employee Resume Examples & Samples

  • Create test plans, test cases, test scenarios and test strategies
  • Defect management to ensure Quality Assurance and to ensure data validation
  • Experience developing SQL queries to validate data such as checking duplicates, null values, truncated values and ensuring correct data aggregations
  • Bachelor’s degree in Computer Science or related field preferred; minimum 2 years database experience with strong knowledge of technical and analytical tools relating to database development, maintenance and documentation
  • Strong SQL skills required
  • Experience with writing SQL on Sybase ASE preferred, SQL Server and/or Oracle a plus
  • Strong knowledge of Software Development Life Cycle (SDLC - Feasibility Requirements Analysis, Design, Testing, Implementation, Support)
12

Data Quality Analyst Resume Examples & Samples

  • Work closely with project stakeholders to understand and document business objective, needs and requirements
  • Identify data, system capabilities and business process risk issues that might impact project delivery
  • Perform indepth analysis to identify root cause and assist in the design and implementation of target state Risk data, process and technology architectures
  • Work with CRO IT to conduct functional testing of deliverables to ensure all requirements are accurately delivered
  • Organise and participates in user acceptance testing and testing of new system functionality
  • Conducts change impact analysis to assess and document the potential implications
  • Develop communication and training plans and conduct formal training sessions to prepare impacted stakeholders for project rollout
  • Analytical skills, numerically competent
  • Business analysis and functional specification design
  • System implementation/ projects and testing experience
  • Understand data flows, business processes, financial products and credit risk management
  • Proficiency in MS Excel and MS Access
  • SQL/VBA skills (preferred)
13

Data Quality Analyst / Developer Resume Examples & Samples

  • Installing, maintaining and supporting Tomcat web applications
  • Administrating Ab Initio user accounts, entitlements and accesses
  • Designing and developing MDR navigation screens, object views, reports and lineage/dependent diagrams
  • Creating data quality rules in ACE/BRE
  • Working with the complete software development life cycle and providing production support for the metadata repository
  • Providing training on the metadata tools to the team
  • Unix shell scripting skills
  • Metadata development experience writing data harvesters
  • Ab Initio software architecture and implementation knowledge and experience
  • Unix administration skills
  • Development skills using GDE and Express>IT
  • A good understanding of XSD, ETL (Informatica) and replication technologies
  • Works under own initiative
  • Persuasive
14

Data Quality Analyst Resume Examples & Samples

  • Develop an in-depth understanding of the interrelationships of data and multiple data domains
  • Identify and document data flow paths and processes
  • Develop and perform standard queries to ensure data quality, identify data inconsistencies, missing data and resolve as needed
  • Standardise data naming and data definitions
  • Perform data extraction, storage, manipulation, processing, and analysis
  • Work with multiple (business and IT) teams to establish fit for purpose data quality controls in upstream systems
  • Work with the business to secure cooperation in improving the processes and procedures to assure data quality
  • Understand the role of regulation in the financial markets and its implication for information management
  • High aptitude in analytical and logical thinking
  • 3 years + of demonstrated experience in data analysis, data manipulation and master data management
  • Demonstrated experience with data models and data mapping including Entity-Relationship Diagrams (ERD), Sequence Diagrams, and Data Flow Diagrams (DFD)
  • Demonstrable knowledge of data and database principles, data profiling, data quality and Meta data management
  • Understanding of XML, Data Modelling Language (DML), and Data Definition Language (DDL)
  • Strong communication skills, both written and spoken
15

Data Quality Analyst Resume Examples & Samples

  • Three plus years of data analytical and/or data quality experience
  • Ability to communicate effectively with both systems technology and business staffs
  • Working knowledge of MS Office and Business Objects
16

AVP, Data Quality Analyst Resume Examples & Samples

  • Ability to work independently and take personal initiative
  • Knowledge of Ab Initio or other data quality/data management tool is a plus
  • Data Quality / Data Management / Quality Management certification also a plus
17

Data Quality Analyst Resume Examples & Samples

  • Analytical, process, and problem solving skills
  • Information architecture
  • Defining new metrics
  • Agile methods
  • SQL query writing
  • System analysis
  • Establishing partnerships
  • Enthusiastic, clear, and concise communicator
  • Translate technical speak in business terms
18

Data Quality Analyst Resume Examples & Samples

  • Data Quality Assessment: Establish and maintain metrics for Data attributes e.g validity, consistency, integrity, completeness, accuracy, availability, timeliness, etc. Define targets for these metrics
  • Establish automated reporting/alerting of the above metrics
  • Data Profiling: Identify data gaps and errors. I.D. data gaps, anomalies, inconsistencies and redundancies by analyzing the content, structure and relationships within data
  • Develop methods for mitigating data issues. Deploy these methods in order to correct these issues, resulting in a “clean” dataset for use in downstream analytics
  • Establish / Maintain Standard work governing use of data
  • Ensure data continuity
  • Define requirements for new data elements, establish new connections
  • Communicate / Document data usage guidelines to stakeholders
19

Data Quality Analyst Resume Examples & Samples

  • Work with Data Stewards and subject matter experts to research reported data anomalies, identify root causes, and determine solutions
  • Work with data source systems and target systems to identify data issues, data gaps, identify and recommend solutions
  • Perform data modeling and data analysis as required
  • Create, define, and maintain data life-cycle documentation representing data elements across multiple upstream and downstream systems
  • Proactively communicate and collaborate with external and internal customers to analyze information needs
  • Act as liaison between the business units, technology teams and support teams
  • Continual consulting on issues as solutions are implemented
  • Bachelors degree preferred: Strong PC Skills required including MS Office
  • 1 + years business analysis experience
  • Previous audit experience a plus
  • Proficient skills in MS Office, MS Access and SQL/ Oracle utilizing TOAD/TeraData
  • Process flow analysis
  • Well developed communication and presentation skills
  • Ability to work independently, providing structure in ambiguous situations
  • Develop partnerships with team members and peers
  • Solid understanding of software development life cycle and associated controls
  • Mortgage Banking experience is preferred
20

Senior Data Quality Analyst Resume Examples & Samples

  • Analysis
  • Identify and define validation and monitoring logic to ensure that data anomalies are detected and contained within thresholds
  • Performs all business intelligence analysis and data exploitation. Extracts signals and signatures from raw data, integrates that information with other data sources and compiles/disseminates formatted reports to customers
  • Recommends improvements to competitive business intelligence reports and interpretation of data by sales, business development, product, and executive committees
  • Plans and executes system testing. Requires knowledge of the customer's mission and technology used to accomplish a given task
  • Leads the analysis and reconciliation of data and reporting projects and initiatives delivery
  • Develops, maintains, and reports all relevant product, site, and customer metrics and applies findings to develop appropriate goals and projections
  • Trains others throughout the organization in using key analytical and forecasting tools and statistical analysis
  • Ability to design and implement data quality metrics
  • Ability to apply the principles of data quality standards
  • Knowledge of databases, included big data technologies
  • Excellent data analysis skill
  • BPMN 2.0 experience is a plus
  • FMEA (Failure Modes and Effects Analysis) experience is a plus
  • Six Sigma Green Belt is a plus
  • Knowledge of account, device, service, operations and marketing domains
  • Exposure to the following a plus: SAS, Informatica, Tableau, Metric Insights
21

Data Quality Analyst Resume Examples & Samples

  • Supporting the MHE Business Units in maintaining item attributes within an Oracle database
  • Analyzing data requests and anticipating problems prior to their setup
  • Item maintenance and setup with the use of Data Loader processes
  • Supporting all MHE Business units as well as Customer Operations in running of SQL queries and Data Loaders within Oracle databases
  • Participating in testing and project work that impacts item functionality within Oracle databases
  • Performing research and analysis on system issues and working with management and IT to develop solutions and implement
  • Reviewing department policies and procedures on a regular basis to improve efficiencies and data integrity
  • Identifying new methods and technology to enhance current processes
  • Fluent in Oracle administration
  • Knowledge of SQL required
  • Experience with Data Loaders
  • Knowledge of Microsoft Word and Excel
  • Knowledge of Microsoft Access preferred
  • Good testing, technical and analytical skills
  • Ability to manage multiple tasks with conflicting priorities
  • Demonstrated self-starter /ability to make a judgment and decision on how to resolve issues
  • Ability to remain professional with the customer
  • Ability to reference and follow written/online procedures
22

Senior Data Quality Analyst Resume Examples & Samples

  • Execute consistent and robust governance and control processes and procedures; by leading efforts to deploy common data governance processes around across Consumer and Commercial Bank
  • Lead efforts to ensure that business process models and data profiling results are valid for critical data elements
  • Lead efforts between Risk executives and functional teams to build out dashboard and scorecard for Data Integrity Office
  • Partner with Internal Audit and Accounting for finance taxonomy and general ledger alignment
  • Lead the efforts to ensure strong industry benchmarking is in place and results are assessed daily for further improvement opportunities for data within the US Consumer and Commercial Bank
  • Lead data quality training to members of the organization; and,
  • Support internal data re-engineering project(s)
  • Advance knowledge and use of AFS, IMPACS, LoanPath, CMOS, Para-Lender, and CAT; and,
  • Comfortable using Web-Based Systems
23

Senior Data Quality Analyst Resume Examples & Samples

  • The person will be responsible for leading the resolution of Data Quality Issues (IMRs) for Finance interfacing with the ICG business
  • This is a high visibility, highly impactful role that provides support for critical regulatory initiative
  • Effectively manage Ad hoc requests, upcoming projects, status preparation and communications for deliverables
  • Develop strategies to address Global Function IMR bottlenecks within the reporting team to improve tracking and delivery timing, outdated materials, and stay on top of current trends and future topics of interest
  • Ensure that timely and accurate updates are made to each IMR under management
  • Ensure that the system impact for any related systems are taken into effect in the change management process prior to implementation
  • Strategically define the vision for the Global IMR process. Proactively advances integrated global IMR vision, concepts and use of information technology
  • Develop strategies to reduce costs, manage risk, and enhance services
  • Use of influence skills and matrix management skills in order to ensure IMR solutions meet business requirements
  • Activities include logging/documenting as required to meet Regulator needs and be audit ready
  • Bachelors Degree
  • 5-10 years’ experience in reporting and data analytics
  • Experience working in a high demand environment
  • Excellent written and verbal communication skills, analytical skills, including the ability to prepare recommendations that will help drive decisions
  • Excellent Skills with Microsoft office products a Must (Excel, PowerPoint, MS Word, MS Project, etc.)
  • Must be a self-starter
  • Knowledge of the following banking products: Deposits, Loans, Derivatives and Securities, and knowledge of Citi systems in ICG will be a plus
24

Data Quality Analyst Resume Examples & Samples

  • Works with Business SMEs to identify and provide recommended resolutions for data quality issues identified by: interrogating legacy data/data profiling, identification of business rules to support requirements and mappings, trial conversions and testing
  • Interfaces with technical source and target system SMEs to guide solutions where an automated remediation is required
  • Interfaces with Business remediation SMEs to guide solutions where manual activities are required
  • Utilises DQ tools, such as Information Analyser (IA), to support DQ issue identification, establish baselines and on-going rules and reporting
  • Supports DQ Lead to produce on-going DQ scorecards and reporting
  • Responsible for creating the business and IA rules
25

Data Quality Analyst Resume Examples & Samples

  • Monitor and suggest actions to improve the quality, accessibility, and security of enterprise data assets
  • Provide a high level of data quality awareness across multiple organization levels (manager, individual contributor, own team, IT, business partners)
  • Proactively work toward improving data quality and consistency in reporting and customer-facing systems
  • Evaluate and identify where system enhancements may be required
  • Build quality and integrity reports as needed
  • Manage data profiling activities
  • Identify and raise visibility to data redundancy
  • Participate in metadata management activities
  • Collect business requirements for efforts focused on data quality/integrity/security improvement
  • 1-3 years working in a data-related field (preferred)
  • Can complete tasks that are varied and require independent judgment
  • Can develop/design solutions based on established design with little guidance from others
  • Can create documents w/peer review
  • Troubleshoots moderately complex problems and recommends appropriate action
  • Evaluates risk potential and recommends solutions
  • Involved in projects as a contributor
  • Understands and applies functional area’s strategy
  • Excellent interpersonal and communication skills
  • Meticulous and detail-oriented
  • Able to quickly learn new tasks/data
  • Able to understand and explain data and related concepts
  • Comfortable presenting information to small/mid-size groups
  • Ability to work calmly under pressure
  • Strong character, team player, flexible
  • 4 year degree in Computer Science, MIS, or equivalent
26

Data Quality Analyst Resume Examples & Samples

  • Enforce the Synchrony Financial data management policy and standards
  • Recommend, design, implement and monitor data quality procedures
  • Report on data quality assurance / production performance metrics
  • Establish and monitor service level agreements, communication protocols with data suppliers, and data quality assurance policies
  • Provide data quality training and presentations to members of the organization
  • Document the DQA's contribution to other projects
  • Participate in cross-functional teams
  • Bachelor's Degree and a minimum of 2 years of IT experience OR in lieu of a Degree, High School Diploma/GED and a minimum of 4 years of hands on, mixed experience in technology and process excellence
  • Minimum of 2 years of experience with Data Management, Data Governance or Data Quality in banking or financial services
  • Minimum 2 years of experience using data quality tools such as: Informatica, Ab Initio
  • Broad understanding of banking, credit card, payment solutions, collections, marketing, risk and regulatory & compliance
  • Experience using data governance tools such as: Collibra, Adaptive
  • Proficient in writing / understanding SQL
  • Intermediate to advanced MS Office Suite skills including Power Point, Excel, Access, Visio
  • Strong relationship management and influencing skills to build enduring and productive alliances across matrix organizations
  • Experience in partnering with a diverse team composed of staff and consultants located in multiple locations and time zones
27

Data Quality Analyst Resume Examples & Samples

  • Requirements Analysis: Knowledge of activities, tasks, practices and deliverables associated with eliciting and clearly defining and documenting required business functionality as well as information requirements
  • Oral Communications: Ability to express oneself and communicate with others verbally, recognizing that verbal communication is more than just language - it includes tone, style and structure
  • Written Communications: Ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation
  • Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems
  • Interpersonal Relationships: Knowledge of approaches, tools and techniques for working with individuals and groups in a constructive and collaborative manner
  • Decision Making and Critical Thinking: Knowledge of tools and techniques for effective use of a broad range of factors, assumptions, frameworks and perspectives when solving problems
  • Consulting: Knowledge of approaches, tools, techniques and roles and responsibilities in providing technical or business guidance to clients within and outside own area
28

Senior Data Quality Analyst / Rules Builder Resume Examples & Samples

  • Good understanding of Project Management, Software Development Life Cycle and documentation/technical writing techniques
  • Experience coordinating with other teams/resources
  • Ability to collaborate effectively within the team as well as with cross-functional team members
29

Hrss Data Quality Analyst Resume Examples & Samples

  • Review error reports from HR systems to identify and then resolve data quality issues
  • Reconcile data between HR source system and strategic data repository or downstream system
  • Research and resolve various HR requests (i.e. updates cannot be saved, add new codes, incorrect data needs to be corrected)
  • Coordinate with partner teams to implement data standards
  • Participate in Team Meetings, Issue Monitoring & Resolution (IMR) review calls, and other HR Data Quality Forums
  • Strictly adhere to Risk & Control policies and procedures
  • Provide informal guidance or on-the-job-training to new team members
  • Create, maintain or update data quality manuals, process documents and training guides
  • Complete all tasks in connection with the organization’s activity but not detailed in the current job description, charged by the direct manager, supervisor, or the functional head
  • 2+ year’s work experience in an operations and technology related capacity supporting or partnering with HR
  • Knowledge of HRMS processes is preferred
  • English language knowledge is a must
  • Demonstrate multi-tasking ability, analytical skills, problem solving skills and a consistent record of on-time delivery
  • Provide high quality updates and problem resolution via phone and email
30

Data Quality Analyst Resume Examples & Samples

  • Bachelor's degree from four-year College or University
  • 3-5 years experience in data stewardship, data quality, or data governance
  • Self-directed
  • Strong communicator – able to explain complex technical situations to relatively non-technical co-workers and key business stakeholders
  • Solution oriented mindset – creative use of technology and alternative approaches. “No” is not in your vocabulary
  • Equally at home working with creative, business, and technical people
  • Cool under pressure, able to manage many details and priorities
  • Focus on broad expertise
  • Natural curiosity, always excited to learn
  • Talk and hear
  • Use hands and fingers to organize, place and move workflow
  • Read, write, type and comprehend text
  • Visually observe objects up close and at a distance
  • Effectively communicate and interact with others
  • Use reasoning and solve problems through analytical deduction
31

Senior Data Quality Analyst Resume Examples & Samples

  • Accounting of Finance Degree
  • 10-15 years of Financial Services Industry
  • 5 years of audit (public & internal) experience
  • Strong Key Banking Product Knowledge
  • Proficiency with PC applications
  • Advanced proficiency with Excel and concept of F2B system flow
  • US Regulatory reporting knowledge
  • Accounting and finance knowledge
  • Strong writing and communication skills
  • Ability to develop solid business requirements and technical specifications for systems implementations
  • Strong learner
32

Data Quality Analyst PSE Resume Examples & Samples

  • Daily variance monitoring of PSE (OTC/SFT) at product and facility level
  • Analysis of unreasonable movements, liaising with third party teams where necessary to resolve issues
  • Communicating issues identified to impacted parties
  • Monthly variance monitoring of PSE (OTC/SFT) at product and facility level
  • Produce monthly PSE (OTC/SFT) pack
  • Monitor daily and month end output from the PSE server to determine changes to pass/fail rate
  • Work with business, technology and risk analytics groups as a stakeholder to deliver quality projects
  • Provide training and guidance to other team members
33

Cdo-data Quality Analyst Resume Examples & Samples

  • 3+ years of experience with enterprise systems support, systems operations or technical/business analyst
  • Experience with Ab Initio (ETL, ACE, BRE, MHUB), Unix, Linux, MicroStrategies, SQL, Business Objects, and MS Office Suite
  • Knowledge of Financial Services Industry and Data Quality principles and practices
  • Proven ability to ask probing questions and obtain thorough and relevant information
34

Lead Enterprise Data Quality Analyst Resume Examples & Samples

  • Identify Data Quality, business process gaps and improvements opportunities using data to build business value propositions and business cases
  • Consult with Data Stewards to collect, publish business terms and business rules
  • Provide advice and insight on improving data quality and metadata with the business and tech teams
  • Support Data Sprints
  • 5-7 years of Data Management, Metadata and Data Quality experiences
  • 3-5 years of consultant experiences (internal or external)
  • 3-5 years business process improvement and continuous improvement execution
  • Data Sprint and Data SWOT hands-on experiences
  • Knowledge of data structures, management and analysis techniques
  • Experience combining data from multiple sources when needed for the analysis
  • Experience leading the effort to create use cases, business cases and identify data improvement opportunities
  • Lean Six Sigma (Green Belt or Black Belt)
  • Strong Domain knowledge in Finance and Client Interactions
  • Typically 4-6 years of experience in data management, application development, metadata, systems technology analysis, with an understanding of current technologies
  • Ability to handle multiple tasks and to work independently as well as in a team, experienced in interacting with Business/Technology group
35

Rohq-cto-cdo-data Quality Analyst Resume Examples & Samples

  • Databases like ORACLE, MS Access, or SQL
  • New analytical tools
  • Possess basic knowledge in fields of compliance, financial services and banking
  • Proficient with data management policies, procedures and common technical tools
36

Data Quality Analyst Resume Examples & Samples

  • Stakeholder Engagement capture business rules and filtering unique to data use and business decision making
  • Profiling
  • 3+ years of relevant employment experience
  • 3+ years writing technical requirements and business logic
  • 3+ years process documentation and depicting data lineage
37

Data Quality Analyst Resume Examples & Samples

  • Performing or assisting with the performing of reconciliations of static data between systems and between our systems and externals sources
  • Conducting investigations into breaks and identify the reasons behind the breaks
  • Conducting investigations and make recommendations as to the changes in static data that will need to be made
38

Data Quality Analyst Resume Examples & Samples

  • 5+ years relevant experience
  • Data quality business process improvement experience
  • Cooperative problem solving mindset
  • Able to work well across multiple functional areas
  • Solid understanding of business strategy and IT landscape
  • Demonstrated ability to succeed in a fast-paced, rapidly changing business environment
39

Data Quality Analyst Resume Examples & Samples

  • Performing analysis of large, complex data sets to support vast Data Quality initiatives across the Bank (transaction, reference, client, finance and risk data etc)
  • Contributing to the analysis of master data requirements, data integration, and performing data mapping activities
  • Discovering and profiling data and mapping the data through complex processes to understand how it is used
  • Analyzing rule results and performing analysis / root cause analysis / proposing solutions to improve data quality
  • Focusing on identifying the underlying data issues using the right Data Quality tools
40

Data Quality Analyst Resume Examples & Samples

  • Partners with various business groups to develop and improve data analysis procedures and reporting as applicable to the support of ongoing work
  • Generates ad hoc reports and regular datasets or report information for end-users using system tools and database or data warehouse queries
  • Works with, supports, and is accountable to Senior Management for disseminating and summarizing information into a format that can facilitate high level decision making processes
  • Responsible for effective communication to all business partners and users to ensure successful remediation of issues and adherence to delivery schedules
  • May analyze and make recommendations on business, technology, and process improvement opportunities
  • Provides exceptional customer service pertaining to data requests, reporting and deadlines
  • LI-JM1
  • Bachelor’s Degree in Business, IS, Computer Science or a related field required
  • 5+ Years of data analytics/functional/professional experience
  • Excellent written and verbal communication skills for report writing, business requirement proposals, client interaction, and methodology documentation
  • Strong analytical and problem-solving skills coupled with thoroughness and attention to detail is highly desired
  • Ability to analyze data integrity problems while prioritizing and managing multiple tasks
  • Technical skills to manipulate and analyze data in a variety of formats (e.g. SQL, Access, Oracle, Macros, Excel)
  • Experienced with Excel, PowerPoint, and Visio
  • Provides recommendations to streamline tasks and create a more efficient working environment
41

Lead Data Quality Analyst Resume Examples & Samples

  • Establish knowledge transfer sessions and identify opportunities to expand the adoption of Data Governance, Data Quality and Metadata capabilities to the Company
  • Analyze/interpret data requirements and perform current/target/gap/impact analyses
  • Articulate business data needs, gaps, impact across all areas and proposals to close gaps
  • Identifying data anomalies and communicating back to the data stewards
  • 7 + years of Data Management, Metadata and Data Quality experiences
  • Knowledge of structured data, such as entities, classes, hierarchies, relationships and metadata
  • Excellent team player with good organizational, communicational, analytical and logical skills
  • A minimum of a bachelor of science in Computer Science, Math, CIS/MIS or equivalent degree from an accredited four year institution
42

Data Quality Analyst Resume Examples & Samples

  • Supports Instrument Reference data DQ and content inquiries from the business
  • Manage adoption of new consumers to golden source of instrument reference data within Equities technology
  • Review data quality issues opened for the DQ team and check data from various sources and validate the issue
  • Make manual changes to the data using UI or SQL once the issue is valid
  • Build proactive data quality checks to ensure data is accurate and timely and maintain metrics to track performance against common benchmarks
  • Maintain and track data quality issues assigned to upstream systems such as enterprise data or data vendors or exchanges to resolution
  • Responsible for governance of Service Delivery including SLA adherence and issues/incidents
  • Reviews performance against SLAs / KPIs and directs appropriate interventions to address and meet changing client needs and business priorities
  • Establishes and operates within the governance (decision making) structure for the program/project and manage/escalate issues and risks
  • Foster relationship with the enterprise data management and operations team and continue to enhance the engagement model between the enterprise and LOB-aligned data teams
  • In-depth understanding of Instrument reference data from front office to back office of investment banks
  • In-depth understanding of all asset classes for Cash Equity, Listed Derivatives and Indices
  • Experience with instrument data feeds and attributes from Reuters and/or Bloomberg
  • Experience in Corporate Actions, Symbol Changes, IPO Calendars, FX Cross rates, end of day prices and Trading Calendars
  • Experience in data mining using Oracle SQL
  • Experience in Microsoft Excel and Powerpoint
  • Bachelors Degree from an accredited college or university with a concentration in Business, Economics or Computer Science (or equivalent Business Analysis certification and/or relevant work experience
  • Years of Experience Required 2 years
  • The role provides a good opportunity to join a front office technology team that supports the equities business for a top tier investment bank. The role will be working on a multi-year strategic project to simplify and improve foundation reference data services that underpin the bank's equities trading platform
43

Data Quality Analyst Resume Examples & Samples

  • Independently responsible for supporting the MHE Business Units in maintaining item attributes within an Oracle database
  • Support all MHE Business units as well as Customer Operations in running of SQL queries and Data Loaders within Oracle databases
  • Participate in testing and project work that impacts item functionality within Oracle databases
  • Perform research and analysis on system issues and work with management and IT to develop solutions and implement
  • Review department policies and procedures on a regular basis to improve efficiencies and data integrity. Identify new methods and technology to enhance current processes
  • Maintaining Depository item assignments within EBS Oracle
  • Participate in scheduled meetings with MHE Business Units to offer solutions and technical support
  • Provide monthly statistics to management
  • Keep current with departmental best practices and business rules
  • Learn new technologies as necessary
  • Engage in special projects as assigned
  • Knowledge of Microsoft Access
44

Data Quality Analyst Resume Examples & Samples

  • Knowledge of Data Warehousing concepts and processes
  • Knowledge of Structured Query Language (SQL) (necessity)
  • Knowledge of SAS (optional)
45

Ccb-risk-senior Data Quality Analyst Resume Examples & Samples

  • Guiding a staff of technical analysts who will work with business SMEs to define, author, code, and implement advanced data quality rules
  • Communicating data quality monitoring results to senior management
  • 5+ years experience in Risk data analytics, data management, or data quality at a large firm
  • Strong knowledge of Database and Data Modeling concepts; expertise in data usage in management reporting, modeling, or analytics
  • Expertise in SQL or comparable coding language
  • Experience in applying data quality rules and data quality monitoring across complex data environments
  • Strong organizational skills and a proven track record in delivering projects across multiple lines of businesses or functional groups
  • Strong interpersonal skills to build effective, collaborative, cohesive relationships across all levels of organization
  • Excellent communication skills (verbal and written), including ability to succinctly advise senior management of risks, challenges and potential solutions; ability to construct effective management presentations on complex analyses and operational performance
46

Assoc Data Quality Analyst Resume Examples & Samples

  • Requires Graduation degree
  • Master degree would be an added advantage
  • Valid experience of 2 – 4 years in CRM (Customer Master Data)
  • Proficient in MS Office with thorough knowledge of Excel & Macros
  • Experience with Oracle preferred
  • Experience with CRM software preferred
  • Excellent communication skills - Flexibility in handling changing priorities
  • Knowledge of Visual Basics, would be an added advantage
47

Senior Data Quality Analyst Resume Examples & Samples

  • High school diploma or GED required. Some college preferred
  • Knowledge of multiple types of data formats and file structures
  • Ability to follow and develop data quality standards, metrics and audit procedures
  • Tenacity for solving detailed issues
  • Knowledge of MS Word and Excel
48

Data Quality Analyst Resume Examples & Samples

  • Researches and identifies data quality issues reported through the Client or found through Implementation of new file and work with client to create a resolution
  • Provides consulting and support to clients as they work toward data solutions for existing services
  • Analyzes data in test and production environments
  • Review historical integrity of data in production database for client
  • Manages the technical implementation of new data feeds for The Work Number and UCM services with existing Workforce Solutions clients, testing data with client for accuracy and data quality concerns
  • Initiates and tests resolutions, ultimately resolving issues in production environment
  • Assists in client specific proactive client data initiatives
  • Researches, coordinates, and executes the transfer of new data feeds or data corrections with clients to ensure that continuity and level of service are maintained
  • Communicates the value of services to clients through a high level of understanding of Workforce Solutions services and the available data and configuration options
  • Carries the ultimate responsibility for the success of a client’s implementation while operating in a cohesive team environment
  • Advises management of customer acceptance of existing products and services and makes recommendations on enhancements or new services based upon client input
  • Partners with the Operations department, Product Management team, and Product Development department for technical matters and problem resolution of any client issues
  • Bachelor’s degree and 4+ years of successful business experience
  • Must have basic knowledge or experience with project life cycle and methodology
  • Proficiency with the Microsoft Office suite and other common desktop applications
  • An entrepreneurial spirit, the ability to handle multiple projects concurrently and function in a fast-paced, demanding, high growth environment, and be client service-oriented
  • Highly developed sense of integrity and commitment to customer satisfaction
  • Ability to analyze problems and determine solutions using creative problem solving – no two response plans are exactly alike
  • In depth experience with processing payroll and/or payroll department processes is a plus
49

Cambrian Data Quality Analyst Resume Examples & Samples

  • Collaborate extensively with D&A and Technology to design automated operational metrics that monitor data quality in Cambrian
  • Ensure quality, coverage, accuracy of data in Cambrian by performing quality assurance activities
  • Validate data quality content in conjunction with respective data stewards by developing reports and tools to monitor and visualize data
  • Collaborate with global partners to institute data quality programs in global Cambrian instances
  • Perform tasks in support of data management of new data sources loaded to Cambrian
  • Maintain a balance of quality and speed in all activities to provide greatest value to analysts seeking to explore data assets
  • Develop and communicate information regarding Cambrian data quality for use by D&A
  • Consult and demonstrate best practices for using data in Cambrian
  • Develop business requirements for data handling
  • Perform issue diagnostics, develop data corrections plans and execute plans to completion
50

Senior Big Data Data Quality Analyst Resume Examples & Samples

  • Bachelor's degree or equivalent work experience in a data related area
  • At least 6 years of hands-on experience with business and data processes across multiple data domains in support of data quality
  • Expertise in data quality analysis, defining data quality rules and appropriate KPIs and metrics for reporting
  • Strong understanding of data modeling and data quality concepts
  • Unix
  • SQL/PL SQL
  • Mainframe - TSO/ISPF, File Manager, COBOL copybooks
  • Data Discovery/ Analysis
  • Data Quality enablement technologies e.g., IBM InfoSphere Information Analyzer, Informatica Analyst, Toad
51

Junior Data Quality Analyst Resume Examples & Samples

  • Tertiary qualifications (open to fresh graduates)
  • Concern for quality and standards – ensures accuracy of own work
  • Demonstrated ability to function both in a team environment and autonomously
  • Succeeding through Collaboration – cooperates with others
  • Ability to react positively to changing circumstances and pressure situations
52

Data Quality Analyst Resume Examples & Samples

  • Bachelors of Science/Arts required. Masters degree (MPH, Biostatistics, Social Sciences, or other relevant fields) preferred
  • At least 3 years of relevant experience in clinical research, quality control, and/or data management
  • A strong understanding of regulatory requirements and best practices related to the conduct of human subject research (e.g., FDA regulations, ICH GCP) is required
  • Experience with electronic data capture systems and electronic case report forms (InForm preferred)
  • Exceptional knowledge and/or experience in research methods, database design and programming are preferred
  • Visa sponsorship is not available for this position
  • In addition to the above, has progressed to performing larger and more complex projects independently
  • Demonstrates significant database management expertise, a strong understanding of internal procedures and the relationship between connected systems and databases (e.g.InForm, OnCore, Epic, BOE, COE)
  • Able to provide input on and assist the Data Quality Manager in drafting and revising departmental work instructions
  • Able to generate high-level reports and lead projects to completion
53

Data Quality Analyst Resume Examples & Samples

  • Document existing data structures and process flows
  • Demonstrate understanding of data modeling concepts
  • Analyze and document process from obtaining data from multiple locations such as different data lakes
  • Create, write, and understand queries
  • Organize, sort, and filter data to distinguish patterns and recognize trends
  • Work with data source providers to understand and document data - databases, tables, fields, and values
  • 3+ years of experience with relational database and data base structure
  • 2+ years of experience with SQL databases, creation SSIS jobs and stored procedures
  • Strong reporting background in a healthcare roles
  • Understanding of Big Analytics data governance and management practices
54

Senior Data Quality Analyst Resume Examples & Samples

  • Identify, document, and resolve data quality issues related to business data
  • Work closely with business analysts, applications development, and subject matter experts to translate business objectives into practical data quality business rules/requirements
  • Validate that data systems meet design specifications and requirements using SQL querying of the data
  • Identify data quality scope from system specifications and ensure the right coverage when it comes to validating the data against such specifications
  • Determine data quality improvement recommendations as well as process improvement recommendations for the source systems
  • Collaborate directly with the business data owners and business analysts to establish the quality business rules that will provide the foundation of the organization's data quality improvement plan
  • Utilize data profiling to uncover data issues and perform a rules based assessment of data
  • Help the business owners implement a root cause analysis process for issues discovered during data quality assessment
  • Collaborate with the Data Warehouse team to develop data quality scripts to apply to the ETL process based on the business rules defined by business data owners
  • Work to develop data quality improvement reporting, dashboards
  • Gather metadata/documentation from source systems
  • Articulate the need for and benefits of data quality to both IT and the business
  • 3+ years SQL / PL SQL knowledge
  • Experience with more than one relational database types
  • Ability to identify sets and subsets of information across multiple joins or unions of tables
  • Demonstrated ability to effectively participate in multiple, concurrent projects
  • Expertise in database testing in relational database environments including designing and manipulating test data, validating stored procs, jobs, relationship constraints
  • Strong understanding of data modeling concepts
  • Available locations: Eden Prairie/Twin Cities, MN; Basking Ridge, NJ; Rocky Hill, CT
  • Experience with Data Quality tools like Global ID, Trillium, Infosphere, etc
  • Knowledge and experience with healthcare domain
  • Knowledge of and experience working with big data technologies
  • Experience with tool driven Data Profiling
  • Experience analyzing and drawing valuable conclusions from the data profiling results
  • Familiarization with RSA process and agile methodology
  • 2+ years of experience either in a developer or a QA
55

Senior Data Quality Analyst Resume Examples & Samples

  • Perform as a Subject Matter Expert on Data Quality to identify, document, and resolve data quality issues related to business data
  • Lead building and monitoring of Data Quality rules on various ODM data warehouses and assets
  • Mentor a team of data analyst both local and remote with openness to lead resources in the future
  • Ensure reporting, monitoring of data and follow-up with operational teams is accomplished according to ODM guidelines and SLA's
  • 5+ years overall experience within information technology
  • Ability to understand business process flow and translate that into data quality measurement requirements
  • 5+ years data analysis experience
  • Demonstrated ability to effectively participate in multiple and concurrent projects
  • Ability to work in one of the following locations: Basking Ridge, NJ; Raleigh, NC; Twin Cities, MN; Boston, MA; Austin, TX
  • Experience utilizing data quality tools such as: Global ID, Trillium, Infosphere, etc
56

Data Quality Analyst Resume Examples & Samples

  • Produce, communicate, and support the remediation of data and/or process quality
  • Develop, implement and maintain the Analytics Data Dictionary
  • Drive consistent definition, creation, collection, and consumption of sourcing data across GE transactional systems
  • Work with the Informatics and Analytics teams to identify key data quality priorities and develop actionable data standards
  • Develop the means to monitor data variance across GE source systems, and determine root cause
  • Implement processes and tools to resolve root cause data variance
  • Manage the alignment and update of UNSPSC codes across Sourcing, Analytics, and Finance
  • Develop the governance processes to maintain and monitor the Preferred Supplier List
  • Manage the update and flow down of business, country, and region list updates
  • Develop data governance practices to improve data capture from SSS and other source systems
  • Develop and implement data strategies for category specific sourcing applications
  • Create data quality reporting metrics and prioritize data improvement initiatives
  • Manage data quality initiatives
  • Identify data quality acceptance procedures for feeding data to the category analytics team
  • Partner with the broader analytics community to achieve actionable analytics for Global Operations
  • Assist with the development of Category specific collaboration sites and playbooks
  • Bachelor’s Degree or a minimum of 3 years’ experience in Sourcing Operational role
  • Direct experience with supplier onboarding and maintenance routines at the Alstom Shared Service Center
  • Experience managing transactional processes and customer service for supplier record management
  • Willing to work in Cincinnati Global Operations Center
  • Experience directing and working with off-shore resources
  • Strong project management skills and ability to manage multiple competing priorities
  • Strong interpersonal & communication skills with the ability to interact at all levels of management
  • Self-starter who can improve processes for best outcomes (cost, quality, speed)
  • Experience creating process maps and performance metrics
  • Strong problem solving skills and the ability to reach decisions and move forward under conditions of uncertainty
  • Working knowledge of data quality concepts and six sigma tools/techniques
  • Familiarity with SSS
  • Experience working with Fastworks or Agile a plus
  • Experience working with Alstom Sourcing and ERP software solutions (FMDR, MDM, etc …)
  • Experience leading mid-large projects
57

Data Quality Analyst Resume Examples & Samples

  • Conducts Level-3 quality assurance reviewer and approver functions with specific focus on operations and maintenance data validity and accuracy, TAMMS data accuracy and appropriateness, and replacement parts, MOS and manhour correctness
  • Assists in data review system design, development, implementation, and support
  • Assists in providing training support, development, implementation and evaluation
  • Assists in designing procedures to import or enter Army STAMIS and contractor data into the SDC data review application
  • Assists in developing procedures, guidance and logic for automated and non-automated data review
  • Evaluates system performance during normal field collection periods, and stress testing prior to release of new or enhanced applications
  • Maintains familiarity with system integration techniques, functionality trade-off analysis, and life-cycle design, planning, development, and execution
  • Supports corporate requirements, functions and goals, as required
  • Maintains up-to-date knowledge of available products for in-house application
  • Ability to obtain and maintain a secret security clearance
  • Performs other duties, as assigned
  • B.S. degree in Computer Science or related field, or possesses equivalent experience
  • Seven years minimum experience with SAMS-1E and / or GCSS-A systems, reports and queries
  • Seven years minimum experience with TAMMS
  • Experience with Army maintenance operations, policies and procedures
  • Must be a self-motivated and disciplined person capable of using logic and creativity to solve complex problems
  • Capable of effectively using Microsoft Office (Word, Powerpoint, Excel, Access, and Outlook), Microsoft SQL Server, Microsoft Visual Basic, and Java
58

Data Quality Analyst Resume Examples & Samples

  • Gathers preliminary information for database setup at the outset of a project
  • Reviews and understands project contracts for the purposes of contactor billings
  • Reviews automated reports and provides them to the Project Manager or distribution group
  • Quality assurance and quality control of project data
  • Generating daily reports in regard to project metrics, work completion, and costs
  • 0-2 years of work experience
  • Office suite proficiency (Excel, Outlook, and Word required)
  • Prior accounting or finance experience preferred
  • Investigative and problem solving skills
  • Self-motivated and highly organized with high-level attention to detail and ability to multi-task
  • May be required to work long hours
59

CCB Data Quality Analyst Resume Examples & Samples

  • Bachelor's degree preferred or equivalent business experience
  • 1-2 + year’s business analysis experience
  • Proficient skills in MS Office, MS Access and SQL/ Oracle utilizing TOAD
  • Demonstrate excellent analytical and logical thinking
  • Self-starter, drive for results, effective at prioritizing and managing multiple complex initiatives concurrently
  • Excellent interpersonal, negotiation and conflict resolution skills
  • Mortgage and Credit Card and other Banking discipline experience is preferred
60

Data Quality Analyst Resume Examples & Samples

  • Business and system analysis
  • Understanding of Data Governance organization as a key subject matter expert and resource for Data Quality management
  • Complete understanding of data quality challenges, processes, and required tools to assess, remediate and monitor Data quality
  • Enable automated review and analysis of data landscape Extensive experience with data profiling concepts and tools such as
61

Data Quality Analyst Resume Examples & Samples

  • Proactively collaborates with internal teams/departments to promote a culture of inclusiveness and cooperation
  • Responsible to live and exemplify Stryker's Values: Integrity, Accountability, People and Performance
  • Updating system databases with new items and attribute changes with necessary approvals to ensure data integrity
  • Ensure request responsiveness, keeping within Service Level Agreement (SLA) time frames and documenting requests , changes and updates through a defined Helpdesk tool
  • Ensure item data consistency in Canada’s ERP system, coordinating and performing regular data corrections while ensuring compliance with guidelines
  • Validating the quality and integrity of the data
  • Effectively communicating progress on data quality to Supply Chain, Finance and other key stakeholders on a regularly basis
  • Participating in special projects and compiling ad-hoc analysis as required
  • Other duties as assigned by manager
  • Must be able to understand and follow detailed and complex instructions and operating procedures
  • Highly computer literate, proficient in Excel and other MS Office applications
  • Quality-driven
  • Responsible and accountable
  • Analytical with strong problem-solving skills and ability to brainstorm effectively
  • Positive attitude and ability to manage stress (ability to work under pressure and understand the importance of correct item master data to all key business functions)
  • Strong administrative skills – planning and organizational skills
  • Time management skills; must be able to prioritize work and keep accurate and detailed records
  • Experience with SQL programming preferred
  • Experience with Supply Chain (Purchasing) preferred
  • University degree preferred
  • Internal applicants with an equivalent combination of education, experience and performance over time at Stryker will be considered
62

Data Quality Analyst Resume Examples & Samples

  • Achieve results primarily through individual performance, and coordination with US Sales Services, LillyUSA sales operations, and GCO team members to deliver Veeva Network data capabilities that enable quality and timely customer experiences
  • Prepare data profiling reports on HCO, HCP, and affiliations. Develop and maintain data quality metrics for all three entity types
  • Research and investigate quality data issues within Veeva network impacting HCO, HCP and affiliation data quality
  • Create data change requests (DCRs) based on investigation results and partner with Veeva Network data stewardship to track implementation. Maintain DCR tracking database and SLA metrics
  • Develop recommendations on how to improve data stewardship processes to increase data quality
  • Develop and execute ad hoc VN data extracts based on business requirements
  • Partner across all customer-facing functions, US business units, and other support functions to translate prioritized business capability needs into data strategy and requirements. Partner with IT to translate business requirements and processes into standard global Veeva Network data solutions
  • Collaborate with internal and external customers/partners to proactively identify opportunities to improve/expand Veeva Network data needed to support improved customer experiences and the evolving commercial model
  • Collaborate with IT, external vendors, and internal business partners to ensure operational excellence as measured through VeevaNetwork data system and database SLAs, meeting project timelines, and end user satisfaction assessments
  • Anticipate and lead resolution of key technical, operational, or business barriers to successfully implement and stabilize VeevaNetwork data capabilities
  • Build and maintain strong collaborative relationships with GCO Data and Platform teams to ensure seamless coordination and effective data integration
  • 2+ years of previous experience with data processes, tools and governance
  • Previous experience with VeevaNetwork, particularly affiliations data elements
  • Previous experience leading cross-functional projects and teams
  • Effective problem solving skills to evaluate and resolve issues
  • Strong collaboration with colleagues across BUs, functions, and organizational levels
  • Demonstrated success in influencing without authority
  • Deep understanding of IT systems and processes
  • Experience in operations, IT or Six Sigma
63

Data Quality Analyst Resume Examples & Samples

  • A genuine enthusiasm for understanding data and solving data quality issues
  • Data quality, data processing and data integration experience
  • Proficient ability to explain analysis finding to multiple audiences
  • Strong PC skills including Office applications (MS Word, Excel, Power Point, Visio)
  • Must be able to work independently and as a member of a team
  • Exceptional interpersonal and communications skills to converse with management, audit committee, internal departments as well as external partners
  • Ability to multitask several concurrent projects through to completion
  • Audit experience not required, but a plus
  • Mainframe applications experience not required, but a plus
64

Data Quality Analyst Resume Examples & Samples

  • Responsible for acquisition of data for various Market Access teams. Data will come from a variety of sources: customer portals, federal and state government sites, customer FTP sites, and internal data systems. The analyst will be required to get data manually initially, but will work with the business and IT to automate these tasks as much as possible
  • Managing and updating data in the Veeva CRM and Revenue Management tools as appropriate. The analyst will assist in system upgrades, develop test plans and perform User Acceptance Testing, as required
  • Developing reports and analytics using data in the Market Access data warehouse using Excel, Tableau, SAS, and/or other Teva reporting / analytics tools
  • Responsible for administering/posting data used in the Market Access Sharepoint. This could include developing Sharepoint forms and lists as appropriate for use within the organization
  • Develop documentation of business processes, data flows, and functional requirements
  • Follows Teva Safety, Health, and Environmental policies and procedures
  • Minimum of 5 years’ experience
  • Data acquisition, data analytics
  • SQL skills (MS SQL and Oracle)
  • Pharmaceutical industry, Market Access, or health care
  • Data analytics for rebate claims, Medicaid, and contracts-related data
  • Revitas Revenue Management tools
  • Experience with reporting and analytics using tools, such as Tableau, Qlik. SAS, Oracle BI, SSRS, or ASI
  • Advanced knowledge of MS Excel and MS Access
  • Experience with MS SQL Server and Oracle query tools
  • Experience with Microsoft SQL Server Suite of applications (SSMS, SSRS, SSIS)
  • Experience with use of programming languages for data manipulation / transformation
  • Experience with web “screen-scraping” technology
  • Experience Veeva and SalesForce.com CRM tools
  • Experience with MS Visio or IBM BlueWorksLive
  • Experience administering SharePoint sites / data
  • Experience with using revenue management data sources, such as Rebate Claims Processing, Contract Processing, Rebates, Chargebacks, Medicaid, and 340B are preferred
  • Pharmaceutical
  • Market Access
  • Medicaid / 340B
65

Data Quality Analyst Resume Examples & Samples

  • Analyze research data to ensure that defined quality standards are fulfilled
  • Provide quality reports
  • Guarantee escalation process in time in case of quality issues, cooperate with local panel organizations
  • Align with HUB Ops Manager to safeguard correct data provisioning processes and content
  • Support HUB team in different data queries and interim data quality checks
  • Cooperate with data providers to derive development needs
  • Assist internal data training and documenting the team
66

Data Quality Analyst Resume Examples & Samples

  • Ability to work with large databases
  • Experience working with Recruiting platforms and HR E-business suits
  • Good MS Office skills, Excel in particular
  • Good understanding of a ticketing system : Rightnow , Servicenow, Remedy , CA, Sales now
67

Data Quality Analyst Resume Examples & Samples

  • Previous Quality Improvement Experience
  • Familiarity with Joint Commission, Medicare Regulations, and State requirements
  • Extensive computer knowledge (Excel) and experience required
68

Senior Risk & Data Quality Analyst Resume Examples & Samples

  • Support broad risk management functions including financial risk management, insurance risk management (both Life and GI) and operational risk management
  • Support data quality risk management with specific focus on data quality control and validation
  • Support Solvency II Pillar II governance
  • Support risk reporting and risk awareness and risk culture training
  • 2 to 4 years (for Junior Risk and DQ Analyst) or 3 to 5 years (for Senior Risk and DQ Analyst) of experience in financial service industry, working experience in insurance industry an advantage
  • Degree in Statistics, Risk Management, Mathematics, Business/Commerce or equivalent
  • Strong desire to learn and further develop in the risk management field
  • Strong ability to organise and detail oriented
  • Self-motivated and able to work under pressure
  • Basic knowledge of SQL / VBA / SAS / R is preferable
  • 1Based on 2013 Office of the Commissioner of Insurance market share statistics
69

Data Quality Analyst Resume Examples & Samples

  • Review customer Pharmacy benefit information for accuracy
  • Utilize Source of Truth documents and Job Aids to review for accuracy of data entered into the system
  • Manage a work queue to ensure work is completed within required Turn Around Times and meeting Quality Metrics
  • Document and work with Business Partners to have any errors identified corrected
  • Complete ad-hoc projects as needed within the team to support process improvements and efficiencies
  • Work required overtime during Quarter 4 and voluntary overtime occasionally during the rest of the year
  • High school graduate or GED
  • 1+ years of experience in the healthcare industry
  • Intermediate or higher level of proficiency with Excel, Word and Outlook
  • Some college education
  • RxCCR knowledge
  • Ability to stay organized and work on multiple priorities
  • Ability to work in a changing environment
70

Data Quality Analyst Resume Examples & Samples

  • Strong written and verbal communication skills with the ability to interact with various levels in an organisation
  • Translate business concepts and concerns into logical statements and requirements
  • Data analysis and profiling
  • Database concepts such as data models and schemas
  • Experience with information management tools such as IBM InfoSphere Information Server and Analyzer an advantage
  • Experience in data warehouse projects is a plus
71

Data Quality Analyst Resume Examples & Samples

  • Responding to internal data inquiries
  • Compiling and analyzing data reports
  • Making recommendations on standards for reports and analysis that will either improve
  • 2 years experience
  • Knowledge of search engines and business research tools
  • Ability to adapt to changing business needs
  • Must be detail-oriented with the ability to multi task. Embraces teamwork & possesses ability to effectively work cross functionally
72

Data Quality Analyst Resume Examples & Samples

  • REQUIRED: Information Analyzer
  • Equilivent is Trillium
  • Preferred: Data Stage, SQL, Cognos
  • Document data definitions, system and user requirements and interfaces
  • Support prototyping activities that will validate business requirements, solution definition and minimize risk
  • Assist in data quality assurance and testing
  • Work directly with team members from different lines of business and the applications development teams
  • Involved in resolving complex data related issues
  • Develop data profiling solutions, run analysis jobs and view results, and create and manage data quality controls using Information Analyzer
  • Gather and articulate data issues with clients on areas such as data privacy, sensitivity and security
  • Provide expertise in data profiling concepts, issues and activities
  • Perform data profiling tasks, analyzing and annotating data issues
  • Communicate analytical results through reports and presentations
  • Bring excellent interpersonal and communication skills (personal, written and presentation) and work cross-functionally with IT staff
  • As needed, ensure management, clients and others are informed of data quality technology issues
  • Strong data analysis experience is required including soliciting data requirements, data mapping, lineage and transformation rules
  • Strong hands-on experience with DataStage, IBM InfoSphere, Information Analyzer and SQL
  • Hands on experience with documenting business and system requirements, procedures, data flows and process flows
  • The ability to convey technical information clearly and succinctly to business partners
  • Knowledge of conceptual and logical data modeling
  • Experience with ETL (Extract, Transform and Load) processes, metadata, reference data, and data warehousing
  • Sound technical knowledge and creativity to support investigative and development activities
  • Familiarity with data management standards and industry best practices
  • Good organizational skills with the ability to work independently and initiate proactively
  • Ability to navigate across the organization and work collaboratively to deliver a business and technological solution
73

Data Quality Analyst Resume Examples & Samples

  • Requires willingness and availability to work a variety of fluctuating schedules - Monday through Friday day shifts, 12 hours on/12 hours off, rotating four days on/four days off
  • Must be willing to maintain certification by working a minimum of 2 pro-shifts within every 30 day period
  • Requires a minimum of two years of directly applicable work experience
  • Requires two years experience performing satellite mission support in a near real-time operations environment
  • Requires two years of experience monitoring the activities of satellites
  • Two years using analytical skills and demonstrating mature technical judgment
  • Requires experience working directly with customers
  • Must be able to distinguish the difference between colors on a computer monitor (specifically red, blue, white and green)
  • Source Throughput Analyst (STA) certification to include all three blocks
  • Demonstrated ability to perform successfully in an open environment where frequent and direct interaction and collaboration with customers and peers is ordinary
  • Highly motivated individual with strong work ethic
  • Requires a bachelor's degree in an engineering subject and 2 years of related experience, or 10 years of equivalent related experience without a degree
74

Data Quality Analyst Resume Examples & Samples

  • Making recommendations on standards for reports and analysis that will either improve quality or decrease timing
  • Demonstrating skills to think outside the box and challenge the status quo
  • Assisting in the development and maintenance of training materials, and process documentation
  • Taking responsibility for personal development by seeking training, on-the-job experiences and input from manager
  • Understanding of data collection methodologies. Understanding of data analysis and interpretation
  • Possess the investigative mindset or techniques of consumer market trends and habits
  • Have a strong sense of commitment to the execution of deadline-driven tasks. Must be detail-oriented with the ability to multi task
  • Embraces teamwork & possesses ability to effectively work cross functionally
75

Data Quality Analyst Resume Examples & Samples

  • 1-2 years relevant title insurance experience preferred
  • Works under general supervision following work procedures and guidelines
  • No responsibility for the supervision of others
  • Knowledge of Microsoft Office applications and title/escrow related software
  • Good verbal and written communication skills
76

Data Quality Analyst Resume Examples & Samples

  • High School diploma, college degree preferred
  • Must be able to understand business rules and audit procedures to monitor data quality
  • Demonstrated ability to work effectively in a team-oriented environment
77

Data Quality Analyst Resume Examples & Samples

  • 2+ years of experience with conducting advanced analysis using Microsoft Excel
  • 5+ years of experience with relational database management, including Oracle and MS SQL
  • 2+ years of experience with Oracle OBIEE Business Intelligence and Publisher
  • Experience with DHS ICE/ERO data systems
  • Experience with DHS ICE/ERO operations and policy
  • Possession of excellent management, problem solving, and client relationship skills
78

Data Quality Analyst Resume Examples & Samples

  • Experience in a Business Systems Analyst
  • Ability to guide and keep a group on track
  • Ability to break down high-level business requirements into more detail by questioning and probing for clarification
  • Software Quality Assurance knowledge
  • MS Office suite and products experience
  • Good understanding of systems development methodologies
  • Agile work place environment
  • CBAP designation
79

Data Quality Analyst Resume Examples & Samples

  • Performs analyses of data using various tools and techniques to find data accuracy issues
  • Supports scheduled and ad hoc requests for data quality metrics
  • Works in tandem with IT to
  • Monitor data feeds, files, jobs and processes for data quality
  • Ensure data jobs run correctly, completely and in a timely manner
  • Ensure data is accurate from both a formatting and content perspective
  • Identifies and investigates data quality issues which may be escalated from a variety of sources (e.g., through internal data quality monitoring, account managers, consumer disputes, Compliance, etc.) and work with appropriate teams to correct and prevent issue recurrence
  • Works in a team atmosphere where collaboration and ingenuity are necessary
  • Utilizes purchased data quality tools and internally developed processes to automate and enhance data monitoring where feasible
  • Proactively works to identify process improvements to track and improve data quality
  • Establishes data trends to identify the behavior of the data and prepare reports and presentations for internal and external audiences
  • Assists in documenting Data Quality standards, procedures and data flow diagrams
  • May perform special projects upon request and on occasion
  • May provide coaching and/or guidance to less experienced Business Analysts
  • Data quality, data processing and data integration experience with understanding of IT terminology
  • Knowledge of financial services industry and regulatory standards for working with non-public personal information
  • Proficient in standard office software, such as MS Office, Visio, MS Access, etc
  • Proficient ability to explain analysis findings to varied audiences (e.g., technical, non-technical, executive-level, and peers)
  • Willingly shares relevant knowledge and expertise to other resources
  • Ability to work several concurrent projects through to completion
  • Ability to work independently and as a collaborative team member
80

Data Quality Analyst Resume Examples & Samples

  • Investigating any data issues identified and developing appropriate solutions
  • Undertaking the development of new data quality reporting utilizing SAS/SQL/Tivoli/UNIX
  • Provide support to other areas on the provision of data quality testing
81

Data Quality Analyst Resume Examples & Samples

  • Applying data quality management and principles and best practices
  • Participating in discovery and documentation of current state processes
  • Profiling data
  • Understanding data relationships
  • Harmonizing data elements across global systems
  • Creating metrics and reports and participating in enterprise-wide data governance efforts
  • Through research and interviews with business and technology partners, build and document data standards and data quality rules for customer or Vendor master data in LMS software or team share point site
  • Troubleshoot data quality issues and recommend suitable global solutions
  • Assist in creation and support of a sustainable data governance program
  • Create information product maps / flows
  • Assist in creation and ongoing maintenance of business metadata repository
  • Generate scorecards and metrics reports using data quality software
  • Provide support for master data related projects as needed
  • Support ETL developers by preparing data-cleansing specifications
  • Frequently audit customer and / or Vendor Data Dictionaries to ensure accuracy
  • Participate in annual information needs and assessment surveys; analyze and present results
82

Data Quality Analyst Resume Examples & Samples

  • Performing data quality assessment of data sources and data outputs e.g. reports
  • Ensuring the delivery to the business of accurate, fit for purpose data by working with data owners and stewards to identify issues and coordinating them to ensure they are appropriately categorised and prioritised
  • Working with data owners and stewards to understand effective remedial activity required to resolve issues, developing and maintaining solution plans to coordinate delivery
  • Making update to the data quality issues log and dashboards to provide regular reporting
  • Monitor the process to identify and monitor Data Quality/Exceptions identified in CDS, and
  • Work closely with IT Operations to address technical data issues for instance requiring Change requests for Source system functionality or data patches to correct data issues using Trillium
  • Good understanding of Insurance business (particular commercial), models and reporting requirements (internal, external and regulatory) to support Business in implementation of appropriate measures of quality
  • Good understanding of Insurance business (particular commercial), models and reporting requirements
  • Can form solutions and challenge them against Business need
83

M HIS Data Quality Analyst Resume Examples & Samples

  • Work with development, quality assurance, and methodology teams to identify data quality issues
  • Identify and build SQL-based validation tests to identify anomalies, errors, trends
  • Review data quality tests, investigate and communicate results
  • Help maintain and improve an extensive code-base of data validation tests
  • Troubleshoot, debug, and remediate issues with automated tests
  • Participate in data review meetings representing the quality assurance team
  • Bachelor’s Degree or higher from an accredited university and/or minimum of three or more (3+) years of experience in lieu of the education requirement
  • Minimum of two or more (2+) years of experience querying relational databases
  • Experience with healthcare information given strong preference
  • Experience with quality assurance fundamentals is given strong preference
  • Experience with analytics, report writing, or business intelligence applications is preferred
  • Working knowledge of stored procedures, views, and T-SQL is preferred
  • Knowledge of data warehousing and ETL preferred
84

Data Quality Analyst Resume Examples & Samples

  • Utilize tools to analyze data according to defined business rules and procedures
  • Performs DQ tests (system and visual) to verify data integrity
  • Documents and publish Data Quality errors
  • Updates reports, track and publish DQ resolution
  • Bachelor Degree in a technology related discipline preferred
  • 3+ years data quality principles, technology and related experience
  • Ability to navigate organization and build SME relationships
  • Provide strong analytical, communication, and organizational skills
  • Knowledge of required tools to query, review lineage in varying file formats
  • Knowledge of all types of data formats and file structures
  • Ability to follow data quality standards, metrics and audit procedures
  • Ability to convey technical issues/problems to programmers
  • Strong detail orientation
85

Data Quality Analyst Resume Examples & Samples

  • University or college of higher education, work experience in Finance and /or Insurance Business and Information Technology
  • 10+ years of business process experience with increasing responsibilities of improving quality
  • 5 + years of data quality experience
  • 5 + years of experience in insurance and/or Financial Services
  • Demonstrated experience in managing data quality program implementation
  • Deep knowledge of data standardization / metadata management tools such as IBM Business Glossary
  • Knowledge of data quality management in a context of a transactional and analytical systems
  • Proficiency in using models (data models, architecture models, enterprise models, e.g., ERM and UML)
  • Experience in data quality improvement methodologies and tools (e.g., six sigma, lean)
  • Six Sigma Certification (minimum green belt certified)
  • Consulting methods (ability to challenge and write specs etc.)
  • English and preferably German
86

Data Quality Analyst Resume Examples & Samples

  • Provides support in the governance of business data to ensure consistency, accuracy, and accessibility
  • Design and build BI Data Quality Reports for internal review and consideration for remediation
  • Assist in synthesizing large amounts of data into meaningful conclusions and support any root cause analysis
  • Compile and analyze Data Quality Monitoring reports and make recommendations for remediation
  • Assist in facilitating Data Quality workshops with Data Stewards and Data Subject Matter Experts
  • Manage multiple priorities given aggressive timelines; comfortable performing in a fast paced, dynamic and ambiguous business environment; manage both internal and external resources
  • Contribute to a common vision by elevating the organizations’ commitment to clean, reliable, and accurate customer and business data
  • Implement processes and procedures to drive enterprise data confidence through high quality data assets
  • Contributes to project milestones associated with specific data & analytics projects or activities within own department or workgroup
  • Manages work using Agile methodologies enabling the movement of the most important work forward
  • Bachelor’s degree in a field such as Data Quality, Data Architecture, Business, Math, Computer Science or equivalent work
  • 2-4 years of business experience and/or business project management experience
  • Solid decision making, problem solving approaches, and ability to support routine to complex analysis
  • Strong aptitude to understand Allstate systems and data
  • Intermediate data profiling, data discovery, and root cause analysis skills
  • Ability to synthesize large amounts of data into meaningful conclusions and recommendations
  • Ability to design and lead data and technology heavy projects
  • Ability to revise tactics to support changing strategies and direction
  • Ability to inspire trust
  • Excellent presentation skills; dynamically (persuasively) presenting ideas to management
  • Skills in Informatica Analyst Tool, Tableau(visualization tools) and Agile methodologies is a plus
87

Data Quality Analyst Resume Examples & Samples

  • Hands on data scripting & scorecard generation
  • Ability to help crate data quality thresholds
  • Ability to help create and acceptable data quality tolerance around data
  • Ability to help set attainable metrics - understand how much one chance could help increase metrics % from previous experience and projects
  • Data Governance and standards focus would prefer experience in a data management role
  • Work with other LOBs and EDA teams on implementation and adoption projects
  • Research data fields to identify term usage across the enterprise
  • Define the enterprise data term based on input from LOB partners
  • Socialize definitions among LOB partners to gather feedback
  • Gain consensus from LOB partners for the term definition and record approval
  • Update metadata repository with the approved definition and confirm term metadata meets minimum standards
  • Define quality metrics for the newly defined term
  • May require work with data governance policies, Metadata, Data Quality or Change Management
  • This role will need to be a good communicator (both written and verbal) that can influence others
88

Senior Data Quality Analyst Resume Examples & Samples

  • Lead Data Quality Analysis activities including capturing and documenting Data issues from multiple Business Stakeholders
  • Minimum 5 years’ experience as a Senior Data Quality analyst and/or Project Lead on complex business/technology initiatives
  • Experience leading complex initiatives within a business and across multiple businesses – ability to impact and influence results
  • Good understanding of TD’s project management methodology, and specifically Requirements Management Lifecycle methodology (RMLC)
  • Superior skills in data analysis including strong SQL/SAS data extraction skills from complex relational SQL databases as well as from mainframe application files
  • Proven analytical and problem-solving skills and the ability to proactively identify concerns, identify gaps and recommend solutions
  • Excellent written and verbal communication skills to ensure effective communication with Senior Management and other business partners. Be able to interact well with business users as well as IT development and TS support community
  • Superior multi-tasking skills and the ability to work in a fast-paced, often deadline-oriented and dynamic environment
  • Organizational awareness and sensitivity - strong ability to manage productive relationships with business partners and stakeholders
  • Ability to work independently and in a team environment
  • High degree of personal initiative
  • Strong negotiation and influencing abilities
  • Adaptable to changing priorities and ad hoc requests
  • Superior Microsoft Office skills, including Word, Excel, PowerPoint and Visio
  • Familiarity with Business Intelligence reporting tools (Business Objects, Cognos)
  • Understanding of Retail Risk Management processes and Retail products is an asset
  • Education and Accreditation
89

Data Quality Analyst Resume Examples & Samples

  • Develop, own and automate the evolution of the Customer Data Lake – SQL based Single View of the Customer
  • Ensure accuracy and integrity of data and applications through analysis, coding, writing clear documentation, and problem resolution
  • Investigate and integrate all available data sources including structured, unstructured and external information from sources such as VoC and external data (e.g. D&B) and integrate into a meaningful way that can be used
  • Work alongside Data Sciences to understand data requirements including the data structure and format and deliver in a suitable format adding value where possible
  • Support Data Quality Managers to develop tools for data governance and master data management
  • Manage the development of areas such as Data Quality reporting, the technical application of Master Data Management policies and provision of regular workpackets of errors for local data teams to implement
  • Work with IT to generate ideas for new tools and techniques to do the job e.g. new database management techniques such as DFS software such as Hadoop, other ETL tools such as Oracle Warehouse Builder or Google APIs for address validation
90

Data Quality Analyst Resume Examples & Samples

  • From 3 to 7 years of experience working within the Finance or Risk functions
  • Experience in data quality (DQ value, DQ processes and approach, DQ tools)
  • Knowledge in data related activities (metadata, data governance, master data management)
  • Ideally experience with master data management, data dictionary, data analytics and data profiling
  • Good knowledge of financial markets and instruments
  • Good understanding of data administration and management functions
  • Excellent verbal and written communication and reporting skills
  • Proficient use of Microsoft Office (Excel expertise and VBA knowledge is a plus)
  • Familiar with modern database and information system technologies
  • Highly collaborative team-oriented, who has proven ability to build relationships with technical and business resources
  • Self-motivated and proactive, ability to work independently with minimal direct guidance, delivering solid action-oriented results quickly implemented
  • An analytical mindset with problem-solving skills proven the ability to identify, quantify and effectively raise business risks
91

Data Quality Analyst Resume Examples & Samples

  • Data Quality Monitoring – communicates with clients about data errors on the basis of data quality reports, develops and understands SAS data quality code; monitors data quality using established error reports, extract queries and SAS code; corrects data using established criteria; assists with final quality checks of all report formats
  • Development - Communicates and collaborates with external and internal customers to analyze information needs and functional requirements and deliver the following artifacts as needed: (Functional requirements (Business Requirements Document), iii. Use Cases, GUI, Screen and Interface designs) on multiple small, medium and some large projects
  • Report Production – Conducts routine and ad-hoc statistical analyses and reports for internal and external customers; prepares data sets for external researchers
  • Supports special projects, creating on-line surveys for beta rollout of indicators, collates responses and prepares output and other duties as assigned
  • Bachelor’s degree in social science, statistics or related field plus two (2) years relevant experience. Master’s degree preferred. Alternatively, Bachelor’s degree in another area and five (5) years of experience
  • Expertise in SAS
  • Experience in Excel, familiarity with descriptive statistics, strong communication skills, including strong telephone skills, strong organizational skills, demonstrated record of accuracy and attention to detail
  • History teaching statistics, experience in managing healthcare databases and experience in data report production also preferred
  • Some travel is required for this position
92

Data Quality Analyst Resume Examples & Samples

  • 7+ years of experience working with Microsoft SQL Server, SSIS and SQL Agent Jobs
  • 7+ years of experience with equity financial market data (indexes, positions, assets, trades, security masters, pricing, etc.)
  • 5+ years of experience in data loading and transformation with daily data comparison and reconciliation reporting
  • Strong understanding of capital markets and trade life cycles
  • Prior experience working in an environment where data needs to be validated before trading begins
93

Data Quality Analyst Resume Examples & Samples

  • Recommending and implementing changes that will either improve quality or decrease timing
  • Problem-solving abilities and ability to meet reasonable deadlines
  • Drive process improvement in everyday work
  • Proficient in all MS Office products (strong Excel, PowerPoint, Word)
  • Experience in data processing environment, retailer knowledge, category/industry knowledge a plus
  • SAS experience also a plus
94

Data Quality Analyst Resume Examples & Samples

  • The daily execution and management of the team whilst performing the DQIM process
  • Alignment of all DQI and Control Gap severity ratings to the banks Operational Risk Framework
  • Linking the DQI and Control Gaps to the lineage and
95

Data Quality Analyst Resume Examples & Samples

  • Maintain and improve the Quality of Sainsbury’s Customer Data
  • Subject Matter Expert for Sainsbury’s Customer Data, providing support to various departments and divisions – Marketing, Digital & Technology
  • Support on-going development and day to day maintenance of the single customer view
  • Responsible for ensuring the quality of Sainsbury’s Customer Data – accurate, timely updates
  • Managing periodic (weekly, monthly) processes for loading and transforming customer data from 3rd parties
  • Managing daily and ad-hoc data processing requests in a timely and accurate manner
  • Proactively monitoring data quality of incoming customer data and investigate poor data quality and data anomalies
  • Resolving customer and product data quality issues, and ensuring data quality initiatives deliver incremental improvements in data quality and customer contactability
  • Performing Steward Review Process to merge or retain suspected duplicate records
96

Data Quality Analyst Resume Examples & Samples

  • A solid understanding and technical expertise in the use of data quality software tools
  • SQL Skills
  • Experience in ETL tools
  • An understanding of data structures and data profiling
  • Experience of delivering high quality reports
97

Associate Data Quality Analyst Resume Examples & Samples

  • Perform Data Profiling, Data Cleansing, Analyzing results using statistical techniques and provide ongoing reports
  • Define and implement strategies to develop data collection systems to optimize statistical efficiency and data quality
  • Identify, analyse, and interpret trends or patterns in complex data sets
  • Ensure governance mechanisms are in place to monitor and control access to data
  • Coordinate with Data Stewards for each domain to achieve defined data quality targets
  • Effectively communicate technical terms to non-technical customers
  • Creation of various data reporting Dashboards
  • Creation and maintenance of data quality controls
  • Conduct and own DQ remediation and root cause analysis and define plan for improvement
  • Support Data Governance Councils and Steering Group by preparing supporting documents
  • 3+ years of demonstrated experience working with Data Quality, Data Profiling, Data Reporting and Data Analysis teams supporting complex data management program
  • At least 2 years of prior experience working with Informatica products including ETL Power Centre/Developer and IDQ
  • At least 2 years of prior experience working with Relational Databases; Oracle preferred
  • At least 2 years of prior experience working with Data Reporting tools; Business Objects preferred with good hands on Microsoft Excel
  • Strong knowledge of Informatica ETL, Informatica IDQ Informatica Analyst and MDM tools
  • Should be able to engage with external vendor like Bureau van Dijk (BvD) for issue resolution, new updates and patch releases etc
  • Broad experience with data requirements, business intelligence/ analytics, tools, protocols and practices
  • Substantial experience in writing SQL and or PL/SQL
  • Prior experience with Data Quality reporting using Business Objects or any other similar platform
  • Should be able to Interface with Business and IT teams for investigation of issues and their resolution
  • Should have high energy level, and thrive in a fast-paced environment with ambitions to deliver outstanding results
  • Very strong communicator, proven ability to guide and influence without direct line authority
  • Collaboration and teamwork, and an ability to look beyond functional needs to the bigger picture
  • Challenging constructively in tough situations, and building strong relationships
  • Grasping complex issues and driving effective problem solving
  • Previous experience of working within an global, cross-functional Community of Practice would be advantageous
  • Certification in Data Management technologies would be advantageous
98

Data Quality Analyst Resume Examples & Samples

  • Define, plan, execute, monitor, and improve the quality of data at F5
  • Develop and maintain required data quality dashboards, reports, and visualizations
  • Develop analysis techniques to identify data quality issues and root causes
  • Establish and lead data quality improvement workstreams
  • Build trust and expertise through ongoing coordination with Process Owners, SMEs, Analysts, and Stewards
  • Support quality improvement projects through consultation, requirements definition, development and testing using available tools
  • Deliver documentation, status presentations, and training to audiences interested in the progress of data quality initiatives
  • Develop and lead workstreams for quality definition and improvement efforts including Process Owners, SMEs, and Data Stewards
  • Become single point of reference for data quality capabilities and recommendations for assigned data assets
  • Manage and make reasonable progress on multiple assignments
  • Collaborate effectively with team and peers in business and IT to build trust and buy-in with the Data Quality program
  • Demonstrate a solid understanding of Data Quality concepts and practices for profiling, quantifying, and managing data quality
  • Demonstrate a solid understanding of Relational Database concepts, Data Dictionary, Data Attributes, Cross-References & Identifiers, Data Hierarchies & Relationship Types
  • Demonstrated attention to detail, with ability to “dive deep” into data issues to find root causes that lead to quality improvement
  • Demonstrated ability to collaborate, listen and influence across organization boundaries
  • Demonstrated ability to lead teams focused on data quality improvement efforts
  • Positive, self-motivated, flexible, persistent, with good communication skills
  • Knowledge of MDM principles and workflows (especially Customer MDM)
  • Knowledge of enterprise data quality tool suites such as Informatica IDQ, Oracle EDQ, SAP DQ, IBM InfoSphere, Dataflux, etc
  • Knowledge of SQL and ability to perform complex querying
  • Sharepoint, Excel PowerBI, and Tableau knowledge (preferred)
  • Understanding of Business Transactional Systems (such as Oracle EBS, Siebel CRM, Salesforce)
  • Knowledge of Dun & Bradstreet data and/or international postal data standards
  • Bachelor's degree in Business/Economics/Finance, Math/Statistics, MIS, or other computational field of study
  • 5+ years of experience in similar position
99

Data Quality Analyst Resume Examples & Samples

  • Perform Data Quality analysis Activities
  • Designing Data Profiling plans and performing data profiling to assess data quality using agreed upon data quality assessment dimensions (i.e. Conformity, Completeness, Consistency)
  • Participate in Issue Validation and Resolution
  • Participate or lead testing of resolutions as required
  • Develop data validation mechanisms and enforce methods for ensuring data quality and accuracy at the point of entry
  • Lead Data Discovery and Data Quality/Data Governance procedural requirements meetings with Business Units, Data Governance Manager, Data Quality Lead, Data architects, Administrators, Business/Data Analysts and others as required
  • This is a Temp-to-Hire position and can be worked from Hillsboro, OR or Spokane, WA and offered through Volt Technical Resources - a division of a Fortune 1000 publicly traded Staffing Industry Leader. We are among the largest IT staffing companies in the Pacific Northwest for contract/temporary and direct hire placements and support most of the top rated IT companies in the United States
100

AVP, Lead Data Quality Analyst Resume Examples & Samples

  • Work with executives in promoting quality as a strategic business imperative
  • Experience in the use of control charts for visualization and management of process quality
  • Success in implementing a data quality practice in a large company
  • Experience is relating compliance and quality initiatives
  • Metadata/ Glossary – Ab Initio / Collibra or similar desired
  • Knowledge of Treasury business area
  • 3+ years of experience working in a quality control manufacturing environment
  • 3+ years of experience working with business process analysis, design, and improvement
  • 3+ years of experience working with statistical analysis and tool expertise
  • 3+ years of experience working with large and complex information systems
  • 3+ years of experience working with data quality specialization
  • 3+ years of experience working with data management
  • Quality certifications desirable
  • CDMP Certificate desired
101

Senior Data Quality Analyst Resume Examples & Samples

  • Position Title: Senior Analyst – MIS Reporting
  • Grade/Level: C10
  • Business Group: CSIL-GAI
  • Function Group: GAI
  • Department: GAI
  • Location: Bangalore
  • Data Extraction and Data Manipulation: Take ownership in extracting data from various data sources. This would require an understanding of the project objectives and data requirements, working with the huge databases to meet the data needs for the project
  • MIS Reporting: Understand the MIS report objective, requirement gathering on the data needs/system needs etc. Code, Test and Execute the MIS requests as required using SAS/SQL. Work closely with the business Partners and ensure timely delivery of reports across business units. Advanced visualization tools like qlikview can be a plus
  • Standardization and Efficiency- achieved by having a standardized data flow, common definitions across MIS etc. This role would also require data management activities as required
  • Presentation of results: The individual would be expected to independently design presentations to summarize the result of analysis
  • Business Knowledge: Develop an understanding of the domain/function. The individual is expected to develop domain expertise in his/her work area
  • Teamwork: Develop cross-site relationships to enhance leverage of ideas. Set and manage partner expectations. Coach and mentor junior analysts by sharing Business, Functional and Technical expertise
  • Communication and Relationship: Independently manage end-to-end project/partner communication across the various levels in the organization. It is extremely critical to develop and maintain smooth relationship with partners across business units
  • Design and development – end-to-end set-up of the MIS reporting and delivery process (request, initiatives, validation and posting files), understand data requirements (Code, Test and Execute) and assist with simple campaign MIS and analytics requirements (this is not a modeling/complex analytics role)
  • Work closely with partners across business units to understand project requirements, timely delivery and partner communication with 100 % accuracy and solving business problems
  • Auditing and quality checks are extremely critical for this role
  • Timely partner communication and attending business calls
  • Data driven solutions and working on critical Initiatives ,Identify opportunities to drive data analytics solutions
  • Master degree in Information Technology/Information Systems/Computer Applications/Engineering from a premier institute
  • BTech/B.E/MCA in Information Technology/Information Systems/Computer Applications with additional 2 years of experience
  • Financial domain (Cards/Retail Bank/Mortgage) background preferred
  • Experience working with off-shore industry preferred
102

Senior Data Quality Analyst Developer Resume Examples & Samples

  • 1) Data quality and data governance
  • 2) Winshuttle and Informatica Development
  • 3) Cognos
  • 4) SAP Customer, Vendor, Credit Limits, and Bank Master Data domains
  • 5) SharePoint; and
  • 6) uPerform
103

Data Quality Analyst Resume Examples & Samples

  • Proactively and reactively respond to the data the business has at its disposal and be able to support the wider Business to conduct the examination of data and be a catalyst for change
  • Support the Data Quality Manager in implementing standards and driving through initiatives to improve data quality across the landscape
  • Profile new sources of data into the organisation to establish quality prior to development activity
  • Respond to business queries and incidents relating to accuracy of data within existing legacy and strategic solutions
  • Extensive experience in related field
  • Ideally Bachelors degree (or equivalent) in Computer Science, Information Technology
  • Understanding and prior experience of Data Profiling, Root Cause Analysis, Data Cleansing and Data Manipulation
  • Strong numeracy, analytical and problem solving skills
  • Good organisational skills and strong communicator
  • Be enthusiastic and self-motivated
104

Data Quality Analyst Resume Examples & Samples

  • The right candidate for this position will have 2-3 years of experience in data testing with some proficiency in SQL testing tools
  • Candidate will also have the ability to work both independently and collaboratively and with effective oral and written communications skills
  • A strong sense of process, detail and follow through are essential for this position
  • Candidate must be able to build a comprehensive understanding based on a variety of engineering documents, product characterizations and test results
105

Data Quality Analyst Resume Examples & Samples

  • 5+ years of experience supporting Data Governance, Data Management, and/or Data Quality initiatives
  • 5+ years of experience using data quality and visualization tools (Informatica, Tableau)
  • Passionate about data quality and data governance
  • Demonstrates a solid understanding of data quality concepts and practices, such as data profiling and creating/maintaining data dictionaries
  • Experience implementing or maintaining and Master Data Management (MDM)
  • Expertise in database technologies (NO-SQL, Relational)
  • Experience operating in an Agile development environment
  • Ability to investigate a hypothesis and present root cause analysis recommendations based on quantifiable metrics
  • Ability to collaborate and influence across organization boundaries
106

Data Quality Analyst Resume Examples & Samples

  • Data Quality Definition and Processes (40%): Work with the Business Data Architect to define and document what data means and the lifecycle it undergoes within the respective systems. Develop Data Dictionaries and presentations that explain what data is and how it impacts the organization for non-technical audiences. Needs to be able to visualize and clearly communicate how data flows through systems and processes
  • Data Quality Assessment and Remediation (25%): Identifying high value data components as well as components that are critical to system integration. Work with Data Owners and Stewards to fix immediate problems and design processes to clean the data. Design and build data quality rules and profiles within technical systems. Work with application owners to pro-actively build front end validation to prevent the need for data cleansing
  • Data Quality Monitoring and Program Metrics (25%): Develop Data Exception reporting in (Information Steward/Tableau/Excel/Automated QA regression testing systems). Educate and communicate with business process leaders, noting the strengths and weaknesses within their data landscape. Works with BI report developers and business analysts to educate when to use what data and why
  • Data Quality Project Management (10%): Develop and manage your own data quality projects, communicating timelines, estimates, and milestones. Develop and communicate risks and mitigation plans.)
  • Minimally 5 or more years experience working with databases, master data, and enterprise systems
  • Experiene working directly with non-technical audience with strong customer service skills and relationship building skills
  • Must have a solid understanding of how to join and manipulate data within a database (v-Lookup in Excel is not enough)
  • Preferable : Experience with SQL, HANA, SSMS, Information Steward, SAP Tables and Processes
  • Self-starter and proactive personality
107

Master Data Quality Analyst Resume Examples & Samples

  • Create and maintain all information included in material master, customer master and vendor master records for all systems and handle special requests as needed
  • Maintain primary data that drives billing credit, accounting and financial reporting
  • Network to find key subject matter experts in the business to provide input and feedback on the new processes
  • Analyze data which involves understanding and interpreting data collected
  • Import, clean and validate data and present the results in various reports to management
  • Ensure the accuracy, control and integrity of MRC Global’s master data environment
  • Understand and champion Data Governance practices
  • Identify and communicate key responsibilities and practices to ensure the Master Data team promotes a successful outlook, confidence in leadership and teamwork to achieve business results
  • Provide guidance, planning and direction for managing the quality of MRC Global’s data
  • Resolve problems, correct discrepancies and provide additional information as it relates to the quality of MRC Global data
  • Ensure controlled process for sensitive credit card data and proper updates to credit extension changes
  • Maintain secure PCI compliant process to restrict and safeguards customer credit card data
  • Support business initiatives, gain operation efficiencies, and champion process improvements as it relates to master data management
  • Proactively allocate resources and time for the business units or functions they support
  • Assist internal and external auditors during regular and tax audits
  • Work with Master Data Managers to identify duplicate part numbers, reduce temporary part numbers, and align items in proper logical groupings based on published MRC Global data structures and governance rules
  • Maintain part number conversion file and distribute conversion reports and labels as well as establish standards for descriptions, attributes, etc. (SIMS US and CA only)
  • Maintain MRCGO and electronic catalog information that is stored on the CIM including expanded descriptions, UNSPSC codes, and product type codes
  • Follow-up of material master (CIM SIMS US/CA) by contacting sales representatives, supply chain management groups, and branches to assure correct description of item attributes
  • Take reasonable care for the safety and health of yourself and others; report workplace hazards, injuries, or illness immediately
  • Undergraduate degree in a related field or equivalent combination of education and work experience that provides the knowledge and abilities necessary to perform the work
  • Strong PC skills with extensive knowledge of Microsoft Word, Excel, Access and Project
  • Demonstrated ability to understand data management within the context of an ERP solution
  • Demonstrated ability to maintain a high level of accuracy in the review and entry of data
  • Organizational and time management skills; attention to detail and good decision making skills necessary. Ability to effectively communicate with executive management, corporate and branch employees using written correspondence, proper phone skills, and other effective interpersonal skills offering the ability to communicate and promote ideas and transfer detailed knowledge to others
  • Ability to maintain accurate records and exercise initiative in arranging details to obtain job objectives
  • Ability to discern similar material from one another through item description and follow-up steps
  • Good business math skills to accurately understand part dimensions
  • Strong reasoning and reading skills to read and interpret part number add/change forms
  • Ability to learn all of MRC Global’s ERP and software interfaces
  • Ability to author and present data to a group of peers, managers and external constituents
  • Must have the ability to provide documentation verifying legal work status
  • Ability to read and speak the English language proficiently in order to communicate with others, understand and interpret safety instructions, and to respond to inquiries
  • Ability to understand and comply with MRC Global guidelines and expectations, to include Code of Conduct and Conflict of Interest guidelines
108

Senior Data Quality Analyst Resume Examples & Samples

  • Design, architect, implement and manage Data Governance and Quality tools at Illumina and work with a team of Data Stewards, Data Architects, SMEs and business users
  • Works in close collaboration with Data Stewards, Data Custodians, Architects and Data Owners to identify Data Quality issues and establish Data Quality Programs to improve data quality
  • Directs and coordinates Data Quality projects as part of overall Data Quality Initiative from Enterprise Data Governance and Quality Organization
  • Hands on experience and ability to troubleshoot and Identify Issues
  • Participates and/or directs the creation and approval of policies related to the maintenance of data in the system to ensure data quality
  • Creates processes to verify data quality from end users, approves changes, performs internal and external compliance checks, and audits the data input into the system
109

Data Quality Analyst Resume Examples & Samples

  • Root cause analysis skills: issue quantification, track and trace, Pareto analysis
  • Ability to present complex information to different audiences to meet communication goals
  • Data querying skills, including advance tool skills (SAS)
  • Minimum 7 years' experience working with health care data, from both a technical (IT) and non-technical perspective
  • 5 years' experience working on data quality management, measurement, and root cause analysis
  • Experience with Statistical Process Control methodology
110

Data Quality Analyst Resume Examples & Samples

  • Must be organized and self-motivated with a keen attention to detail and a focus on accuracy
  • Establishes an on-going process to maintain quality data and define quality audit processes
  • Monitors quality metrics daily to proactively identify issues related to data loads
  • Performs data integrity checks, reports anomalies, and coordinates with external vendors for resolution
  • Ensures high quality data is collected and safeguards the integrity of the data
  • Identifies and leverages opportunities to improve the quality management processes, systems, and standards
  • Works closely with external vendors and internal business units to resolve any quality issues
  • Escalates and pro-actively communicates with manager to confirm priorities and approach
  • Accountable for understanding data quality needs
  • Participates in team coordination activities to achieve workflow optimization
  • Maintains confidentiality and protects sensitive data at all times
  • Works with 3rd party as well as internal software tools for data quality assurance
  • 4 year Bachelor's degree in IT or related field is required
  • Extremely Detailed and Process Oriented
  • Strong PC Skills, including intermediate to advanced knowledge in Excel is required
  • Ability to learn and apply concepts is essential
  • Demonstrate excellent analytical and logical thinking as well as problem solving and analytical skills
  • Well-developed verbal and written communication and presentation skills as well as excellent interpersonal skills
  • Self-starter, results-driven, and effective at prioritizing and managing multiple initiatives concurrently
111

Data Quality Analyst Resume Examples & Samples

  • Define and refine KPIs required to identify data completeness and accuracy across both data migration (from Legacy to new platform) as well as BI processes (from data capture to delivery)
  • Automate processes to track data quality metrics and proactive alerting capability
  • Help with data profiling and standardisation across multiple sources
  • Work with delivery team and business stakeholders to define and execute test plans and seek implementation signoff
  • Provide regular updates to project team on quality assurance and user acceptance tasks and results
  • Help coordinate and resolve data quality issues identified during integration and user acceptance testing
  • Develop data quality strategy, framework and standards required for administering data quality post go-live
  • A graduate degree (or equivalent)
  • Extensive experience using SQL to analyse data and draw conclusions from it
  • Proven track record of delivering data quality solutions in complex projects (agile and waterfall) and environments
  • Ability to communicate clearly and professionally, both verbally and in writing, with users at all levels within the organisation
  • Ability to build strategic working relationships to facilitate and accomplish set objectives
  • Strong organization skills with ability to understand and apply new technologies and concepts quickly
  • Excellent collaborative skills with ability to exhibit flexibility as well as diplomacy to stand his / her ground when necessary
  • A highly developed sense of integrity and commitment to customer satisfaction
112

Data Quality Analyst Resume Examples & Samples

  • Understand and map the flow of marketing systems and its data and relationships
  • Measure, evaluate, and track the key metrics around campaigns
  • Maintain database quality and accuracy
  • Develop and implement process and procedures for Marketing to ensure data quality
  • Track performance against metrics within the year, quarter, month, and week and monitor campaign performance
  • Utilize data to provide forecasting of key business performance indicators (revenue, trials, leads)
  • Manage & drive actions with Key Stakeholders to achieve business results, maximize marketing/sales success, and resolve cross-functional issues
  • Maintain and reduce data quality issues, develop remediation plans and optimize systems for efficiency
  • Utilize data analysis to provide insights and understanding of the data within the marketing team
  • Bachelor’s degree or equivalent work experience is required
  • A minimum of 5 years in a marketing, data quality or a sales support role
  • Strong computer skills with MS Excel, MS PowerPoint
  • Strong understanding of marketing technology systems (Salesforce, Marketo, Tableau)
  • Working knowledge of industry and channel practices, market and competitive analysis, financial modeling practices, and familiarity with product cost analysis
113

Data Quality Analyst Resume Examples & Samples

  • Ensuring that “payment grade” quality data has been loaded into the IDR
  • Defines, launches, and drives mission-critical strategic and operational initiatives in core non-technical programs
  • Analyze data to confirm relationships and identify potential data quality issues
  • Support and Maintain IDR data model and views
  • Creates a method of change management including ownership of a documentation library, communication plans, process training, etc
  • Clearly documents and presents findings including creation of diagrams and procedure documentation
  • Communicates effectively with a wide variety of technical and non-technical audiences
  • Identifies, analyzes and defines project requirements and scope
  • Provide required support to address user questions
  • Requires a BS degree or equivalent and 12+ years of related experience, or a MS degree and 8+ years of related experience
  • Experience managing projects in the Federal Healthcare Information Technology sector
  • Design, develop and implement data quality and cleansing processes
  • Experience with data visualization tools
  • Experience with big data applications using Hadoop (e.g. HBase, Hive, Impala, Spark, Pig, Sqoop, Flume and/or MapReduce)
  • Understanding Mainframe Platform and integration with other tools like SAS
  • Exceptional communication and interpersonal skills
  • Expertise ITIL process in incident management, problem management, change management and release management
  • Knowledge of Medicare, Medicaid, functional models and business processes
  • Experience with managing analytics projects, including big data warehouse and business intelligence
114

Edm Data Quality Analyst Resume Examples & Samples

  • Minimum 7 years’ experience working with health care data, from both a technical (IT) and non-technical perspective
  • Reporting experience
  • 6 Sigma or similar quality improvement experience
  • SAS programming experience
  • Analyzing/measuring the quality of data ingested into Cigna's Data Lake and other authoritative data sources
  • Reporting on findings
  • Proposing improvements to processes and systems that will enhance quality
  • Manage track and report on work efforts and deliverables
  • Data analysis skills: ability to identify patterns in data, read a data model, read code, do trend analysis, and formulate and test data rules
  • Presentation skills, including data visualization
  • Problem Solving/DecisionMaking
115

Data Quality Analyst Resume Examples & Samples

  • Design and implement test plans for back-end testing of transmission data and reports
  • Test new transmission related functionality
  • Write queries (SQL and SAS) to monitor data quality
  • Collaborate with other teams for testing
  • Write business requirements
  • Write functional specifications
  • Collaborate with developers and other teams
  • Gather requirements, perform validation, prepare reports to internal customers
  • Assist in coordinating implementation of projects
  • Process data, generate files, transmit files, review feedback reports
  • Log issues related to transmissions, communicate to internal customers, validate reports, monitor progress of assigned projects
  • This position requires a great deal of technical knowledge and skills including understanding of relational databases, file formats (e.g. XML, X12, etc.), ability to read and write SQL, ability to write or learn SAS, the ability to work with a large volume of data
  • The position also requires attention to detail, the ability to efficiently and effectively manage multiple responsibilities and competing priorities, excellent written and oral communication
116

Data Quality Analyst Resume Examples & Samples

  • Identify metrics and measurements for data quality scorecards
  • Profile data for Data Quality assessment
  • Develop, propose, and contribute to implementation of data quality improvement processes
  • Develop objects within data quality tools for cleansing, de-duplicating, and other data preparation
  • Conduct root cause analysis; present findings and proposed improvement solutions
  • Ensure appropriate stakeholders are involved in initiatives to obtain needed information, maintaining the
  • Highest level of data quality throughout the organization
  • Contribute to establishing standards for data quality, usage, and definitions through tooling and scorecards
  • Elicit and document data requirements; aligning with business requirements
  • Collaborate in identifying system connectivity points with project conversion and competency center teams
  • Elicit and document business, technical and operational metadata from a variety of Costco systems
  • Drive discussions and decisions with technical data teams to produce solutions that will impact database
  • Models, data architecture designs, etc. based on profiling and data assessment
  • Follow standard SDLC practices including exhaustive documentation
  • 2 years of Experience with tooling related to conducting data analysis (SQL, Toad, etc.)
  • Experience and/or demonstrated ability to pick up new software skills in a minimum time frame
  • Must be well versed in Software Development Lifecycle including coding standards, version management etc
  • Must possess excellent analysis and data logic skills
  • Min of 2 years of Experience in developing scorecards, dashboards and Data Quality mappings
  • Min of 2 years of Experience with Data Quality tools, such as SAP Business Objects Suite (Data Services, Information Steward)
  • Must possess the ability to collaborate and effectively engage with individuals at all levels of the organization
  • Must have proven ability to manage priorities and timelines plus excellent communication skills
  • Must be detail oriented and possess strong problem-solving skills
  • 24/7 on call responsibilities on a rotational basis
117

Ccb-risk Data Quality Analyst Resume Examples & Samples

  • Collaborating with data owners / subject matter experts from the CCB Risk sub-lines of business to define and identify specific sets of data requiring data quality rules
  • Establishing a data quality methodology with a repeatable set of processes for implementing data quality rules, monitoring results, and triggering actions to improve data quality
  • Communicating data quality health results to senior management
  • 5+ years experience in data analytics, data management, data quality, or technical project management at a large firm
  • Bachelor's degree in a quantitative field such as Finance, Economics, Statistics, Mathematics, Computer Science, or equivalent business experience; Master’s degree preferred
  • Experience in data usage in management reporting, modeling, or analytics
  • Ability to work in a highly dynamic environment with changing and multiple priorities
  • Excellent communication skills (verbal and written), including ability to succinctly advise senior management of risks, challenges and potential solutions
  • Ability to construct effective management presentations on complex analyses and operational performance
118

Data Quality Analyst Resume Examples & Samples

  • A tenacious, methodical data analyst with experience drilling into data lineage and identifying metric definitions across a complex a large organisation
  • Thorough, detailed and organised to ensure excellence in delivery
  • A team player who would relish an opportunity to work within a high profile newly created team
  • Open to working in a flexible dynamic style as the new team embeds into the organization
  • To identify data metric definitions and interrogate data lineage across a wide range of metrics within Virgin Media
  • To interrogate data thoroughly to identify areas of duplication, repetition of metrics and recommend solutions for enhancements
  • To document all metric definitions and lineage
  • To monitor reporting quality standards across the business and to work with stakeholders and Quality Manager to identify opportunities for enhancements
  • To ensure robust checking and validation processes are adhered to ensure seamless integration of changes
  • To work closely with technology to ensure alignment and delivery
  • To establish strong working relationships with selected business functions enabling strong communication and expectation management
  • Contribute to development of a high -performing team culture within the IGO team focussed on excellence and high standard of delivery
119

Data Quality Analyst Resume Examples & Samples

  • 40% Activating existing partner relationships. Evaluating effectiveness of current partnerships and managing them on an ongoing basis. Seeks opportunities to enhance/extend successful partnerships by being an internal champion for the partnership, educating appropriate parties and coming up with creative ideas for improvement
  • 30% Identifies and vets prospective partners. Leverages his/her own network and sales skills as well as the reach of the NetJets Sales team to seek out and develop new partnerships with targeted "Brand-Right" partners. Establishes relationships and implements and activates successful partnerships. Negotiates deal terms
  • 20% Tracks effectiveness and ROI of potential and current partnerships. Reports KPI's of each partnership and ensures all contract deliverables are achieved
  • 10% Managing budgets, financial and management reporting and preparing necessary agreements
  • Proven track record in developing and delivering brand extension strategies that generate profits for high profile brands
  • Experience identifying, developing and managing marketing partnerships with luxury brands
  • Working knowledge of all Marketing channels employed by NetJets and proven experience directing the creation of highly impactful marketing plans to support partnerships
  • Significant experience working with a large outside Sales organization
  • Experience creating tools, processes and metrics to evaluate and assess the success and business value derived from Strategic Partnerships
  • Experience "thinking outside the box" and driving alignment on new thinking at all levels across a large and complex organizational structure
  • Possesses good judgment, strong collaborative skills, and the ability to navigate and influence across different functions in an organization
  • Experience marketing a service related product to high net worth individuals is desired
  • International marketing experience and experience utilizing marketing automation systems to implement segmented marketing strategies is a plus
120

Senior Data Quality Analyst Resume Examples & Samples

  • Leverage reports to identify accounts requiring stewardship based on prioritization set forth by our internal customers
  • Engage in research activities utilizing third party vendors and available public information to determine account firmographics and legal/hierarchical relationships
  • Edit and maintain data in MDM application
  • Support GEO Operations team requests and meet all agreed upon SLAs
  • Assist in the production of key performance indicators and analysis
  • Conduct ad-hoc data analysis
  • Create reports and presentations
  • Identify and resolve technical or process problems through interactions with appropriate support personnel
  • Continuously monitor the master data processes for improvement opportunities, provide recommendations and assist with implementing changes that increase efficiency
  • Act as subject matter expert
  • Participate in New Hire Orientation and On Boarding
  • Provide training and coaching to junior level analysts within internal team. Identify training and development gaps and create action plans to address
  • Produce and analyze weekly through put reports to ensure correct resource allocation and supply recommendations for team optimization
121

Data Quality Analyst Resume Examples & Samples

  • Analyzes and edits source information from varied sources to determine correct additions and modifications regarding entity records; enters appropriate data into CUF database. Includes researching biographical and demographic information (including but not limited to addresses, telephone numbers, date of birth, date of death, relatives, and employment information) using various approved internal and external vendors and websites
  • Utilizes complex database system tools to load, view, and adjust data for large projects
  • Identifies and corrects corrupt or inaccurate records; validates and ensures data integrity/accuracy, working closely with Assistant Directors, Director, other team members and other business units; participate in data management and auditing, querying Advance data for analysis, identification of anomalies, and data completeness
  • Reviews, analyzes, and interprets incoming data requests to support data integrity
  • Views incoming data with a critical eye, with the ability to ‘red flag’ anything that requires additional verification or information from the requestor
  • Proactively view data with an eye to how it will impact reporting
  • Proactively identify areas where data quality can be improved
  • Ensures a high level of customer service is maintained when receiving and handling requests from internal and external customers, representing the University and Foundation in a positive and professional manner. Assists in maintaining the Processing E-mail Inbox, researching and responding to customers’ questions, requests, and concerns. Confers with end users to determine specifications for their data
  • Explains system functionality to both internal and external customers
  • Provides and gathers input for the establishment of system policies and procedures; actively participates in project initiatives and decision-making opportunities around policies and procedures
  • Proactively and objectively identify and articulate opportunities for procedure improvement
  • Assists the Assistant Director in compiling and maintaining complete, cohesive, and accurate written documentation regarding all major policies and procedures of the Processing Department
  • Assists the Assistant Director in the training and supervision of new and temporary staff in the Gift & Records Processing Department, end users of Advance, and technical support staff
  • Uses current standards for indexing and coding within database to ensure that all data input is usable, recognizing and voicing when new standards are needed or standards are outdated and assisting in updating the necessary procedures
  • Uses interpersonal and communication skills (personal, written, and presentation) to work within a team and cross-functionally with other teams
  • Manages large record update projects working closely with customer to ensure accurate completion and an end result that facilitates the customer’s use of the data
  • Manages multiple projects, tasks, and responsibilities at one time
  • Bachelor’s degree or a minimum of four (4) years of experience in a related field, or equivalent combination of education and experience required
  • Six (6) months of prior database and/or other directly related experience required
  • Expert ability to maintain confidentiality of information
  • Expert ability to maintain high level of accuracy while meeting deadlines
  • Solid project management skills, including ability to prioritize and meet frequently changing needs
  • Adept at problem solving and using good judgment in situations requiring initiative and tact
  • Well organized, meticulous and goal-oriented with ability to take initiative
  • Must be able to work independently and as part of a team
  • Solid customer service skills with the ability to communicate effectively verbally and in writing
  • Solid ability to work as a lead in a team environment, including establishing and documenting procedures
  • Intermediate knowledge and experience in the use of various complex computer systems and proficiency with a wide range of software including but not limited to the Microsoft Office
  • Due to a high volume of data entry, inter-office correspondence, and donor correspondence, etc., an ability to type at an accurate speed of 45 words per minute is an absolute minimum requirement
122

Data Quality Analyst Resume Examples & Samples

  • Maintain knowledge of master data management, end-to-end processes, and of related IT solutions and capabilities
  • Deliver Project-Oriented Services
  • Possess strong knowledge of business process, data or information management, and data quality standards and processes
  • Must understand the importance and benefits of good data quality and champion results across functions
  • Focus on accuracy and quality of work
  • Ability to analyze data from multiple sources, driving accurate data being communicated to outside departments
  • Ability to work in a matrix environment with demonstrated ability to interface with a variety of cross functional business and IT partners
  • A sincere and contagious passion for building Under Armour. A fit with our cultural values
  • Bachelor’s degree with 3+ years of relevant work experience; or 2 years of additional work experience in lieu of a degree
  • 3+ years’ experience in data entry, maintenance, investigation, and reporting in an information management system or complex database
  • 1+ years of auditing data and root cause analysis experience
  • 1+ years of experience using SAP Information Steward or other data quality tools
  • 1+ years of experience using an ERP system. SAP master data acumen preferred
  • Proficiency with Excel at an intermediate level
  • Experience in consumer goods industry / manufacturing preferred
123

Market Data Quality Analyst Resume Examples & Samples

  • Establishing and implementing data management procedures, tools and methodologies to reflect the ongoing needs of the Interest Rates market
  • Work closely with other internal departments and resources including, Product Management and R&D to develop workflows, quality assurance processes and product enhancements
  • Responsible for providing customers with accurate and timely answers to their data related questions
124

Lead Modernization Data Quality Analyst Resume Examples & Samples

  • Utilize business analysis, technical, and soft skills to work across governance stakeholders to enhance data processes; resulting in high quality data across the enterprise
  • Data profiling, data quality rule creation, data remediation, and data assessment
  • Implement data quality rules across the Modernization data integration agile teams
  • Code data quality rules based on data governance requirements
  • Partner with data stewards and the data governance office on monitoring the status of exceptions and testing of new rules
  • Support data integration agile teams as a data quality SME
  • Drive the creation of data quality dashboards, and be responsible for monitoring and working with the business to cleanse data typing and profiling exceptions
  • Minimum of 8 or more years of experience in business systems analysis
  • 2-4 years of industry experience also preferred
  • Two years of experience managing technical projects in a complex environment
  • Ability to code in multiple languages
  • Business Analysis experience
  • Data Quality tool implementation experience
  • Metadata Management experience
125

Data Quality Analyst Resume Examples & Samples

  • Provide our users with a high quality, personalized level of support by phone and (primarily) email on a daily basis
  • Review application and data issues submitted by the customer and provide efficient responses
  • Work with the IT teams to understand the root cause for application/data issues
  • Perform analytics on discrepancies and issues and perform root cause analysis
  • Conduct quality assessments, trend analysis and provide management reporting on support metrics
  • Identify opportunities for system and application improvements to enhance the customer experience
  • Assist in the Quality Testing of new system functionality
  • Gain the respect of the customer and become a trusted partner
  • Special Projects as assigned
  • Excellent Microsoft Skills especially Excel and PowerPoint
  • Ability to quickly gain deep knowledge of the application and its navigation
  • Practical knowledge in importing data for use in spreadsheets, graphs, and flow charts
  • Highly self- motivated and directed
  • Passion for customer service with a strong level of critical thinking in order to quickly resolve issues
  • Excellent oral and written communication skills. Ability to understand others and clearly express thoughts
  • Ability to produce high quality work deliverables with high attention to detail
  • Ability to multi-task by managing multiple concurrent objectives, projects, or activities
  • Ability to adapt quickly to fast-paced changing environment and priorities
  • Motivation to take ownership of tasks and the determination to drive them to completion
126

Data Quality Analyst Resume Examples & Samples

  • 1-3 years experience in a relevant data management, report-writing, and/or analytics role, or equivalent classwork
  • Knowledge of MS Office including Excel and Access, other database applications, and/or SQL-based report writers preferred
  • Demonstrated data management or quantitative analysis a plus. On-the-job training provided
127

Data Quality Analyst Resume Examples & Samples

  • Intermediate knowledge of frequency and duplicate analysis, cross dataset dependencies, orphan `child data' rows, redundancy analysis; data extraction techniques and applications
  • Intermediate knowledge in Data Quality tools, SQL, SAS, BI tools or other analysis software
  • Intermediate knowledge of relevant industry data quality practices & methods and demonstrated ability to connect data creation, transformation and transmission lifecycles
  • Demonstrated ability to influence business decisions
128

Data Quality Analyst Resume Examples & Samples

  • Assess effectiveness of data quality improvement efforts within the department to achieve overall control objectives surrounding data quality and data analysis related to various reports such as regulatory and compliance reporting
  • Manage the data quality expectations of key stakeholders
  • Perform data analysis and profiling, review and fully understand regulatory requirements, work with stakeholders to define new DQ rules across multiple DQ dimensions
  • Participate in working groups directly and indirectly relating to accounts, metrics and regulatory and other reporting
  • Identify Critical Data Elements and facilitate discussion on data definition, format, and values
  • Manage data quality, monitoring, measurement and reporting activities to introduce industry best practices while increasing the trustworthiness of AIG’s data
  • Establish key relationships with various data quality stakeholders including Operations, Finance and Regulatory and Control and Audit
  • Fluency in Data Management and Data Governance disciplines in the financial services industry
  • Excellent communication, both written and verbal with the ability to communicate complex ideas clearly
  • Strong team player; flexible, adaptable and able to work in fast paced multi-location environment
  • Willingness and ability to share information, transfer knowledge and expertise to team members
  • Strong communication skills, both oral and written
  • Exposure to Regulatory reporting
  • Familiarity with key regulatory requirements that affect how data is generated, manipulated, recorded and reported
  • Bachelors of Science: Computer Science, Mathematics, Physics, Information Management, Statistics
  • Accounting or Finance degree / CPA, MBA a plus
129

Senior Data Quality Analyst Resume Examples & Samples

  • Work with our business end users to understand their data quality challenges and then formulate solutions that facilitate the analysis monitoring and treatment of these
  • Lead and direct on and offshore teams in delivering solutions that measure and provide perspective on business problems that manifest themselves into data quality issues
  • Document processes and solutions that reflect current and proposed activities to a standard that can be understood by both business and technical audiences
  • Promote the awareness of data quality across the business by highlighting the benefits of improving the quality of data and understanding the implications of poor data
  • Work with functional teams to understand key measures and goals for each; providing a roadmap for developing insights from metrics, data and reporting to drive achievement of those goals
  • Apply your expertise in data mining, problem solving, quantitative and qualitative research and the presentation of data to surface new insights for the business and to ensure business decisions are sound and data-driven
130

Data Quality Analyst Resume Examples & Samples

  • Strong analytical aptitude and interpersonal skills
  • Excellent written, communication and presentation skills
  • Intermediate to advanced Excel and Access skills, SQL preferred
  • Analysis and solution development
  • Claims Coding procedures
  • Medicare risk adjustment processes
  • Medicare stars metrics
  • Quick learner and ability to understand new concepts
  • Accomplish goals with minimal supervision
  • Adhere to a code of ethical behavior
  • Work cooperatively, positively, and collaboratively in an interdisciplinary team
  • Ability to think analytically to resolve issues
  • Management of multiple tasks and prioritize work to adhere to deadlines and identified time frames
131

Data & Quality Analyst Resume Examples & Samples

  • Assist the project team in delivering a quality software product through collaboration with the project manager, product owner, business analyst, and software engineers
  • Analyze, review product backlog stories, write, and execute all testing related efforts, i.e. creation of testing-related documentation, including test plans, test cases/scripts, and defect reporting, assessing quality and associated risk
  • Define and participate actively in functional, system, integration, regression, and UAT testing activities within project timelines, identifying/reporting on software defects
  • Create, update, and review defect tracking logs and work with project teams to ensure all defects are resolved across the project(s)
  • Utilize established quality best practices to increase the quality of the software being deployed
  • Define, maintain, and enhance test cases following established test case standards
  • Collaborate with project managers, software engineers, product managers, and other team members in an agile environment to ensure successful implementations
  • Demonstrate ability to effectively work on multiple assignments, activities, or projects is required, as well as demonstrated ability to work on large complex projects spanning multiple applications, as well as multiple organizations and business units
  • Obtain and maintain a working knowledge of the Valuations business and applications, customers, methodologies. Become a subject matter expert in all applications
  • Mentor less experienced team members
  • Bachelor’s Degree in Business Management/Administration, computer sciende, or a related field, or 5 years of equivalent work experience
  • Superior professional presence with excellent verbal and written communication skills
  • Strong negotiation, influence, and decision making skills
  • Excellent organizational skills in managing timelines for multiple implementations
  • Excellent analytical skills and attention to detail
  • Ability to build strong working relationships across the organization at all levels
  • Proven ability to successfully meet or exceed expectations in a fast-paced, high change environment
  • Strong group facilitation skills
  • Experience with agile development methodologies preferred
  • Strong technical background preferred
  • Proficient/experienced in SQL
  • Good understanding of and capable of writing test scenarios, test scripts, and test cases
132

Rohq-cto-cdo Data Quality Analyst Resume Examples & Samples

  • Advance Excel and MS Office tools
  • Business Objects Software and Report writing, an advantage
  • Familiar with databases like MS Access, or SQL, an advantage
  • Strong analytical, evaluation and interpretation skills
  • Excellent planning and decision making abilities
133

Data Quality Analyst Resume Examples & Samples

  • 70% of the time will be spent working on Data Quality Rules and related activities across all in-scope AML initiatives. This includes data quality assessment of existing rules as well as working the CDEs down to the source systems, working with the AML Business and Governance to create the rule request for hand-off to EDG for review. Participate in the EDG review with the Data Operations manager to jointly support AML needs and justifications
  • 20% of the time will be spend as the AML Data and Analytics Hub MetaData tool from pilot through rollout. The incumbent will represent needs and requirements to the EDG/Hub Teams for inclusion in the tool. The incumbent's goal is to ensure the tool serves AML Data and Analytic's needs and provides AML D&A with a self-service capability. In doing so, the incumbent will act as the SPOC to EDG, representing AML. The incumbent will work with the AML Data Operations manager to bring key areas of improvement and focus on the tool to the EDG/Hub Teams
  • 10 % of the time will be performing Data Lineage spot checks as required by the AML Data and Analytics team; driving results for correction back to the IDP data Lineage COE and the MetaData tool support team. In addition, the incumbent will support the US and CA Model Documentation teams by reviewing model documentation with respect to Critical Data Elements, Data Flows (Source to target, systems doc) as well as addressing DQ questions and concerns
134

Data Quality Analyst Sita Onair Resume Examples & Samples

  • Appreciation of and ability to apply Data Quality principles, theories, concepts and techniques
  • Understand SITA policies and processes, contributing to their establishment
  • Can take the lead on specific Data Quality assurance related task
  • Familiar with the use of data quality assurance tools
  • Demonstrate an appreciation of SITA both functionally and across solution lines
  • Demonstrate an appreciation of technology and the competitive positioning of technology
  • Driven business solutions, preferably SITA applications/solutions
  • Knowledge of business standards and maturity models e.g. ISO9001, CMMI etc
  • Specific experience of airline industry would be of benefit
  • Strong business software application skills (MS Excel, Access, Word, PowerPoint, Project)
135

Data Quality Analyst Resume Examples & Samples

  • Solid and demonstrable analytical skills/mindset
  • Previous experience working on information systems
  • PC literate
  • Team player attitude with the ability to take ownership of queries, and discrepancies
  • Previous energy data knowledge would be advantageous but not essential as training will be provided
136

Data Quality Analyst Resume Examples & Samples

  • Working knowledge of data analysis tools
  • Working knowledge in Data Quality tools, SQL, SAS, BI tools or other analysis software
  • Working knowledge of relevant industry data & methods and ability to connect external insights to business problems
  • Working knowledge operating data quality tools and creating data quality metrics and dashboards
  • Demonstrates working knowledge in: understanding and correcting data discrepancies; reading and translating data models; data querying; identifying data anomalies and root cause analysis
137

Data Quality Analyst Resume Examples & Samples

  • Collaborate in an agile manner with team, clients, & auditors
  • Document, maintain and control the processes that ensure data accuracy and integrity across systems
  • Ensure a positive end user and community experience
  • Manages user queries & data quality management training
138

Lead Data Quality Analyst Resume Examples & Samples

  • Assess and develop high level design requirements for project and communicate in writing or in meetings with development team. Assess detailed specifications against design requirements
  • Review application in progress of development to ensure compliance with overall design parameters and corporate development standards. Guide programmers/developers on technical issues
  • Experience in Data Quality/Data Governance space
  • Good SQL and UNIX skills
  • Experience working in agile project implementation
  • Experience with Informatica or other ETL/Data Quality tools, nice to have -experience with Big Data and Cloud technologies
  • Technical leadership or Project leadership experience preferred
  • Excellent analysis skills
139

Data Quality Analyst Resume Examples & Samples

  • Implement standards and driving through initiatives to improve data quality across the business
  • Work with business representatives/SME’s to conduct root cause analysis of DQ issues
  • Work with business SME’s to impact assess requested changes from a DQ perspective
  • Run DQ reports / data profiles for regular and ad-hoc DQ reporting and dashboards
  • Work with business SME’s and Data Owners to define and implement data quality rules
  • Spot patterns in the data by analysis large data sets and profiling results
140

Credit Risk Technology Data Quality Analyst Resume Examples & Samples

  • Meet with Credit Risk, Middle Office, Risk Reporting and other user groups frequently, to ensure that the DQ issues are correctly documented, understood and analyzed
  • Drive solutions by developing options, and quickly working with impacted teams to gain agreement of the most appropriate option to move forward
  • Track milestones, and report issue status
  • Document detailed test cases and facilitate testing with stakeholders where necessary
  • Effectively communicate the closure of DQ issue through testing, signoff and documentation
  • Propose & implement Operating Model improvements to streamline the process where necessary
  • 4+ years in Business Analysis
  • 4+ years of technology experience, preferably in financial services
  • Ability to query data using PL/SQL
  • Strong problem-solving skills with ability to analyze large volumes of data when necessary
  • Ability to clearly communicate, both verbally and in writing
  • Ability to facilitate and run meetings with a variety of stakeholders (technologists, business users, etc)
  • Experience writing and reviewing detailed business and functional requirements documents within the Financial Services industry
  • Experience of JPMorgan’s Risk Infrastructure is desirable
  • Team player who openly shares knowledge for the benefit of the entire team
141

Data Quality Analyst Resume Examples & Samples

  • Leverages intermediate data management knowledge to maintain and define data quality and metadata processes, participates in development of data quality rules, thresholds, and standard metrics/quality-expectations for data elements that support critical business processes. Participates in and may lead discussions with cross-functional teams
  • Profiles data (statistical analysis and assessment of data). Documents effectiveness of data quality controls and metadata capture, and identifies improvement opportunities. Participates in development of best practices and tools based on business needs
  • Leverages intermediate knowledge to implement controls to mitigate data quality risks including monitoring data quality results, reports and dashboards. Ensures adherence to enterprise data quality programs and standards. Ensures that the data quality corrective action plan is thoroughly documented
  • Checks and reviews failures from the compliance assessment checks, and recommend corrective action. Partners with enterprise data and analytic stakeholders to ensure relevance of criteria for data quality process compliance assessment
  • Manages ongoing metadata repository management and proper metadata association
  • Leverages intermediate data management knowledge to assess impact of proposed changes to reference data, and to coordinate changes with impacted business areas
  • The DQ Consultant must also document at a functional level how the procedures work within the data quality applications
  • Collaborate with IT to onboard and identify new data sets, sources systems and data mapping requirements
  • Responsible for standards when creating mapplets and code migration from development thru test
  • Designs the processes to measure data completeness, correctness, accuracy and integration throughout the enterprise
  • Development of Data Quality Dashboards and maplets leveraging Informatica IDQ. Understands Data Services such as address, phone and email validation
142

Data Quality Analyst Resume Examples & Samples

  • Analyze data and create detailed reports to identify and resolve data quality issues to ensure quality assurance
  • Responsible for validating new and updated data as it feeds into the customer database from global business applications
  • Perform ongoing profiling and analysis of the customer data and serve as subject matter expert for customer data
  • Test, evaluate, and improve the efficacy of all data collection and data quality processes
  • Design and develop processes and policies related to customer data quality
  • Identify areas for data quality improvement and problem resolution through the appropriate choice of error detection and correction, process control and improvement, or process design strategies
  • Excellent demonstration of effectiveness in working with multi-functional teams in a technical production environment
  • Demonstrated ability to respond to customer requirements with timely and effective technical solutions
  • Excellent ability to synthesize data from multiple sources
  • Possess an analytical mindset and critical thinking skills
  • Ability to multitask without sacrificing quality and accuracy
  • Proficient in creating, maintaining, and manipulating Excel spreadsheets
  • Proficient in Microsoft Word, Outlook, and PowerPoint
  • Excellent interpersonal skills and ability to work with people at every level in the organization
  • Experience with technical writing and/or process documentation, from creation of new documentation to proofreading and editing
143

Data Quality Analyst Resume Examples & Samples

  • Works with assigned areas to facilitate data management needs
  • Develops detailed data analysis tools as requested through available system resources including, but not limited to, Midas+ Care Management, Midas+ Statit, and Microsoft Excel
  • Ensures adherence to departmental, industry, and/or regulatory standards by documenting, maintaining, and enforcing system policies, procedures, and methodologies
  • Provides effective use of departmental information system by providing initial training for new users and training departmental staff of system upgrades, changes, and new functions as necessary
  • Provide clinical decision support to any department/committee upon request
  • Identifies and effectively communicates regarding trends, patterns and problems for quality improvement monitoring and/or research
  • Develops educational tools, such as detailed instructions, to aid users with all functions of responsible data management systems
  • Responsible for identifying areas of improvement and making recommendations based on appropriate standards
144

IT Data Quality Analyst Resume Examples & Samples

  • Bachelors Degree or equivalent experience; At least 5 years experience in Financial, Consulting, Auditing and IT preferred
  • Should be detail oriented
  • Excellent working knowledge of SAP/Business Objects and ability to use Business Objects to develop new reports
  • Ability to adapt to a constantly changing environment and work independently
  • Excellent Powerpoint and reporting skills are required
145

Small Business Data Quality Analyst Resume Examples & Samples

  • Provide expertise in the area of data assigned to them using an enterprise lens
  • Must have the ability to effectively communicate and present solutions to senior leadership
  • Support the planning and analysis of complex business data usage problems and can anticipate and solve data capturing issues
  • Identifies and escalates issues in Key’s overall data environment, in addition to partnering to implement break-fixes and enhancements
  • Strong familiarity with loan and customers systems, as well as customer information databases
  • Maintain accurate data across multiple systems and businesses (shared clients) within established ranges established by Data Management/Governance team
  • Store all data in agreed upon standard format
  • Ensure all client data attributes conform to established requirements
  • Monitor data changes; do the data elements fit together over time and across related tables
  • Identify and raise issues quickly to Data Management/Governance- strong critical thinking skills
  • Deep understanding of Small Business clients and systems that capture data- strong systems thinking skills
  • Participates in regularly scheduled and ad hoc Data Steward meetings, forums, work groups, and educational sessions
  • Participates in training and meetings to facilitate the sharing of data across functional areas and understanding of stewardship best practices
  • Improve efficiency and lower business risks by ensuring that the highest quality data is delivered managed and maintained via data management/governance strategy
  • Define data critical attributes and partner with Enterprise Data Management to develop data standards, procedures and policies for master data
  • Perform ongoing analysis of the current master data processes and partner with Enterprise Data Management to develop strategies working with key stakeholders to improve process efficiencies and improve overall satisfaction of internal customers
  • Work within the line of business to develop and maintain data quality rules, procedures and policies
  • Leverage dashboards/metric reports and conduct data analysis to measure effectiveness of data governance program within organization
  • Resolve and escalate data quality issues, research and implement solutions to correct problems at the source where possible
  • Implement and lead data cleansing activities
  • Enter and maintain master data and provide guidance to other data team members to support business processes
  • Coordinate flow of information within line of business
  • Champion change management and provide training
  • Coordinate data quality efforts between business banking and retail segment teams
  • Effectively partners with various teams that work collectively to capture, maintain and report Key’s data
  • Identify continuous improvement opportunities across Small Business and Key
  • Strong ability to operate in a multi-team environment
  • 3-5 years experience with LOB data systems
  • 5+ years previous financial services experience
  • Financial analyst experience- working with data
  • Familiarity with Six Sigma/Lean process concepts
  • Working experience with SQL
  • Salesforce.com for relationship management tracking, CIX/MDM, client profitability
146

Data Quality Analyst Associate Resume Examples & Samples

  • Communication skills, both verbal and written
  • Computer literate including experience with Word and Windows
  • Typically has 0-1 years of experience. This is considered an entry level job
147

Data Quality Analyst Resume Examples & Samples

  • Support/lead various data cleansing and enrichment activities within Mylan’s key ERP systems
  • Must be able to understand and define business rules, work with varying data formats, and develop metrics to monitor data quality
  • Coordinate ongoing monitoring, analysis and reporting of data cleansing activities
  • Prepare and consolidate data for established, periodic review and maintain data quality dashboards
  • Assisting in root cause analysis, investigating any data errors or anomalies and assisting in the implementation of solutions to correct data problems
  • Supports and supervises data acquisition and reporting process for assigned projects, working with multiple operational departments
  • Demonstrated experience in data management and data cleansing
  • Must possess strong analytical, organizational and time management skills
  • Project coordination experience a plus
  • Ability to present technical and non-technical information in appropriate terms to suit the audience and purpose
  • Extensive knowledge of MS Office applications and advanced Excel and Access skills. Access VBA a plus
  • Experience with data quality analysis tools a plus
  • Demonstrated ability to deal with ambiguity
148

Senior Data Quality Analyst Resume Examples & Samples

  • Understand and define business rules, work with varying data formats, and develop metrics to monitor data quality
  • Coordinate ongoing monitoring, analysis and reporting of data quality metrics
  • Recommend establishment of new or modified reporting methods and procedures to improve data collection and reporting
  • Work with Global Data Quality Manager to develop quality reporting tools and reports
  • Assist in the continuous improvement of the Data Quality Management program by refining processes and methods, tools and systems
  • Communicate Data Quality non-compliance to Stewards and Business users to resolve issues
  • Minimum 3-5+ years relevant data analytics or data quality management experience
  • Strong understanding of data quality management principles
  • Passionate about the value of quality data
  • Must possess strong analytical, communication (written and verbal), and organizational skills
  • Hands on experience and current skills developing and performing data quality analysis with a variety of software tools and SQL. Experience with SQL Server and Tableau a plus
  • Bachelor’s degree in relevant discipline
149

Data Quality Analyst Resume Examples & Samples

  • 0 - 2 years experience in a data management, data quality or business application function
  • 4 years experience in data management, data quality or business application function or related experience can be substituted in lieu of a degree in addition to the minimum years of experience required
  • IBM Infosphere tool suite
150

IT Data Quality Analyst Resume Examples & Samples

  • Assesses the relative priority of the request against others from same or other business teams
  • Gathers information and review processes
  • Implements new procedures, metrics and targets
  • Manages planning, operation and problem solving so that team meets its goals and SLA
  • Ensures team stays on schedule and meets their daily requirements or performance metrics
  • Works closely with other team members to resolve issues/ incidences and report as required on performance, issues and resolutions
  • Disseminates information to team and forward information to line up
  • Bachelors Degree or equivalent experience; At least 2+ years exp in accounting, auditing, IT, finance
  • Advanced knowledge of SQL and Access
  • Demonstrable time and team management skills, with the ability to work effectively in a cross-functional envior
151

Data Quality Analyst Resume Examples & Samples

  • Strong client relationship and rapport building skills with high ATD
  • Goal oriented and target driven with trouble shooting skills
  • Customer focused with a desire to help
  • 1-2 years experience working in an operational role involving customer data
  • Experience with IBM’s MDM tool sets an advantage
152

Data Quality Analyst Resume Examples & Samples

  • 1 to 5 years of Hadoop development
  • Strong documentation
  • Experience looking at the quality of the data before, during, and after to make sure all data is correct and complete
  • Someone who can look at their lifecycle and be proactive on where the points in the ingestion are not good/not correct
  • The consultant will be implementing/monitoring the data to make sure all ingestions are happening that all data is correct and complete
  • The candidate will be running with data quality process for the team. They will be in charge of implementing data profiling and implementing new controls into monitoring the data quality
153

Data Quality Analyst Resume Examples & Samples

  • Confer with client management and unit leadership to define processes, policies and standards relating to data quality
  • Develop and use data quality metrics that can be used to evaluate reports and other outputs of data-related applications. May render these metrics into dashboards or other tools that can be accessed by others
  • Draft, edit, and complete data quality business rules for use by developers or those extracting data or preparing reports from enterprise databases
  • Identify data quality issues in reports, applications, or downloads accomplished by unit; assess causes of problems, and lead or participate in efforts such as data cleansing, data certification, and the like to remediate problems
  • Take lead on portions of data quality program such as development and use of data quality tools to advance the program within the unit and with client users/custodians of data
  • May coach or mentor less experienced staff on advancing data quality program
  • 4+ years of related experience
  • Strong Data analysis skills and the ability to use different databases (sybase/oracle) and influential in building consensus and driving decisions
  • Strong data management skills , reviewing ,managing and escalating data issues
  • Must be able to troubleshoot and resolve data issues for internal and external users
  • Technical knowledge in doing UAT. XML file based testing knowledge is mandatory
  • Must have experience developing test scripts, test scenarios in addition to documenting execution and test results
  • Excellent Communication Skills and the ability to communicate effectively across all levels of management
  • Must have experience with Toad, Oracle, ALM
  • Must have strong MS Office skills
154

Data Quality Analyst Resume Examples & Samples

  • Assist with the creation and testing of a tool that will automatically add and remove retail locations across the US, UK, and Canada
  • Review and validate new and existing automated data acquisition established by Content Acquisition Specialists
  • Hands-on involvement in the testing of a new retail content collection tool to ensure that products conform to business requirements/company policies, software quality standards, and established procedures
  • Debug and maintain existing retail data acquisition to ensure accuracy and timely updates of retail footprints
  • Conduct web research to create new comprehensive profiles of retail tenants not currently being systematically acquired
  • Document tenant movement across the US; specifically store growth in particular Markets or States
  • Maintain complete and accurate Tenant rosters for Commercial buildings
  • Investigate new property and tenant leads
  • Document and profile corporate structures
  • Be curious by nature, and demonstrate this ability through investigative research
  • Have strong data and analysis skills, including expertise with MS Office and experience with MS SQL Server (any experience with SSRS is a plus)
  • Strong understanding of HTML, CSS, JavaScript as well as high level knowledge of website architecture and HTTP
  • Have an understanding of quality assurance test methodologies, deliverables, processes, strategies, techniques and the software development life cycle (SDLC) is critical
  • Be persistent in the pursuit of information
  • Accurately capture large data
  • Have experience providing a high level of customer service
  • Manage multiple responsibilities and excel in a fast-paced environment
  • Be goal-oriented, competitive and motivated by success
155

Associate Data Quality Analyst Resume Examples & Samples

  • Identify and implement best practices for maintaining biographical and demographic information in City of Hope’s fundraising CRM and online fundraising applications
  • Proactively identify, collect, and enter into CRM, data that will ensure we can successfully segment, analyze, codify, predict, and model that data as per the needs of the Office of Philanthropy and Senior Leadership
  • Ensure that the data in CRM is accurate, robust, reliable, accessible and secure
  • Ensure optimal health of the CRM system
  • Lead the elimination of duplicate accounts within Philanthropy fundraising applications by deleting and merging accounts as necessary
  • Review and correct data from internal and external sources. Track all to identify data errors
  • Enforce processes for accountability related to Data Quality Improvement Program
  • Develop and maintain strong working relationships with Prospect Development team and teams across the Office of Philanthropy
  • Seek creative, out of the box, solutions with business partners related to the tracking and entry of data
  • Adhere to established data management service level agreements
  • Update department operational manual, instructions and procedures, as needed
  • Lead in the identification of processes that require improvement within the Data Quality Specialist purvue and participate in the resolution and improvement tasks for those identified processes
  • Assists in the completion and assignment of updates identified through reports, queries or mailings, as assigned
  • Provides weekly updates on the data/dashboards to leadership on Data Quality Improvement Program
  • Evaluates automated systems for Data Quality Improvement Program and databases to proactively improve efficiencies
  • Participates in user acceptance testing for system changes or enhancements that directly affect department’s centralized processes
  • Work on special prospect as assigned by the Sr. Manager of Information Solution
  • Proficiency in Microsoft Office Suite, with Intermediate to advanced skills in MS Word, MS Excel and MS Access
  • Demonstrated ability to work independently, set priorities and complete projects within specified timeframes
  • Must be able to work well under the pressure of deadlines, be able to handle several projects simultaneously, and be able to shift priorities as needed
  • Must have impeccable attention to detail
  • Ability to deal with confidential matters with tact and sensitivity
  • Ability to communicate technical concepts to non-technical audiences
  • Strong self-motivation, initiative in follow up, problem solving and analytical skills, and a drive to meet set goals
  • BA/BS in healthcare, business or IT related field
  • Knowledge of fundraising strategies, techniques, and systems
  • Experience analyzing high-volumes of data from varying sources; demonstrated familiarly with industry-standard sources of data
  • Solid understanding of database concepts and metadata components strongly desired
  • Familiarity with Blackbaud CRM
  • Good aptitude with figures and ability to operate a ten-key adding machine by touch; type 45 WPM
156

Analytics Center of Excellence Senior Data Quality Analyst Resume Examples & Samples

  • Minimum of five (5) years experience with relational databases (Teradata, SQL Server,Oracle, etc.)
  • Experience with SAS DataFlux, SAS DI, Unix/Linux, Hadoop, Hive, R, Python, GIT, Jenkins, Source Tree preferred
  • Must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future
  • Highly organized with ability to handle multiple projects simultaneously, requiring little direct supervision
  • Ability to think creatively and work well both as a part of a team and as an individual contributor
157

Senior Business Intelligence Data Quality Analyst Resume Examples & Samples

  • Provide technical and thought leadership in a collaborative, cross functional BI environment
  • Provide direction and assistance to the business on how to obtain business value from data, as well as providing guidance on where the correct data should be obtained within the BI ecosystem to support various business processes
  • Communicate and assist with specific, actionable direction to Project Managers, Architecture, Development, Test, and Application Support teams to assure projects do not yield business specific or fragmented solutions, and that they address appropriate Data Quality and Supportability concerns
  • Proactively evaluate, take action to minimize, and execute audits of data and processes that pose risks to quality and to the BI ecosystem, and provide multiple viable options for mitigation of such risks
  • Consult and participate in deep dives into complex technical issues, their root causes, and their solutions
  • Provide specific feedback on data, design paradigms, and implementation approaches that are problematic from data quality, data usability, timeliness, and performance perspectives
  • Assist with designing, implementing, and engaging Data Governance processes and teams to assure smooth process operations, quality data, and proactive data quality
  • Provide leadership and mentoring to less experienced team members
  • Foster a more cohesive Culture of Quality through engagement with EIT and Business partners
  • Identification and root cause analysis of data or process anomalies, and follow up with DevOps, Architecture, or Data Governance teams for issue resolution
  • Consults with: EIT BI Individual Contributors, Principal Analysts, Architects and Solution Owners, All levels of EIT Management, and Business Stakeholders
  • Bachelor of Science in Computer Science, Informatics, Information Systems, or other relevant fields
  • Total experience with BI Analysis, Design, and Development 5 years
  • Experience interfacing with business and EIT partners: 5 years
  • Business Intelligence and Data Warehousing: 5 years
  • Business Objects, Tableau, or other Analytics UI/ Visualization tools: 5 years
  • Expert level SQL skills: 5 years
  • BI Requirements and Functional Specifications: 5 years
  • Experience with Data Quality, Data Governance, and Data Stewardship processes: 5 years
  • Experience working with SCRUM or other AGILE methodologies in a DevOps environment, utilizing tools such as Rally, Scrum Wise, Agile Workbench or other: 3 years
  • Business Metrics: 5 years
  • Teradata or other major RMDBs: 5 years
  • Informatica or other ETL tools: 5 years
  • Talend, Oracle DQA, Ataccama DQC, or other Data Profiling tools: 5 years
158

Data Quality Analyst Resume Examples & Samples

  • Normally receives little instruction on day-today work, general instructions on new assignments
  • Works under general supervision of more experienced Operations Quality team members
  • Uses expertise of more senior level Data Quality team members and leverages additional resources to confirm solutions
  • Actively contributes to the results of a team
  • Typically has 1-3 years of directly related experience
159

Data Quality Analyst Resume Examples & Samples

  • The Data Quality Analyst is critical to the organization in ensuring execution and documentation of defined business rules
  • This role will collaborate with all business areas in ensuring identification, prioritization and maintenance of Critical Data Elements (CDE) for BCUS’s internal and external reports
  • Accountable for the identification, prioritization and maintenance of Critical Data Elements (CDE) for BCUS’s internal and external reports
  • Accountable for the execution of defined business rules for local Critical Data Elements and documentation of the results (e.g. data quality material risk, data quality defect count etc.)
  • Establish a process to capture, prioritize, triage and manage data quality issues across BCUS’s internal and external reports, including issues for other controls (e.g. reconciliations, EUCs/spreadsheets etc.)
  • Accountable for remediation tracking of issues within established SLA’s
  • Data Quality measurement and monitoring metrics on dashboards/scorecards
  • Bachelor’s degree and/ or equivalent work experience
  • 1 + years Financial sector experience
  • 1 + years of data management and or control governance
  • Excellent interpersonal skills, especially with executive level customers and partner, as well as, internal and external contacts
  • Ability to work collaboratively with internal and external constituents
  • Highly motivated, energetic, extremely personable, comfortable working closely with executive management
  • Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills. Draws upon the analysis of others and makes recommendations that have a direct impact on the company
  • Proficient with Microsoft Office Suite of programs, in particular advanced Microsoft Excel skills
  • Demonstrated capability to work within a fast-paced and evolving environment with multiple deadlines and competing priorities
  • Able to quickly identify possible compliance issues
  • Strong communication skills (oral and written)
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Data Quality Analyst Resume Examples & Samples

  • Must have the ability to effectively interface with all internal APC customers as well as all cross functional teams relevant to data reporting (Business Intelligence, Order Management, Analysis)
  • Must be proficient in Excel, and PowerPoint
  • Technology savvy with the ability to learn new applications and concepts
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Data Quality Analyst Resume Examples & Samples

  • Investigate data flows, data content,
  • Profiles data from different sources and determines whether and how data can support business and data requirements of its intended use
  • Publish data quality scorecards for transparency and planning purposes
  • Work with internal and external stakeholders to remediate incorrect, invalid, or non-conforming client-provided data, survey data, and Client Organization hierarchies
  • Technical understanding of Master Data, data standards, and business glossary
  • Bring recommendations to the DG Steering Committee and act as SME
  • Researches new technologies while keeping up-to-date with technological developments in relevant area
  • Candidates should have a solid foundation in data model concepts, master data management, healthcare data, operational process, SDLC, project management, and data profiling. The ideal candidate for this opportunity will possess the following work experiences
  • Proficient skills and knowledge of data quality tools, data quality disciplines and technologies to assert and maintain control over master data
  • Knowledge and usage of ER/Studio, Informatica, Azure Data Catalog, SSIS, MS Master Data Service (MDS)
  • Client service oriented
  • Ability to analyze data problems and determine solutions using process and creative problem solving
  • Roles in both data-related business and technology positions
  • Proven ability to turn vision and goals into actionable plans
  • Must be able to incorporate the company’s long-term strategy into activities
  • Knowledge of Data Governance policies, processes, and organization
  • 3+ years of experience in Information Management
  • 1+ years of experience in Data Governance
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Data Quality Analyst PSE Resume Examples & Samples

  • Weekly Facility variance analysis (OTC/SFT) for Top 50 Fed reporting team
  • Weekly Gross CE (Gross MTM) and Collateral Posted in Excess Variance Analysis (PSE - OTC for FED Top 50 Reporting )
  • A comprehensive knowledge of the risks associated with trading book products including OTC Derivatives and Securities Finance Transactions
  • An in-depth understanding of the calculation of PSE for trading book products
  • A proven track record of successful project management of multiple priorities and dealing effectively with demanding business partners
  • An understanding of the legal agreements supporting trading book products
  • Experience of exerting influence in order to ensure that deliverables are met
  • Excellent people skills: ability to interact successfully with regulators, business partners, technology teams, our technical infrastructure groups and technology managers
  • A high competency level with MS Access/Excel/Project and SQL
  • Degree or post-graduate Qualification
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Logis Data Quality Analyst Resume Examples & Samples

  • Supply Chain and/or Finance (Accounting)
  • Data modelling and normalization principles
  • Data quality principles
  • Good oral and written communication skills
  • A good understanding of the System Development Life Cycle
  • Innovative, dedicated and committed to achieving results
  • Self-motivated and able to adapt quickly
  • Ability to work under pressure and without close supervision
  • Probing, listening, problem solving, decision making and conflict management skills
  • Time Management and Project Reporting; and
  • PC skills (MS Office Suite specifically a good working knowledge of Word, Excel, and PowerPoint, NetMeeting, Web Technology, etc)
  • Willing to use programming experience to conduct investigations and implement new systems
  • Recommended detail skills in the technical environment (i.e. products used by Application Maintenance) namely
  • XML
  • VB.NET or C#.NET
  • Word/Excel Macros
  • Natural (optional)
  • Adabas (optional)
  • Matric and relevant diploma / degree
  • Minimum 2 but no more than 4 years relavant working experience
  • Experience in government Supply Chain Management systems and processes relating specifically to Asset Management, Inventory management or Procurement to Payment a distinct advantage
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ACE Senior Data Quality Analyst Resume Examples & Samples

  • BA/BS in Computer Science, Engineering or a related field
  • Minimum of five (5) years experience in data extraction, transformation,and database development
  • Minimum of five (5) years experience management / data governance practices, business and technology issues related to management of information assets and approaches related to data quality
  • Experience with SQL and/or SAS
  • Experience in developing and executing data profiling, job flow development and data quality assessment / monitoring
  • Ability to communicate effectively to both technical and non-technical colleagues and to management
  • Self-driven to initiate, self-disciplined to document and detail oriented to deliver quality work
  • Ability to apply experience based knowledge and leadership skills toward organizational goals
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Data Quality Analyst Resume Examples & Samples

  • Work with business users to capture and analyse requirements from a data quality perspective
  • Collaborate with project teams to ensure best practices and data quality requirements are taken into account during the earliest phases of the project
  • Design, implement and execute test campaigns to validate user stories delivered during the project
  • Contribute in defining and implementing KPIs to measure data quality across the entire data pipeline
  • Automate quality control processes performed during development phases
  • Proactive in performing quality control operations such a monitoring and fixing data quality issues
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IT Data Quality Analyst Resume Examples & Samples

  • Bachelor degree and Product Data Management or Database application experience preferred
  • 2-5 year experience in similar role
  • Proficient with Microsoft Excel and Microsoft Access. Understanding of MS SQL databases preferred
  • Knowledge of product management software, data mapping, analysis and validation practices
  • Possess strong attention to detail and strong analytical and observational skills
  • Ability to analyze large quantities of data, meet scheduled deadlines, understand product data needs and implications of incorrect data entry
  • Capable of formulating tolerance rules, creating event triggers, and resolving data entry discrepancies
  • Ability to communicate project status via project management software
  • Worked in Manufacturing and/or Distribution Industry with Specific experience with Manufacturing and/or Distribution technologies and applications including ERP
  • Technical competency in data analysis and reporting
  • Familiarity with data base applications, particularly MS SQL. Proficiency with MS Access and Excel required. SQL report writing or Crystal Reports experience beneficial
  • Report validation experience
  • Workflow diagrams
  • Analytical and methodology
  • Ability to communicate ideas in both technical and user-friendly language
  • Create and maintain data mapping documents, include fields, acceptable values, business use
  • Define/develop data mapping from current system to proposed system data fields
  • Strong communication and influence skills and experiences
  • Speak clearly and persuasively in positive and difficult situations. Strong written and verbal communication skills
  • Ability to communicate with all levels within the organization
  • Cross culture awareness and experience in conducting business in multiple locations
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Data Quality Analyst Resume Examples & Samples

  • Performs business requirements analysis for all data modifications associated with population of the data warehouses and extraction of data from the data warehouses
  • Coordinates regression testing efforts with the data consumers, data architecture groups and database architecture teams
  • Creates estimates for assigned work and communicates these to management
  • Creates requirement specifications to document all data model changes
  • Creates technical documentation such as data extract specifications, functional specifications, and report specifications
  • Responsible for creating and updating data mapping documents and data load validation rules
  • Creates test check lists, test strategy documents
  • Thoroughly executes test plans to ensure accuracy of data loads and extracts
  • Documents all logic and data quality issues; works to resolve them; reports progress on problem resolution to management
  • Devises improvements to current procedures and looks for new ways to increase efficiency and accuracy
  • Performs workflow analysis and recommends quality improvements to upstream processes where data quality issues exist
  • Maintains expert level of business functional knowledge for an assigned data domain
  • Promotes a high level of data quality awareness across our organization
  • Reviews specs and test plans to ensure accuracy and conformance to established standards
  • Requires BS/BA degree or equivalent experience required
  • Two to four years of progressive experience as a Quality Assurance Discipline, Business Analyst, or Applications Analyst/Programmer
  • Requires strong communication skills, both verbal and written, organizational skills, interpersonal skills and project planning skills
  • Demonstrated aptitude towards problem identification, resolution and comprehension and interpretation of technical procedures
  • Requires sound knowledge of quality assurance methods and procedures, as well as familiarity with the full project life cycle development processes
  • 3+ years experience with SQL, Query Analyzer
  • Experience with test applications like Quality Centre, Rational suite or similar
  • Familiarity with Data profiling tools such as Trillium or Pandora a plus
  • Experience with Data Governance tools and methodology preferred
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Data Quality Analyst Resume Examples & Samples

  • Use data profiling, data quality tools, and database queries to uncover and determine root causes of data quality issues
  • Identify areas for data quality improvement and help resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies
  • Review Oracle E-Business Suite (EBS), Salesforce.com, and other data sources for data accuracy
  • Develop, document, and maintain data quality goals and standards
  • Make recommendations for enhancements to systems of record to improve accuracy of operational data
  • Establish on-going processes for maintaining quality data
  • Collaborate with global teams around the world in local timezones to discuss governance and projects and troubleshoot issues
  • Bachelor's degree in computer science, information management, business, or a related field
  • Fluent language skills in English; Spanish is preferred
  • Understanding of Oracle Trading Community Architecture (TCA)
  • Familiarity with Salesforce.com, reports, and database
  • Ability to handle multiple tasks at once, prioritize, and coordinate tasks to meet multiple deadlines
  • Ability to identify sets and subsets of information across multiple unions of tables
  • Experience with relational databases, statistical packages, and analysis techniques
  • Demonstrated ability to organize, coordinate, and carry out detailed activities
  • Demonstrated ability to communicate with all levels and functions within an organization
  • Experience in managing projects from start to finish
  • Flexible and resilient, comfortable with ambiguity, able to adapt in a fast-paced environment
  • Solid written and verbal communication skills, project and time management skills, and ability to work in teams
  • Good working knowledge of data quality measurements, total quality management, data entry improvement, and user requirements gathering
  • Experience with Oracle Customer Data Hub and Oracle EBS is a plus
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Lead Data Quality Analyst Resume Examples & Samples

  • Develop in-depth understanding of Press Ganey data structures and information content
  • Investigate, create, and maintain data flows, data content, data element definitions with a goal of enterprise Master data integration
  • Strong knowledge of Master Data, with technical implementation experience of data cleansing, de-duplication and management of “Golden Master Record”
  • Bring data management experience, including an understanding of concepts, practices, procedures and tools - providing strong analytical, innovative and creative problem-solving skills
  • Strong background and understanding of enterprise information management, including master data management (MDM), metadata, reference data, and data quality practices
  • Bring excellent interpersonal and communication skills (personal, written and presentation) and work cross-functionally with IT and non-IT staff
  • Ability to work collaboratively with business partners to define business rules and data quality thresholds
  • Technical breath in data profiling from different sources and determine whether and how data can support business and data requirements of its intended use
  • Measure data quality and report findings to promote cleansing data at the source
  • Ability to create and publish data quality scorecards for transparency and planning purposes
  • Technical understanding of data models, data standards, and business glossary
  • Contributes to enterprise data governance activities as needed; including policies and procedures
  • Develops & maintains common business definitions and metadata criteria for consistent metrics reporting across the enterprise
  • Collaborate with IT and business partners to identify data sources that will function as “sources of truth” and align data domains to authoritative sources of data
  • Researches new technologies while keeping up-to-date with technological developments in relevant areas of Data Governance, Master Data, and Data Quality
  • Previous experience leading data management initiatives (data profiling, improvement, accuracy, completeness, integrity, security, stewardship, and governance)
  • Proficient skills and knowledge of data quality tools, data quality disciplines and technologies to standardize and maintain control over master data
  • Knowledge and usage of ER/Studio, Informatica, Azure Data Catalog, SSIS, Master Data Services
  • Proficient with SQL
  • Delivery of data quality dashboards and other metrics to ensure integrity of operational reporting
  • Knowledge of modeling conventions for both data (data models) and process (data flow diagrams and process models)
  • Ability to understand new technologies quickly
  • Ability to influence decision makers, drive consensus and broker solutions between parties with competing or potentially conflicting requirements
  • Previous healthcare industry experience would be a major advantage
  • 10+ years of experience in Information Management
  • 5+ years of experience in master data management (MDM), metadata, reference data, and data quality practices
  • 3+ years of experience in Data Governance
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Senior Data Quality Analyst Resume Examples & Samples

  • If Bachelor's degree,
  • 6+ years experience in data management, data quality or business applications function OR
  • If Master's degree,
  • 4+ years experience in a data management, data quality or business applications function OR
  • If PhD, 3+ years experience in a data management, data quality or business applications function
  • Bachelor's Degree in a Business or Science discipline
  • Four years work experience in data management, data quality or business applications function or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required. OR
  • A Master's Degree in a Business or Science discipline or a related discipline. OR
  • A PhD in a Business or Science discipline or a related discipline
  • Qualifications may warrant placement in a different job level*
  • Information Governance experience developing data policies, standards, and procedures
  • Data Quality experience identifying and resolving data issues
  • Data Management experience investigating data lineage and processing gaps
  • Advanced knowledge of frequency and duplicate analysis, cross dataset dependencies, orphan 'child data' rows, redundancy analysis; data extraction techniques and applications
  • Advanced knowledge in Data Quality tools, SQL, SAS, BI tools or other analysis software
  • Advanced knowledge of relevant industry data & methods and demonstrated ability to connect external insights to business problems
  • Demonstrates advanced skills in: understanding and correcting data discrepancies; reading and translating data models; data querying; identifying data anomalies and root cause analysis; understanding and capability to explain Master Data Management
  • Proven ability to influence business decisions
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Senior Data Quality Analyst Resume Examples & Samples

  • Expected to be the Subject Matter Expert (SME) for Core Map and HD processes
  • Mentor and train HERE employees in QTST test methodologies
  • Plan, schedule, perform and supervise field data collection as required; verifying the requirements set HERE test methodologies
  • Perform high priority and targeted audits for Real World Tests, Tally analysis, and other required HERE test methodologies
  • Participate in projects to improve the testing process and methodologies with the use of new tools (already within the company)
  • Conduct on demand database testing and perform on demand data annotation activities
  • Execute and support training data audits with complex data sets and within golden records requirements
  • Provide support for technical testing of QTSTs custom test tools
  • Bachelor's degree required. Degree in GIS/Geography, Business, Science, Technology or related field preferred
  • 3+ years of related work experience, preferably within HERE LMO or GPO
  • Proficient at all requirements of the LMO Analyst I role
  • Sub-regional geographic knowledge/affinity/contextual understanding/cultural awareness
  • Well developed knowledge of product specifications and proprietary tools
  • Proficiency in Microsoft Office specifically with Excel and Word
  • Fluent verbal and written communication skills in English and in local language in assigned territory
  • Ability to travel within and outside project coverage area
  • Knowledge of programming languages such as Python, R & VBA a plus
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Data Quality Analyst Resume Examples & Samples

  • Using Source of Truth documents and Job Aids will review for the accuracy of data entered to the system
  • Responsible for managing an individual work queue to ensure work is completed within required Turn Around Times
  • Meet monthly Quality Metrics
  • Work ad-hoc projects, as needed within the team to support process improvements and efficiencies
  • Works with minimal guidance; seeks guidance on only the most complex tasks
  • Summarize and communicate proposed solutions clearly to Management
  • Provides feedback and updates to policies, procedures, process flows and process instructions as needed
  • Experience working in a healthcare related field or earned credential through formal education (i.e. degree or certificate in the healthcare field)
  • Work overtime; required during Quarter 4 (October - December), may be sporadic throughout the year
  • 2+ years in a Quality Assurance position
  • Intermediate Microsoft Word, Excel, and Outlook
  • Experience in effective communications (verbal and written)
  • Adhere to internal policies and processes
  • Organized, abiity to multi-task
  • Work in a changing environment
  • Some College
  • Service Now knowledge
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Junior Pipeline Data Quality Analyst Resume Examples & Samples

  • Good communication skills, both written and verbal in English
  • Minimal working experience (at least internships)
  • Computer skills (MS Office, especially Excel and Outlook)
  • Ability to manage multiple projects simultaneously and prioritize tasks
  • Attention to details, flexibility and delivering accurate results when working under pressure
  • Capable of adapting to changing priorities and good time management skills
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Data Quality Analyst Resume Examples & Samples

  • Work cross-functionally to resolve known data quality problems in our CRM platform to support key business functions such as sales operations, customer support, marketing, order management, and business intelligence
  • Respond to customer inquiries, triage/troubleshoot issues, identify root causes, make necessary changes to data, and escalate issues to appropriate teams when needed
  • Clean and enrich data using internal data upload and merge tools. Learn methods for identifying and merging duplicate records in our CRM tool
  • Create documentation around data management based on changing business definitions/processes and keep existing documents up to date on a monthly basis
  • Build dashboards using internal tools to track key business metrics and internal data quality team metrics
  • Complete strategic projects to improve overall data quality in our CRM & MDM platforms. Manage communications with internal/external stakeholders throughout project lifetime
  • Help identify opportunities for automation for better data management at scale
  • Advanced SQL skills
  • Advanced Spreadsheets/Microsoft Excel skills
  • Ability to follow a detailed set of instructions and rule sets
  • Nice to have: prior software engineering experience and/or skill with scripting languages
  • Ability to multi-task, set priorities, and work efficiently in a fast-paced environment
  • Strong interpersonal skills and ability to work with cross-functional teams
  • Strong analytical and problem solving skills, and attention to detail
  • Eager to develop new knowledge and expertise
  • Self-motivated to dig into data
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Data Quality Analyst Resume Examples & Samples

  • Data analysis experience operating within Data Management functions of similar organisations, ideally within retail
  • Proven track record of taking responsibility for data analysis decisions and assurance across complex changes
  • Experience in a range of data analysis tools and techniques
  • Data profiling, quality rules definition and automation
  • Strong analytical and problem solving skills, analysis skills across multiple source systems