Data Quality Resume Samples

4.5 (128 votes) for Data Quality Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the data quality job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Resume Builder
CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.
USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.
SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Create a Resume in Minutes
MU
M Upton
Margarita
Upton
806 Theresa Point
Chicago
IL
+1 (555) 157 3896
806 Theresa Point
Chicago
IL
Phone
p +1 (555) 157 3896
Experience Experience
Dallas, TX
Gpc-data Quality
Dallas, TX
Block-Anderson
Dallas, TX
Gpc-data Quality
  • Manage the day-to-day Data Quality administration function, operational performance reporting, tracking requests
  • Work with the team to ensure continuous process improvement
  • Assist Team lead in preparing detailed metrics packs showing data quality information for distribution to management
  • Innovative approach to work and continuously identify and implement process improvements
  • Assist in developing and maintaining training database, training materials and trackers for the migration
  • Responsible for managing performance of a team of Data Quality Specialists by setting clear goals, objectives and quality of work
  • Liaise with internal/external stakeholders to provide exception management reconciliation/reporting
Detroit, MI
Manager, Data Quality
Detroit, MI
Abbott LLC
Detroit, MI
Manager, Data Quality
  • Serves as a key resource to implement key business transformation initiatives impacting global organizational, processes, and technology as it relates to product master data
  • Drive a culture of data quality and contribute to enhanced operational efficiency by continually seeking ways of improving work processes
  • Competent as a subject matter expert for data governance policies, security rights, and information lifecycle processes for master data
  • Review and recommend improvements to Master Data Training Materials and User Content
  • Managing & Team Development Build a team of Data Quality Analysts, manage their performance and communicate effectively both cross functionally and with senior management
  • Identify patterns, trends and inconsistencies; draw conclusions and provide recommendations in the form of remediation, corrective (CARs) and preventative (PAR) actions
  • Issue Triage research data quality issues
present
Los Angeles, CA
Senior Manager, Data Quality
Los Angeles, CA
Breitenberg-Buckridge
present
Los Angeles, CA
Senior Manager, Data Quality
present
  • Measures effectiveness of improvements through deep analysis of data on performance metrics striving for cost effective high quality improvements
  • Identifies and follows up on new business opportunities, leveraging the credibility of IMS Quality Management System
  • Presents insights and perspectives to internal and external stakeholders, to promote awareness, credibility and adoption of IMS Quality Management System
  • Act as a subject matter expert on ‘big data’ quality, providing pragmatic and hands-on support to a wide range of stakeholders, internally and externally
  • Identifies possible conflicts with the strategy and recommends cost effective alternatives
  • Process Modeling and documentation
  • Identify and define validation and monitoring logic to ensure that data anomalies are detected and contained within thresholds
Education Education
Bachelor’s Degree in Analytical
Bachelor’s Degree in Analytical
San Diego State University
Bachelor’s Degree in Analytical
Skills Skills
  • Self-starter, ability to work independently in a fast-paced environment and deliver solid action-oriented results quickly
  • Possess strong knowledge of business process, data or information management, and data quality standards and processes
  • Ability to apply the principles of data quality standards
  • Ability to communicate clearly and professionally, both verbally and in writing
  • Analytical with strong problem solving ability
  • Ability to understand new technologies quickly
  • Ability to design and implement data quality metrics
  • Ability to work in a matrix environment with demonstrated ability to interface with a variety of cross functional business and IT partners
  • Proven ability to turn vision and goals into actionable plans
  • Strong attention to detail, process orientation and business acumen
Create a Resume in Minutes

15 Data Quality resume templates

1

Rohq-gfds-data Quality Senior Analyst Resume Examples & Samples

  • Experience with ETL tools (Ab Initio is preferred)
  • Knowledge of data quality concepts and the theories of data quality
  • Experience in developing and executing ETL rules
  • Familiar with analytic concepts, practices and procedures
  • Familiar with IMR concepts and procedures
  • Familiar with MQC
  • Ability to define, follow and improve procedures to ensure consistency and adherence to all necessary policies
2

Senior Analyst, Parameter Data Quality Resume Examples & Samples

  • Accuracy and reliability of data is critical for estimating risk parameters of probability of default - PD, loss-given-default - LGD and usage-given-default - UGD. Risk parameters are key inputs into both regulatory and economic capital calculations, and impact pricing, provisioning and limit setting for RBC’s wholesale (non-retail) credit portfolios
  • Maintenance of data that enables retrospective reallocation of borrower and facility grades is a critical requirement for continuous compliance under the Basel II AIRB approach
  • Implementation and maintenance of PD Segments, LGD Segments, and UGD Segments in IT systems is a critical requirement for continuous compliance under the Basel II AIRB approach
  • Manage the data quality process by 1) performing routine (e.g. quarterly) and ad hoc tests to identify potential errors and/or anomalies in default and loss data, and 2) following up with respective data sources/owners to resolve data quality issues
  • Manage projects to improve the quality of Parameter Data and lead Business Analysts assigned to projects
  • Develop and implement processes to collect and store unstructured Parameter Data (i.e. data not currently captured in a structured format in IT systems) for borrowers and facilities defaulting in each quarter
  • Design, develop, and produce regular (e.g. quarterly) reports to senior management showing the metrics on measures of quality of the Parameter Data
  • Establish and maintain policies, procedure, standards, and business rules for implementing Parameter Segments (i.e. PD Segments, LGD Segments, and UGD Segments) in IT systems (e.g. Synergy, CCMS, CGID, RWCA, ESN etc.)
  • Lead the implementation of Parameter Segments in IT systems. Respond to questions from Validation, Internal Audit, External Audit, and OSFI
  • Perform self-assessment of compliance with OSFI Requirements and previously issued OSFI recommendations
  • Keep abreast of regulatory and industry trends and/or changes impacting credit risk data
  • 7+ years of experience in the financial services industry, with a good understanding of the wholesale credit risk business
  • Excellent communication skills, both written and verbal; excellent conceptual, analytical and problem solving skills
  • Strong computer skills (MS Access, Excel, SAS, MatLab and SQL preferred) and experience with large data sets
  • Experience working on projects involving IT implementation either as a Business Analyst, Technical Analyst or Subject Matter Expert
  • Good knowledge of RBC businesses, products and organization
  • Knowledge and experience of Data Management Tool
  • Ability to work independently and/or in a team setting to handle projects and assignments with a high degree of ambiguity
3

Data Quality Issue Remediation Manager Resume Examples & Samples

  • Lead the prioritization, remediation and tracking of data quality issues identified regardless of the source of the issue
  • With Subject Matter Experts and GECC's businesses, lead efforts to improve data quality, implement new requirements, close data gaps and exceptions and ensure compliance with GE Capital HQ policies, procedures and data definitions
  • Manage a team of analysts that will act as key contacts to the Subject Matter Experts and the GECC businesses
  • Proactively develop data quality initiatives to evaluate the quality of new and existing data attributes in GECC's centralized data warehouse
  • Assist in gathering and monitoring of credit & investment risk data across GE Capital's global portfolios with a focus on consistency and accuracy
  • Work closely with data leaders in the GECC global business units on initiatives relating to data quality and definitional consistency and ensure that sustainable process improvements are implemented
  • Establish and maintain strong relationships with key functional stakeholders (Risk, Finance, IT, Ops, Business Units, Data providers, Data Consumers) to initiate, prioritize, design & deliver high-visibility data quality evaluation projects
  • Stay current on industry best practices in data governance & implement new data mining tools in GE Capital. Communicate and document statistical analyses, methods and findings in a logical and understandable manner for internal and external audiences
  • Strong business finance acumen, especially in Financial Services Industry
  • Demonstrated experience (5+ years) leading high-profile, dynamic projects with multiple constituents, and involving technology development
  • Demonstrated experience in problem solving and data issue remediation
  • Prior work experience in enterprise risk management or finance, a plus
  • Experience with statistical software such as SQL, relational database design and methods for efficiently retrieving data from databases
  • Experience in data quality roles
4

Tech Lead Data Quality Resume Examples & Samples

  • Provides technical leadership to onsite/offshore development team and DBA team through mentoring and technical documentation
  • Manages overall physical database structures for business functionality, data integrity, performance, recoverability, maintenance, and space requirement considerations
  • Monitors system and database performance to identify performance improvement opportunities via physical database design, SQL or programming changes
  • Functionally and technically evaluates database upgrades and patches, database backup and recovery, and change management
  • Supports disaster recovery planning, testing, and execution
  • Bachelor's Degree (or a minimum 4 years equivalent work experience) with a minimum 2 years IT experience
  • Database architecture – Ability to provide data architecture expertise to Data Quality Process design
  • Hands on PL/SQL experience to query Treasury Systems for business analysis
  • Ability to understand and liaison with solution architects to solution data mining and processing of large complex datasets for Data Quality processing
  • Unix – Knowledge of Unix commands and shell scripts for execution of Data Quality jobs and to interface with other systems
  • Web Services – ESB – Knowledge of web services for real time integration of Treasury systems with MDM for match jobs via the data quality tool
  • Lead L3 Production support activities to improve performance and resolve issues with data and interface with other technology stacks
  • Support Disaster recovery of Data Quality platform and maintenance activities of technology stack like oracle, linux, windows, and citrix on which the Data Quality platform is installed
  • Lead and Support release of Data Quality projects to QA and production
  • Ability to participate in the evaluation of new Data Quality tools and new technologies like Big Data
5

Enterprise Data Quality & Intelligence Analyst Spokane Resume Examples & Samples

  • Extensive work experience related to data quality and data issue management with deep expertise conducting business and systems analysis
  • Strong quantitative and qualitative analytical skills and a creative and flexible approach to problem solving, knowledge of data query and/or expression languages, data visualization and analysis tools (e.g. Cognos BI, Datawatch, Information Builders, Microsoft PowerView, Microstrategy, Tableau, etx.)
  • Demonstrated capacity to work effectively in a team-oriented and fast-paced environment with exceptional communication skills and demonstrable ability to effectively communicate to all levels of organization, this includes written and verbal communications as well as visualizations, with the ability to influence others to move toward consensus
  • Keen attention to detail with strong sense of ownership and accountability for work
  • Desire to challenge the status quo and propose new solutions
  • Fluency with all MS Office tools Strong technical skills with Excel, PowerPoint and Visio
  • LI-DNP
6

Data Quality Assistant Manager Resume Examples & Samples

  • Support the business in detailing Data Quality, reconciliation, reporting and communication requirements
  • Engage with stakeholders to build Data Quality, reconciliation and reporting rules and perform the Data Quality and reconciliation assessments
  • Conduct sessions with SMEs to assess analysis outputs
  • Recommend maintenance enhancements to data acquisition processes to improve accuracy of data warehouse data
  • Make recommendations to operational support for enhancements to systems of record to improve data quality
  • Assist in data development lifecycle checkpoints e.g. new data feed development, test plans, Data Quality policy decisions
  • Data analysis and reconciliation
  • Data lineage and modelling
  • Database and data warehouse design and use
  • Defect management and remediation
7

Data Quality Leader Resume Examples & Samples

  • Proactively develop data quality initiatives to evaluate new and existing data attributes in GECAS's centralized data warehouse
  • Lead platform efforts on improving data quality, implementing new requirements, identifying data gaps and exceptions and ensuring compliance with GE Capital HQ policies, procedures and data definitions
  • Work closely with data leaders in the GECAS global business units on initiatives relating to data quality and definitional consistency and ensure that sustainable process improvements are implemented
  • Establish and maintain strong relationships with key functional stakeholders (Risk, Finance, IT, Ops, Business Units, Data providers, Data Consumers) to initiate, prioritize, design & deliver high visibility data quality evaluation projects
  • Stay current on industry best practices in data governance & implement new data mining tools in GE Capital
  • Bachelor's degree in a Risk related field (Accounting, Business, Economics, Finance, Math/STAT, Operations Research, etc. with Quantitative underpinning) with 3+ years of relevant Risk, Finance or Portfolio Management experience
  • Demonstrated experience analyzing data with the ability to distill large amounts of information down to the critical areas of focus
  • Prior work experience in enterprise risk management or finance
  • Experience in agile data analytics experiments and creation/deployment of models and algorithms to analyze data
  • Self-starter, ability to work independently in a fast paced environment and deliver solid action oriented results quickly
  • Strong interpersonal and team management skills
8

Gdm-sis-data Quality Resume Examples & Samples

  • Design and Implement of DQ rules: Take ownership in designing of profiling rules for critical data elements in the assigned DQ project; code, test and execute profiling rules using standard tools available for data profiling and assessment
  • Data Quality Assessment: Undertake complex reporting and analysis on the profiling results to investigate and identify DQ issues with minimal guidance from seniors. Strong ability to multi-task on multiple data quality projects is a critical requirement for the role
  • Work with partner data SME’s in identifying and understanding CDEs, communicate DQ observations and finalize action plans to fix DQ errors
  • Investigate and facilitate resolution of data integrity issues; provide impact assessment to support prioritization of fixes and enhancements
  • Presentation of results: The individual would be expected to independently design presentations to summarize the result from DQ projects, as well as manage end-to-end project communication across the various levels in the organization
  • 5-7 years of relevant work experience in Data Quality/ETL/ Data Management/ Reporting within Banking / Financial Services / Analytics Industry
  • Hands-on experience in SAS (base and advanced)
  • Implementation of DQ profiling rules using SAS or SQL
  • Strong background in technical disciplines such as Unix, RDMS, Data Modeling or MIS/Reporting
  • Data manipulation, extraction of data from huge / complex databases using SAS / SQL is required
  • Design & development of complex reports, design of dashboards etc. is required
  • Strong analytical aptitude and logical reasoning ability
  • Strong process/project management skills
  • Good communication skills is mandatory
9

Data Quality Capabilities Lead Resume Examples & Samples

  • Work with Consumer (via CDI team) and Providers (via EDLs) to define the requirements of a common Data Quality Platform
  • Work with Enterprise Management Team to identify Firm wide Data Quality metric requirements and dash boarding needs
  • Work with IT/vendor to develop and support a common Data Quality Platform
  • Develop rule development lifecycle (RDLC) and treat rules "as code" and so maintain integrity of production environment
  • Develop and implement a quality assurance process to ensure that rules documented on the platform adhere to required standards and so facilitate enterprise wide reporting
  • Bachelor's degree with a minimum of 5 years of relevant risk, finance, IT, or data management experience, or High School/GED diploma with a minimum of 8 years of experience in risk, finance, IT, or data management experience
  • Strong data analysis background – specifically specification of data quality rules
  • Participation in a data quality program
  • Experience managing direct reports
  • Deep functional knowledge of at least one GEC business
  • Experience in using vendor DQ tools (e.g. Informatica IDQ, Ataccarma, DataFlux, Trilium)
  • Experience of developing SQL
  • System or user acceptance testing of IT projects
10

Data Quality Measurement DQP Manager Resume Examples & Samples

  • Undergraduate degree in business, math, computer science or related fields or equivalent experience
  • Seven plus years of operational management
  • Excellent interpersonal and verbal skills
11

Data Quality Associate Resume Examples & Samples

  • Coordinate with Capital Markets Business Analytics to produce a listing all Credit Approval Folders (“CAF’s) approved in prior quarter
  • Determine a stratified random sample of ~25 entities approved through the CLP per quarter using the RAND function in Excel, and further refine by CAF purpose and contents
  • Validate approximately 35 – 45 fields per entity following a standard Corporate Banking Validation Procedure. Validation includes replication of data used to calculate economic capital from source documents in the CAF
  • Prepare quarterly Data Quality reports and analysis
  • Conduct supplemental portfolio monitoring, including identification and analysis of material changes in Risk Weighted Assets and LGD
  • Participate in system enhancements projects as needed
  • B.A. in Business or Finance,
  • Working knowledge of Risk Management Policy Framework applicable to corporate lending in Capital Markets, including Corporate Policy, Corporate Standards, Financing Guidelines and Corporate Commercial Lending Manual, and credit products
  • Familiarity with the Bank’s Credit Risk Management practices including the Loss Given Default Rating Assessment Guideline, the Risk Rating Assessment Guidelines and key components of each. Keep current on changes in guidance
  • Understanding of industry-specific risk rating models and key drivers of each, including Oil & Gas and Project Finance, regulated utilities, municipalities, which entail knowledge of the Bank’s Financing Guidelines
  • Working knowledge of Leveraged Definitions (Bank, Sponsor, FDIC)
  • Working knowledge of collateral, relevant collateral types and lending values
  • Working knowledge of Bank systems and capital worksheets including MRA, FACT, LTS, , PABP, OBS, EBITDA & debt reconciliation. Ability to analyze, categorize and report errors concisely and consistently
  • Maintain orderly electronic files for each file tested, evidencing how data was validated (e.g, pdf’s of source documents showing DQA checks) and issues resolved (e.g. email correspondence with Banker)
  • Ability to determine and implement process improvement and best practices as the Data Quality function evolves
  • Ability to prepare presentations and reports in PowerPoint, Word and Excel with supportive analysis of results and potentially recommendations for action
12

Enterprise Data Quality & Intelligence Analyst Resume Examples & Samples

  • Analyst will demonstrate a broad understanding of information management strategies to provide insight toward maintenance and scalability of critical data assets, opportunities for operational efficiencies and adherence to service levels
  • Analyst will be responsible for documenting data flows, risk and remediation plans, as well as maintaining policies and procedures
  • Assist in the review of operating procedures and evaluation of the adequacy of system controls, the reliability of internal information systems and related data to ensure conformance to data quality controls
  • Assist management in developing action-oriented and compelling enterprise data quality reports and employing data analysis and date visualization tools (e.g. Tableau, Microsoft PowerView, etc.) to interpret and communicate review results through clear visual outputs
  • Analyst will participate in Enterprise Data Governance working groups, proactively partnering with a cross functional teams and business unit data stewards and data owners to define data quality thresholds, overseeing data related to core systems, origination systems and other third party data providers associated with financial, operational and executive reporting
  • Governance Implementation - Working across Business Lines, Operations and Technology to support the implementation of the bank’s Data Governance Framework
  • Issue Management, Remediation and Escalation - Individual will be accountable for facilitating the Data Issue remediation management and escalation process, including working across teams to articulate issue facts and materiality
  • Steering Committee support and coordination - supporting and preparing for key Steering Group and Working Group meetings including status updates and implementation planning
  • Maintain comprehensive, professional and well-organized documentation of reporting, analysis and conclusions, for future review by internal audit and regulators. As well as effectively presents findings of analysis both in written and verbal form in a clear and coherent manner transferring understanding in a way that is accurate and actionable
  • Assist and execute on other projects as assigned including administrative tasks as necessary
  • Describe the type and level of any special skills and/or knowledge required to effectively handle the responsibilities of the job (e.g. - Advanced skills in Microsoft Excel)
  • Develop business requirements documents
  • Ability to create clear and accurate presentation for both Sr. Management and Steering Committees to demonstrate requirements and business cases for remediation
  • LI-DNP
13

Data Quality Senior Manager Resume Examples & Samples

  • Develops and maintains working relationships with business leaders/strategy owners/enterprise partners including global Data Governance
  • Applies expert knowledge and experience with business manager tools, deliverables, and project management disciplines
  • Define and implement standard practices, critical success factors, principles, and policies for data quality
  • Leads the implementation of data quality measurement and monitoring; provides recommendation for associated tools and processes
  • Manages multiple concurrent projects and owns delivery of successful business outcomes
  • Assists in measuring data quality capability and maturity
  • Formulates and conducts awareness forums. Facilitates and documents meetings with stewards, stakeholders, development teams
  • Prepares formal DQ dashboard reports and presentations of findings and recommendations
  • Conducts audits of data quality using sound sampling and statistical estimation techniques
  • Assesses and provides metrics of the data quality characteristics of validity, integrity, accuracy, completeness, timeliness control, availability, relevance, usefulness, accessibility, and definition
  • Develops processes to document and maintain data quality rules
  • 5-8+ years relevant experience
  • Understanding of data quality management principles
  • Advanced knowledge of data quality analysis tools and implementation
  • Experience in program and project management; Experience in relating regulatory, compliance and quality initiatives
  • Cooperative problem solving mindset; Able to work well across multiple functional areas
  • Proven ability to communicate business rationale to internal and external counterparts
  • Knowledge of data, reporting and analytic functions within a financial services organization
14

Associate, Data Quality Issues Analyst Resume Examples & Samples

  • Ensure DQ documentation is current and updated as new areas are onboarded for FW DQ management
  • Provide DQM tool support to the user community
  • Bachelor degree or equivalent work experience (3-5 yrs)
  • Excellent prioritization, planning, organization and time management skills
  • Proven ability to work across diverse groups, build consensus and execute the agreed plans
  • Expertise in Financial products, reconciliation, reporting, analysis processes is required
  • Excellent communication skills, both written and oral
15

Data Quality Developer Resume Examples & Samples

  • Development and maintenance of reporting tools, used by both traders and desk strategists to quickly mine and analyze large, complex datasets
  • Development and maintenance of monitoring/alerting tools to detect data issues or process failures and to resolve them proactively if possible
  • Operational support of legacy processes to debug and amend data issues or process failures
  • Providing operational support to London traders and desk strategists
  • Bachelor's or Master’s Degree in computer science or related discipline
  • Knowledge of at least one high-level OOP language (e.g. C++/Java/C#)
  • Be open to learn and apply new technologies and programming languages
  • Flexibility to adjust to changing priorities
  • Knowledge of current web technology stack (HTML5, JQuery, AngularJS, Bootstrap) is a plus
  • Knowledge of shell scripting and Unix environments is a plus
  • Basic knowledge of fixed income securities trading is a plus
16

Data Quality Issues Analyst Resume Examples & Samples

  • The individual will work as a Team member / subject matter expert within the Data Quality Team in Delaware and have responsibility for Quality of issues logged in the Data Quality tool
  • Execute Quality Assurance on FW DQ issues
  • Produce Data Quality reporting
  • Bachelor degree or 2+ years of equivalent work experience
  • Experience in Finance, Accounting or Finance Operations is preferred
  • Able to influence diverse stakeholder groups
  • Ability to quickly understand a complex matrix of systems across the infrastructure and their interdependencies and relationships
  • Ability to adapt to opportunities presented through change
  • Excellent interpersonal skills, comfortable at interacting with and communicating to all levels of Management
  • Familiarity with operational controls is a plus
  • Must be detail oriented, highly responsible and able to work with tight deadlines
  • Project management experience is a plus
17

Manager, Data Quality Resume Examples & Samples

  • Implement the enterprise’s approach to data quality, including the identification of critical data elements, the categorization of data issues and prioritization of data improvement efforts. (15%)
  • Support an Enterprise level view of data quality in both Master Data Management systems (MDM) and in transaction origination systems. (10%)
  • Ensure data quality issues are assigned to the appropriate owner and remediated at the appropriate place. (10%)
  • Track data quality issue remediation. (5%)
  • Maintain awareness of key process changes and their impact on data management. (5%)
  • Work with the EDMS Specialists to help execute improvement efforts. (5%)
  • Partner with the company’s Business Intelligence and Analytics group to identify and resolve data challenges impacting reporting and analytics initiatives. (5%)
  • Work closely with the group’s change management resources to ensure changes to data management procedures are enabled with the appropriate training and communications support. (5%)
  • 5 years of experience in IT/data quality control activities
  • Familiarity with SAP, Oracle and Hyperion enterprise applications, systems and processes
  • Strong working knowledge and experience in managing the business data lifecycle
18

Senior Manager Enterprise Data Quality Resume Examples & Samples

  • Oversees all data quality initiatives at TD
  • Accountable for the creation and implementation of the Enterprise Data Quality Framework
  • Accountable for the creation of data quality reports on an ongoing basis summarizing scores against data quality metrics
  • Works closely with the Lead Data Sponsors ensuring that all data operations in each business segment and corporate function are aligned to the enterprise data quality standards
  • Communicates with business data management and data policy management roles as needed
  • Cross business influence and oversight of DQ rollout
  • Develops and grows positive and collaborative relationships with our stakeholders
  • Provides expertise and guidance on DQ and related data capabilities to business segments and peers
  • Owns the creation of a DQ value proposition for the Bank
  • Owns the maintenance, development and refinement of the Enterprise Data Quality Framework and the Data Quality Management Process Toolkit to ensure ongoing relevance with communication of changes to impacted businesses
  • Ensures that the DQ remains in compliance with current regulation and is positioned to stay ahead of future requirements
  • Builds the DQ team’s capability to provide effective guidance on best practices and process for framework implementation and measurement of ongoing compliance
  • Supports the DQ team’s ability to develop, own & deliver effective education & communication tools & materials
  • Contributes significantly in the creation and maintenance of the DQ-related Policies and Standards, and corresponding support & guidance material
  • Monitors emerging trends, tools, and methodologies specific to DQ, related data capabilities and regulatory views
19

Data Quality Senior Analyst Resume Examples & Samples

  • Excellent ability to work effectively at the senior most levels with multiple internal and external partners while facilitating consensus; superior ability to develop partnerships across multiple businesses and functional areas
  • Well organized with follow-up abilities; has a track record of effectively managing multiple tasks in a dynamic environment
  • Strong problem solving abilities and analytical skills. Ability to see the big picture with high attention to critical details
  • Ability to work under pressure, meet challenging deadlines
  • Must have expert knowledge of Excel, 5-8 years of experience working with Excel. Ability to manipulate, collate, and compare excel files. Rationalize numerous files to create like-data and then use templates to extract that data into the necessary reports. Pivot tables, Excel Macros, etc
  • SQL – Moderate experience required, will be extracting data from the Data Quality Platform
  • Business Objects – Moderate experience required, candidate will be interacting with a Business Objects reporting interface occasionally
  • VBA Programing - Moderate. The job will not involve creating databases but the area of knowledge in data elements and having a DB background would be a plus
  • PowerPoint knowledge would be a plus
  • Bachelors Degree or equivalent experience required
20

Data Quality Product Owner & Build Manager Resume Examples & Samples

  • Primary point of contact for all matters relating to the provisioning and supply of the technology enabling the measurement and reporting of data quality issues
  • Managing data quality requirements from the CDO office. This involves establishing an schedule of data areas to onboard along with prioritizing the generation of data quality reports and data extracts
  • Build manager making sure the framework is constructed in a manner in accordance with the Agile playbook and JPM development standards to include code version control, automated testing, and code deployment
  • Managing the solution deployment in terms of the backlog for new features, bug fixes and enhancements to the platform
  • Scrum master and associated activities such as Scrum planning and retrospectives with input into technical requirements such as improved error logging. This function also involves team communication and coordination. Making sure all interested parties are clear about their role, dependencies, deliverables and responsibilities
  • Support coordination. Managing handover to level 1 infrastructure and application support teams. Agree issue escalation procedures, monitoring, utilisation measurement and performing capacity planning. Also ensure transition to BAU process for user onboarding
  • Overseeing and agreeing access rights, data privacy, data encryption, access roles and responsibilities
  • Establishing housekeeping routines to delete unwanted historical data
21

Senior Manager, Data Quality Resume Examples & Samples

  • 10+ years of relevant employment experience
  • 7+ years writing technical requirements and business logic
  • 5+ years of complex query writing and interpretation
22

Senior Manager, Data Quality Resume Examples & Samples

  • Managing & Team Development Build a team of Data Quality Analysts, manage their performance and communicate effectively both cross functionally and with senior management
  • Issue Triage research data quality issues
  • Business process documentation experience and skills
  • Knowledge of tools to query and manipulate data in varying file formats including Teradata
  • Knowledge of referential and large data formats and file structures
  • Knowledge and experience with agile development methodologies
  • Ability to convey complex concepts to business stakeholders in terms relevant to the business
  • Organized, structured, methodical
  • Exposure to the following a plus: Informatica, Tableau, Metric Insights, SAS
  • Knowledge of account, device, service, operations and marketing domains a plus
  • Bachelor's degree required with related experience, or an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired. Ability to analyze complex data, business processes, and information flow needs. Must have excellent communication skills with the ability to drive data quality concepts and solutions
23

Data Quality Service Manager Resume Examples & Samples

  • Translate business and information requirements into data models, dataflow diagrams, and use cases
  • Provide data consultancy and support to Stakeholders across the project lifecycle
  • Support business and data quality teams to perform tactical and strategic resolution facilitation of high priority data related issues
  • The job holder will play a proactive role in the Group level data governance forums
  • 10+ years of Data Quality Issue Management experience
  • Knowledge of and experience with tools and technologies used for data quality issue management
  • Stakeholder management experience
  • Over ten years’ experience working with business data design and architecture development
  • Experience of developing Business focused logical data models and architecture for large financial institutions
  • Knowledge and experience of IT Vendors and Products working in the Data Management space
  • Knowledge and experience of Data Management Tools
  • Aspiring – being ambitious about providing the highest standards of delivery
  • Mobilizing – authentically engaging with team, colleagues and business partners to deliver at pace
24

Data Quality Developer Resume Examples & Samples

  • Coordinates design activities with other Developers to ensure project adheres to project specifications, and provides Supervisor and/or Scrum Masters with level of effort estimations, milestone timelines, and periodic status updates
  • Provides expertise in more than one functional area of technology and provides architecture and design solutions that ensure Data Quality of large scale data along with data lineage
  • Writes application code, develops user interfaces, develops unit test cases and harnesses; creates design, interface, system, and user documentation; tests software and interfaces, supports end-to-end and performance testing, and performs other tasks needed to complete projects
  • Assists in testing and troubleshooting data quality implementations to ensure integration with product deployments
25

Manager, Data Quality Resume Examples & Samples

  • Leadership ability to create a start-up function and drive organizational change
  • Strong attention to detail, process orientation and business acumen
  • Strong initiative in identifying and addressing key issues
  • High sense of urgency and follow-through
  • Ability to learn multiple internal and external programs and systems
  • Demonstrated strong communication skills
  • Excellent customer service skills including being courteous, responsive, accurate and competent
  • Pragmatic, analytical problem solver with a solutions oriented mindset
  • Knowledge of key concepts around master data management preferred
  • A sincere and contagious passion for building Under Armour.A fit with our cultural values
  • Bachelor’s degree in Information Systems, Computer Science, Engineering, Business or similar discipline
  • 6+ years leading data quality initiatives preferably gained within a complex, multi-billion dollar organization
  • 3+ years’ experience working in a consumer goods environment. Experience in Apparel and Footwear industry a plus
  • 3+ years’ experience in data entry, maintenance, investigation, and reporting in an information management system or complex database. Relevant data preferred
  • 2+ years of experience as a Business Analyst preferred
  • 2+ years of experience supervising others
  • 2+ years of experience using an ERP system. SAP master data acumen preferred
  • Passion for sports and product is a plus
26

Data Quality Internal Control Resume Examples & Samples

  • Help in the implementation of Standards expected for MCA (based on the Gold Copy and Heightened Standards)
  • Participate in Franchise Reviews and other initiatives and projects from the OGC
  • Ensure the RCM is fully covered including the Global and Local Citi Policies
  • Participate in the implementation of the MCA Heightened standards across GFB to ensure the MCA Program becomes the fundamental tool to make the Internal Control Program operational
  • Ensure complete analysis from the areas of the RCM as the first step to get a healthy MCA process within the different areas of GFB
  • Internal Control functions inclusion in the MCA program of the entities
  • Graduate or Post-Graduate
  • Work Experience: 10 years
  • At least 3+ years of experience in successfully managing Compliance programs through the full project lifecycle, from conception through rollout and ongoing support
  • Industry and relevant Compliance or Control knowledge is required
  • Managerial experience
  • Financial services industry experience a plus
  • Financial and/or management reporting experience
  • Strong knowledge and broader use of MS Office including, Project and Visio
  • Bachelor’s Degree
  • Fluent in English and Spanish
27

Lead Data Quality Developer Resume Examples & Samples

  • Coordinates design activities with other Developers to ensure project adheres to project specifications, and provides Supervisor and/or Project Manager with level of effort estimations, milestone timelines, and periodic status updates
  • Manages entire life cycle of most assigned projects
  • Provides guidance and mentoring to junior level Developers and performs regular code reviews to enforce coding standards and quality
  • Develops deployment software and application administration software as well as creates deployment and application support documentation
  • Manage end to end data quality implementation to ensure quality of data content and all aspects of data quality dimensions using industry standard tools like Informatica IDQ on Hadoop (Hive, Storm, Pig, DVO, IDQ, and Analyst) and RDBMS technologies
  • Knowledge and experience in Advertising Optimization-preferred
  • 8+ years' experience in software delivery
  • Believes that agile inspires customer loyalty (when implemented well) or can destroy your business (when misused or misaligned)
  • Likes challenges and accepts you will fail more than succeed
  • Enjoys understanding people and what truly motivates them
  • Is a good listener and is interested in learning what contractual or monetary drivers are impacting behaviors
  • Believes in seeing behavior problems on a chart, as opposed to seeing a metric
  • Understands that QA and Dev might be separate due to cultural or contractual decisions
  • Looks for what we can change now as a team, as opposed to what the books tells us should be in place
  • Is extroverted and has a good way to recharge their own enthusiasm
28

Associate, Data Quality Issue Management Resume Examples & Samples

  • Enhancement Testing
  • Ability to structure communication to various different levels (e.g. seniority) and types (e.g. Technology, Operations, Finance) of audience
  • Familiarity with operational controls
29

Senior Manager Data Quality Resume Examples & Samples

  • A minimum of five (5) years of combined experience and in-depth knowledge of data management, change management, banking, business analysis, process management, and financial analysis
  • Knowledge of one or more data quality management tools (e.g. Information Analyzer, Ataccama, Trillium, Informatica)
  • 195 years. Working with us means being part of a team of talented and passionate individuals with a shared focus on working together to deliver great customer experiences. We stand behind your success with the support you need to turn your potential into performance
30

Data Quality Domain Lead Resume Examples & Samples

  • Lead the DQ team
  • Issue impact analysis and prioritization capability, scalable to meet demand
  • Support in Issue and root cause analysis
  • Divisional DQ issue remediation plan tracking
  • Transparent reporting of issue management, data quality improvement, and business value
  • Support overall Data Management initiatives and drive culture change across the Divisions
31

Head of Data Quality Resume Examples & Samples

  • Managing standards for consistency, completeness, timeliness and accuracy of data inputs to market risk
  • Working with MRM, Change the Bank (CtB) and upstream partners to deliver the required data quality
  • Developing and delivering the Holistic Validation (HV) Governance and Reporting framework
  • Working with MRM CtB to achieve remediation plans in compliance with the requirements of BCBS239
  • Working with the Current and Future Production teams to ensure that operational Management Information Systems (MIS) (Key Reporting Indicators and Key Performance Indicators) are complete, with appropriate thresholds and escalation triggers defined
  • Working with MRM CtB and MRC Mumbai to enhance data storage and the reporting platform for operational MIS, BCBS 239 metrics and HV dashboards
  • Ensuring Banking Book completeness (linked to the MRiBB Programme)
  • Reporting on quality, governance and rationalisation
  • Ensuring that key processes are performed in the most efficient and cost effective location - ‘Home of Best Fit&#8217
  • Being responsible for regulatory and audit interaction – taking a leadership role in ensuring that regulatory and audit requests are managed professionally and diligently on behalf of the MRC function
32

Data Quality Product Owner / Build Manager Resume Examples & Samples

  • Metadata harvesting using a mixture of vendor and custom built harvesters. Almost every new metadata import requires some changes to the logical and physical metadata data model so input into model design is expected
  • Development of graphs to support data discovery and data quality rules. Graph development will need to follow firmwide data development standards such as automated unit testing, code version control and continuous integration. In some cases detailed metaprogramming may be required. (Language similar to C++)
  • Design and development of service interfaces to extract data from the MDR for consumers using firmwide design patterns. Part of this will be building a simple consumer interface to allow users from a Sharepoint site to access metadata stored in the MDR
  • Consultation with other AD teams who want to use metadata to ensure their requirements are accommodated in the best way that is synergistic with existing metadata storage patterns
  • Establishing mechanisms to keep the metadata current and to remove unwanted historical metadata
  • Working with peer in other JPMChase lines of business to share best practice around metadata management
33

Data Quality Engagement Leader Resume Examples & Samples

  • Advanced degree preferred. (Masters or above in fields including but not limited to: Information Systems, Economics, Statistics, Operations Research, Mathematics)
  • Data quality business process improvement experience as it pertains to compliance and data quality initiatives
  • Ability to thrive in a dynamic and fast-paced environment
  • Experience driving large-scale technology-based change initiatives, in consumer banking such as retail banking, credit cards, mortgage, investment products, small business and commercial banking
  • Outstanding analytical and organizational skills with an attention to detail. Tenacity to identify the root cause of problems is essential
  • Willingness to pitch-in with other team members. Entrepreneurial spirit and the ability to objectively evaluate established business processes, policies and programs
34

Senior Manager, Data Quality Resume Examples & Samples

  • Strong SQL or data analysis skills
  • Knowledge of referential and large data formats and file structures, particularly big data on Hadoop
  • Drives operational excellence through standardization of agreed upon best practices. Drives out defects and ensures processes are in place to positively impact customer experience
  • Develops business requirements, assesses current reporting capabilities, and makes recommendations for improvement. Researches new technologies related to BI and makes recommendations or leads implementation of new systems
  • Measures effectiveness of improvements through deep analysis of data on performance metrics striving for cost effective high quality improvements
35

Data Quality Team Lead Resume Examples & Samples

  • A bachelor's degree in finance or computer science
  • Experience working in a fast paced environment where you can monitor/ update all data feeds
  • Experience working in the financial sector
  • Working with (SQL, Excel or FTP)
  • The ability to manage people as well as stay hands on technically
  • Strong steak holder management skills, capable of liaising with all aspects of the business
  • Analytical and detail oriented
  • Strong communicator of both user requirements and technical detail
36

Risk Data Quality Engagement Leader Resume Examples & Samples

  • Superb ability in strategic thinking and the ability to frame business problems. Excellent communication skills & ability to work with senior management required
  • A strong collaborator with a demonstrated ability to influence broadly and challenge conventional thinking. Experience in collaborating with cross-functional teams. An influencer who communicates clearly and frequently to both technical analysts and non-technical business leaders
  • Strategic thinking and the ability to frame business problems
  • Solid working knowledge of core business functions such as quality management, data management, business intelligence, and information technology
  • Demonstrated ability to deal with ambiguity and to interface with internal and external resources to define requirements
37

Manager, Data Quality Resume Examples & Samples

  • Technical Writing requirements, event summaries and recommendations (etc.)
  • Process Modeling and documentation
  • Strong prioritization and time management skills
  • Profiling large, complex data sets
  • Scorecards
  • Experience with Informatica Data Quality (IDQ) Analyst & Developer preferred
  • Experience with Informatica Big Data Edition (BDE) preferred
  • Knowledge of tools to query and manipulate data in varying file formats including Teradata, Hadoop and other databases
  • Ability to convey complex technical issues/problems to programmers in a clear/concise manner
  • Creative, tenacious and diligent
  • 5-7 years of relevant employment experience
  • 5+ years writing technical requirements and business logic
  • 5+ years process documentation and depicting data lineage
  • 5+ years interpreting data models, data dictionaries and queries
  • Ability to write moderately complex SQL queries required
  • Exposure to the following a plus: Hortonworks, Hadoop, Teradata
  • Leads internal and external program teams for scheduled product rollout-Creating requirements documents, obtaining signoff, managing risks, and documenting new and changed processes
  • Drives the technical production processes, infrastructure, monitoring and tools for project delivery
  • Carries out post-event analysis to validate forecast assumptions and identifies all additional factors associated with the change
  • Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary
38

Data Quality Processing Assistant Resume Examples & Samples

  • Ensure a high standard of customer service at all times
  • Liaise with customers and customer service teams by phone and email
  • Develop and maintain a professional working relationship with internal and external customers
  • During peak processing periods lead a team of temporary staff in line with Pearson’s policies, procedures and values
  • Deliver processes to meet Service Level Agreements
  • Effectively escalate any issues to the Team Manager
  • Complete quality checks of results data to support the delivery of accurate results
  • Participate in regular team communication to review progress
  • Carry out other duties as directed by management. This may include working from other local facilities
  • Resolve errors in candidate registration and entry data received from customers
  • Resolve queries received from customers and first line customer service teams
  • Support the accurate, complete and timely delivery of certificates to customers
  • Co-ordinate the production of early certificates for customers when required
  • Provide second line support to the customer service teams on a range of queries
39

Risk Data Quality Associate Resume Examples & Samples

  • Working with business SMEs to define, author, code, and implement advanced data quality rules
  • Partnering with CCB Data Quality Operations and CCB Technology to optimize data quality tools and processes
  • Utilizing data profiling and data quality tools and applying them to various data sources to implement data quality rules
  • Developing metrics to track the ongoing data quality trends across a variety of dimensions; Analyzing metrics and prioritizing areas for data quality improvement
  • Communicating data quality monitoring results to management
  • O 5+ years experience in Risk data analytics, data management, or data quality at a large firm
40

Firmwide Data Quality Exception Framework Resume Examples & Samples

  • Five or more years’ experience in system development life cycle, software project management approaches, design and test techniques
  • Must have strong experience in various aspects of Application Middleware including Java Application Servers and other technologies
  • Ability to adapt skills to work in multiple different languages / technology stacks
  • Understanding of Architecture process; ability to translate high level strategies into actionable roadmaps and deliverables
  • Excellent Windows/UNIX/Linux skills
  • Experience with a Service Bus / knowledge of data integrations (SOAP, REST Services, OSB, ETL Tools, etc)
  • Experience with Databases and Data Modeling and querying (Oracle preferred)
  • Strong analytical skills, excellent oral and written communication skills, be self-motivated, and be able to work in stressful situations with changing priorities
  • User Interface design and development skills would be a plus
  • BI Reporting skills leveraging QlikView and/or Tableau are a plus
  • Working knowledge of the Banking and Financial industry a plus
41

Data Quality Assistant Resume Examples & Samples

  • Organization and preparation of Gating Meetings
  • Ensuring validity, availability and tangibility of needed market-analysis data
  • Supporting the Technology Group in launching the Sherlock Application
  • Analyzing innovations and enhancing their business potential
  • Guiding users through Sherlock tasks and the innovation process
  • Communication with innovation and Sherlock stakeholders
  • Consulting of associated departments, understanding their issues and helping to solve them
  • Documentation and handling of training and process documents
  • Ensuring process compliance
  • Filling data into the tool and guaranteeing high data quality
  • Bundling and analyzing users feedback
  • Reporting potential of improvement and bugs
  • Reporting of usage statistics
  • Developing and executing measures to increase participation
  • Cooperation within workshop planning and support of execution
  • Cooperation to define prospective range of services within the market analysis area
  • Collaboration with engineers and software architects to expand the range of services
  • Bachelor Degree in Business Administration
  • Advantageous knowledge about HARMANs data structure
  • First cross-functional experience within relevant industries (automotive, consumer electronics, IT)
  • Excellent MS Office skills
  • Excellent communication and analytical skills
  • High motivation, hands on mentality and willingness to support
  • English fluently written and spoken, German and Chinese languager are advantageous
42

Analyst, Enterprise Data Quality Resume Examples & Samples

  • Perform item set-up process analysis to support continuous process improvement projects and operational excellence
  • Perform content audits to enforce data standards across all selling channels
  • Package and present recommendations from product data audits and process improvement opportunities
  • Execute processes for creating and purging product data, and monitoring the add/removal/modification of item data elements. Manage/administer merchandise hierarchy and item delete processes
  • Maintain and manage the Product Catalogs, including permissions, alert routing, workflows, business rules, new data element requests, and enforcement of quality standards
  • Train application users on existing and new item management functionality. Participate in cross functional initiatives serving as the champion for data quality and process improvement
  • Assist with creation of content policies, style guideline adherence, audit procedures and the performance oversight of the offshore content team
  • College degree in a relevant retail discipline such as Merchandising or e-Commerce operations
  • 2+ years of analytical experience related to retail process improvement initiatives, involving various selling channels (Stores, Website and/or Mobil)
  • Basic understanding of e-commerce operations, content management and customer impact
  • Superior aptitude for learning technology applications
  • Critical thinker, results driven problem solver
  • Highly collaborative with ability to effectively communicate and partner with multiple stakeholders
  • Ability to present and train others
  • Candidate must demonstrate ability to multi-task in high volume department balancing speed and quality
  • Proficient in MS Office products (Word, Excel, Power Point, Access,) SharePoint and Visio
  • Prior experience working with or supporting Stibo Step Solution and/or Oracle Retail Merchandising Suite (RMS) is highly beneficial
43

Data Quality & Collection Specialist Resume Examples & Samples

  • 1-3 years of work experience in a professional, data-driven environment
  • Experience in using Excel and SQL to manipulate data
  • Previous experience with scripting languages (eg python or perl)
  • Experience in one or more of the following: quantitative data collection, cleaning, processing, and data management
  • Knowledge of- or interest in- the education field. Familiarity with current student assessment and accountability practices
44

Data Quality & Processes Manager Resume Examples & Samples

  • Leads a regional team that governs product, technical documentation, customer & contacts and supply chain master data through robust processes, policies, standards practices and control mechanisms resulting in a data-driven culture
  • Drives high data quality, integrity and completeness of assets and robust process capability through lean six sigma and change management methodologies and tools; publishes regular performance scorecards and dashboards including analysis against organizational objectives and industry benchmarks
  • Defines the standard for process documentation around data creation, maintenance and usage throughout the region. Defines and owns processes related to data management. Ensures processes quality by gradually increasing processes maturity and governance and leading a data-based process continuous improvement effort
  • Serves as Eaton’s representative and/or leads industry association working groups such as IEC, ETIM, eCl@ass, OPC Foundation, Internet of Things (IOT) and big data to drive industry standards
  • Leads regional requirements and deployment of enterprise data initiatives such as the Product Data Hub, Data syndication system, e-commerce with customers, Technical documentation and Web refresh, Customer 360, ERP implementations including SKUs extensions, and financial reporting
  • Develops new capabilities and drives adoption of new technologies in partnership with enterprise and market-wide initiatives through a variety of technologies, platforms and delivery and data interchange mechanisms
  • Directly engages key customers to digitize product data interchange and drive sales growth through e-marketing and e-commerce
  • Provides leadership in developing overall data information and data structure; reduces the level of redundant and non-value added business activities on multiple data checks or rework
  • Act as a liaison across organizations and functions above to ensure alignment of business objectives and technology and determines data usage needs with stakeholders in the EMEA region
  • Has authority to resolve issues on data ownership across work-streams, or across the business
  • Manages regional budget to meet objectives
  • Minimum Bachelors' degree in Engineering, business management, IT or marketing
  • 10 years Engineering, marketing, IT experience. Electrical product, market, and channel knowledge a plus
  • Knowledge of end-to-end processes and impact of data flows across different functions
  • Proficiency in Lean Six Sigma and Agile / Scrum methodologies and tools and able to drive this culture throughout organization
  • Knowledge of various IT systems and processes in product management, manufacturing, marketing and engineering (Eaton’s a plus)
  • Data management, governance framework knowledge
  • Knowledge or Business Intelligence and Analytics
  • Experience with performance metrics and KPI implementations and standardization
  • Working with cross-functional teams in a global culture and dynamic environment. Ability to establish strong internal working relationships and interact with external customers
  • Demonstrated communication, leadership, team building and people management abilities. Leadership experience in matrix organization required to be able to coordinate and influence
  • Knowledge of Data warehouse, Product Data Hubs, ERP, sales and marketing, and financial systems a plus
  • Fluency in English is a must, any other European language will be an advantage
45

Data Quality & Conversion Analyst Resume Examples & Samples

  • Experience with designing, developing, and executing tests that confirm the success of the data conversion process
  • Experience in working with data and how it supports the business
  • Experience with documenting business requirements
  • Experience with Microsoft Excel, including Macros, Formulas, or Pivot tables and Access, including Visual Basic
  • Ability to be successful in ambiguous environments
  • Ability to learn COTS tools and established processes related to data conversion design or build activities
  • Experience with data quality investigation and root cause analysis
  • Experience with AF systems and processes related to civil engineering a plus
  • Experience with designing and executing end-to-end integration testing
  • Knowledge of data structures associated with various styles of system design
  • Possession of excellent analytical, problem-solving, presentation, analytical, and technical skills
46

Manager, Data Quality Analytics Resume Examples & Samples

  • Inventory, become the SME and go-to person for all sub-national data files and their details associated with the Business Analytics team
  • Maintain full data inventory as up-to-date by working with the BA team about data needs at the most granular level; working with vendors to ensure complete and timely receipt; working with the alliance partners for exchange of shared data
  • Work with very large data sets associated with the data inventory - millions of records in both databases and flat files, provided to Regeneron by data reporters such as IMS as well as Patient Support Program (HUB) and Specialty Pharmacy data aggregator vendors
  • Investigation of these large databases and flat files using SAS or BI tool data tables to manipulate and research the data
  • Identify all data quality issues related to a patient journey from HCP to Regeneron product via the Patient Support Program or Direct to a contracted Specialty Pharmacy
  • Daily scrutiny of all patient status records reported by the data aggregator at the lowest level of detail
  • Daily conversation with data aggregator vendors, alliance partners, and Regeneron Trade team about the patient status records and any data anomalies
  • Identification of all data quality issues related to IMS reported data
  • Solid understanding about the overlap of the IMS reported data with the Patient Support Program and contracted Specialty Pharmacy data
  • Identification of all data quality issues related to alliance shared data including but not limited to field activity ie, call activity, samples, speaker programs
  • Grasp and maintain a solid understanding about Specialty Therapy business models including Patient Support Program and contracted Specialty Pharmacy operational process flows and associated data
  • Develop metrics and communication vehicles to report out about the data quality issues
  • Research and recommend innovative, and where possible automated, approaches for data quality improvement tasks
  • Harvest and sort through all data files initially in order to establish a basis for inventory
  • Grasp solid understanding about the full continuum of activity, including data and reporting, across the Business Analytics team in order to determine what the inventory should consist of
  • Situational analysis and audit of the Patient Support Program and contracted Specialty Pharmacy data flows leading to the reported data
  • Recognize and investigate data anomalies and propose solutions
  • Extract insights from the data, involving a level of analytical comprehension and manipulation
  • Business judgment to guide analysis, draw implications from the data and synthesize into succinct and clear communications, with a sharp understanding about when to share widespread vs locally/individually or not at all
  • Identify gaps in processes and areas for improvement
  • BA/BS degree required
  • Minimum 7+ years pharmaceutical industry experience within related data areas
  • 3+ years hands-on working experience with IMS data including Xponent Plantrak and DDD, Patient Support Program and Specialty Pharmacy data, Field Sales Activity data
  • 3+ years experience with Data Quality initiatives (data profiling, improvement, accuracy, completeness, data integrity, data stewardship, and data governance)
  • Demonstrated experience with Problem Solving
  • Able to work within a fast-paced environment with quickly changing priorities
  • Must be a fast learner, willing to learn independently, and comfortable taking initiative and knowing when to/not to
  • Strong time management skills to juggle multiple priorities under time constraints
  • Strong organization skills in order to establish and maintain a reliable data inventory in terms of content and access
  • Able to work in an ambiguous environment with complex undocumented business logic and data flows
  • Solid communication skills (written and verbal) and teamwork capability a must
  • Able to work with partners from other companies (Alliances and Vendors) and within culturally diverse environments
  • Able to represent the team when attending project meetings and when engaging with all key stakeholders yet equally effective as an individual / independent contributor
47

Data Quality Resume Examples & Samples

  • Oversee daily business area DQ team activities, including design and execution of strategy, workload management, monitoring of team performance and continuous development of individuals within the team
  • Engage with senior representatives across IB Functions, Business and Programs, and establish a defined book of work that will address all their data quality requirements – agree milestones and implement delivery plans
  • Manage delivery, risk and issues using appropriate reporting
  • Drive business adoption of data quality activities
  • Develop an in-depth understanding of the data requirements of all Functions and Programs supported by the team, and assist with stakeholder navigation of the data landscape
  • Promote education in data management areas within the IB – design creative training materials and ensure effective dissemination (including in person training events)
  • Be a business partner to the business area in scope
  • Strong experience in data quality
48

Data Quality Agent Resume Examples & Samples

  • Responsible for remediating the data information environment within bank systems using focussed investigation and analysis to help drive Barclays towards becoming a truly customer centric organisation
  • Undertake a range of remediation activities, with the ability to understand problems and recommend solutions in order to maximise service excellence
  • The ability to interrogate and analyse the various data work streams and translate into a positive and correct change to the customers records within the Bank’s core information system
  • Undertake a range of processing and administrative tasks in accordance with company policy and procedures
  • Proactively develop the necessary knowledge and skills needed to achieve successful delivery and provide accurate and current advice and appropriate support to customers and colleagues
  • Achieve or exceed team targets as defined by service level agreements and local key performance indicators
  • Mathematics and English Language GCSE minimum Grade C or equivalent
  • Full working knowledge of Microsoft Office
49

Data Quality AVP Resume Examples & Samples

  • Perform data quality activities (planning, identification of issues, statistical analysis, data quality rules creation and governance, root cause analysis, remediation business case, actual remediation where appropriate and monitoring)
  • Drive IB improvements to maximise value of data quality (e.g. drive changes to have access to required metadata to maximise impact of DQ, create survey tools to help gather missing information)
  • DQ value
  • DQ processes and approach
  • DQ tools
50

Executive Director, Data Quality Resume Examples & Samples

  • Management and development of a data quality team
  • All aspects of quality assurance for new Industries per the Checkout Industry release calendar
  • All aspects of quality assurance for the Industries already in production
  • Development of process and metrics to support data quality results
  • Negotiate with Checkout Product on definition of data “readiness” for each data set
  • Guide team to develop proficiency in various industries to be able to review data results and understand how they compare with POS trends, Checkout Product and NPD Practice expectations
  • Liason between Checkout Operations, Checkout Product, Checkout Commercial, NPD Practice as it relates to data quality and understanding expectations for data readiness of new industries
  • Proven success working in Excel, Tableau, Alteryx or the equivalent a plus
  • 5+ years managing and developing a team
  • Ability to analyze and interpret data
  • BA/BS degree
51

Data Quality Profiler Resume Examples & Samples

  • Data Analysis and profiling
  • Database concepts such as Data Models, Schemas, SQL, Oracle, DB2
  • Excel: importing and manipulating data
  • Experience in Database Knowledge such as Oracle, DB2, SQL
  • Experience in DataStage
  • Experience in Data Warehouse projects is a plus
  • IBM InfoSphere Information Analyzer
  • Column Analysis
  • Defining and managing Data Quality Rules
  • Defining and managing Data Quality Rule Sets
  • Defining and managing Data Quality Metrics
  • Using user-named tables to capture rule results
  • IBM InfoSphere Information Server (Information Governance Catalog, Data Quality Console, Data Exception Console, IMAM, etc.)
  • Formulate business rules for data
  • Translate business concepts and concerns into logical statements and code
52

Data Quality Dart Team Resume Examples & Samples

  • University Graduate
  • 3+ years of experience in financial services or related industries
  • Good People Skills and ability to drive energy levels within the team
  • Basic SQL skills(optional)
53

Data Quality Associate Dart Team Resume Examples & Samples

  • Provide Reference data knowledge support to help build DQ rule inventory
  • Business/Data analysis of Reference data issues
  • Data Rule Execution result reporting
  • Work with technology partners to establish DQ Infrastructure projects
  • Ability to manage global partners and requestors
  • Controls and innovation mindset
  • Good Analytical and Problem Solving Skills
  • Excellent Time Management Skills and highly result oriented
54

Data Quality Associate Dart Team Resume Examples & Samples

  • Project Management of Data Quality Firmwide Reference data related
  • Data Quality Issue Metrics reporting
  • Work globally with data domain teams to update Data Issue tracker
55

Data Quality Programming Specialist Resume Examples & Samples

  • Be available for new projects, present an understanding of adaptability and flexibility
  • Look for more efficient ways of work by reviewing current processes/tools to look for ways to enhance our productivity
  • Interact with the team and other departments to better understand how different departments function, plus build relationships to better complete the job at hand
  • We are a global team, so work together globally in order to see that all work is completed timely and accurately
  • Identify, resolve and communicate data integrity issues, ensure exceptional customer service by quality checking and meeting SLA's
  • Communicate clearly and concisely for ease in audience understanding
56

Data Quality Associate REM Team Resume Examples & Samples

  • Build Connectivity of IDQ to Data Stores
  • Data Profiling
  • Run Data Profiling against Authoritative Data Sources
  • 5+ years of experience in Informatica development/project experience
  • Strong SQL skills to build query/expressions as part of rule expression
57

Manager, Data Quality & Technology Resume Examples & Samples

  • Design and implement systems that process national gifts, including all gifts received through third parties
  • Design and implement systems that ensure all donations are acknowledged within 3 business days of receipt
  • Continuously identify and deliver on improvements to these systems
  • Work with D, Data Quality & Technology to evaluate, design and implement of Teach For America’s new online giving solution
  • Work with other teams to design, build and manage internal web resources to maintain inter-team communications and knowledge about data best practices for both the SAO team and the larger national development team
  • 3+ years of demonstrated experience
  • Previous database experience mandatory
  • Experience with Microsoft Access or SQL preferred, advanced Excel/VBA experience accepted
  • Previous non-profit development or finance operations experience a plus
58

Director, Data Quality & Technology Resume Examples & Samples

  • Work with the IT team’s Business Analyst to research requirements and define enhancements to TFACT and our Business Objects (BOBJ) reporting platform
  • Serve as a content and technical expert in supporting National Development team members’ use of technology and data to deliver on their priorities
  • Serve as a database super-user and regularly meet with other team leaders in similar roles
  • Serve as a liaison between our team and the technology team
  • Work with DQT teammates, Reporting and Training & Support functions to ensure adoption and understanding of data governance best practices and proper use of technology
  • 5+ years of demonstrated experience
  • Exceptional client-service orientation
  • Ability to build strong partnerships with clients, partner teams, and 3rd party vendors
  • Proven ability to thrive in a deadline driven environment
  • Strong collaborative spirit that is apt in working with others while driving projects independently
  • Ability to effectively and consistently organize, prioritize, track, and manage workflow, goals, and resources
  • Ability to set vision and direction for complex projects
  • Exquisite attention to detail and organizational skills
  • Ability to draw from data and prior knowledge to develop insightful conclusions and strategic solutions
  • Technical systems orientation mandatory
  • High level of technical skills in Microsoft Access or SQL preferred, highly advanced Excel/VBA or similar accepted
  • Use of Business Intelligence systems a plus
  • Previous non-profit development operations experience a plus
59

Wire Data Quality Review Analyst Resume Examples & Samples

  • Perform a post facto review of wires/transactions to check for issues in data quality
  • Review of transactions (SWIFT, FED, CHIPS and IAT) on a daily basis to check for issues in data quality
  • Identify data quality issues like data truncation, splitting of words across lines, missing key fields and use of special characters in transactions and record the review and disposition in the review tool
  • Report data quality issues to the compliance management in a timely manner
  • Analyze and identify trends in data quality of the wire transactions
  • Utilize broad compliance knowledge to formulate decisions and make recommendations
  • Perform special projects as required and any other duties as assigned
  • 3 - 6 years of general banking/ compliance experience in BSA/AML and OFAC compliance
  • Experience with handling payment format messages (SWIFT, FED, CHIPS and IAT). Knowledge of
60

Manager, Data Quality Resume Examples & Samples

  • Sample
  • Projections
  • Imputation
  • Data Editing and Outlier Controls
  • Calibration and Benchmarking
  • Final data outcomes
  • Design, build and implement QC/QA reports/tools focused on outcomes critical to client needs that are automated, standardized wherever possible and inclusive of advanced issue detection mechanisms to drive enhanced quality control
  • Promote consistency and best practices in the implementation of QC/QA processes across different businesses within Softlines sector across all relevant Geographies
  • Work closely with Methodologists to build the appropriate checks/reports
  • Maintain relationships with Research Services client teams to ensure adoption of QC/QA processes with close coordination on best practices and continuous improvment
  • Align with Product, Commercial, and RBG members to ensure that we are focused on the most critical outcomes
  • Communicate results and procedures to internal clients
  • 5+ years of experience
  • Fluency of multiple key Consumer and POS methodologies, processes and procedures
  • Strong understanding of data collection and analytical processes
  • Detail-oriented with strong organization/project management skills and the ability to manage multiple priorities/deadlines
  • Ability to communicate ideas and analytic results effectively both verbally and in writing to both technical and non-technical audiences
  • Proven success in ability to consult and to interact effectively with senior internal clients
  • Proficiency in analytical tools such as SAS and R is preferred
  • Proficiency in MS Office (Excel, PowerPoint and Word)
  • BA/BS
61

Director, Business Data Quality Managment Resume Examples & Samples

  • 7+ years of experience with SQL
  • 3+ years of experience leading and managing a small to medium sized team
  • 4+ years of experience with building business validation checks and controls around data quality, integrity, accuracy and comprehensive
  • Strong business acumen and business sense. This is not an IT role – the leader will act as an interface between the business and data, with a strong hands-on understanding of the underlying data quality, accuracy and integrity problems
  • Strong business process aptitude and an ability to quickly learn business processes and how the processes link to back-end data and the data quality and accuracy issues
  • 8+ years of professional experience in a corporate environment
  • 5+ years of experience in Business Intelligence, Business Information Management, Data Analysis, Operational Reporting, Data Warehousing
  • 5+ years of experience in correlating business processes and IT applications to back-end databases and systems
  • 5+ years of experience working with large databases and data-warehouses
  • 5+ years of experience as a strong hands-on SQL developer with skills to manipulate, join, aggregate, filter and prepare data with the eventual goal of validation and cleansing of the data
  • Experience working with business leaders and an ability to collaborate with business partners to co-create data and analytical solutions
  • Experience working with business stakeholders and senior leaders in understanding data analytics and information needs, and executing on transformation of high-level, abstract data needs into meaningful data management solutions, information and analysis
62

Assistant VP Data Quality Assessment Specialist Resume Examples & Samples

  • Perform data quality profiling, Data Quality (“DQ”) rule prototyping, User Acceptance Testing of DQ rules, investigation and root cause analysis
  • Partner with data domain owners to develop new rules / enhance existing rules that will support the goal of ensuring total quality of the data used for reporting purposes
  • Contribute to the requirements for data quality metrics, dashboards and co-ordinate with IT in development, performing and validating UAT’s as appropriate
  • Follow the Data Quality assessment framework, processes, policies and procedures
  • Coordinate with offshore team on data profiling, data quality rules, key quality indicators and data quality dashboards
  • Effectively communicate relevant project information to team members
  • Share expertise with the project teams’ members and sponsors
  • Bachelor degree required
  • 5- 7 years’ experience in Business Analysis in a financial institution
63

Data Quality Executive, Programme Management Resume Examples & Samples

  • Able to interact with people of various levels
  • Good technical, analytical, communication and inter-personal skills
  • Possess initiative, drive, and ability to work independently and be a good team player
  • Good understanding of data relationship model and data quality dimensions
  • High level of initiative and able to work within timelines
  • Meticulous, detail-oriented and clear thought process abilities
  • Preferably with working experience in small business segments
64

Associate Data Quality Integrity Analyst Resume Examples & Samples

  • Perform quality assurance evaluations and analyses of member usage data received from providers, clients and other sources, ensuring data integrity
  • Write and run database queries to collect data for review
  • Mine data, apply appropriate analytic methodologies, troubleshoot problems identified within the database tables, and facilitate issue resolution
  • Apply appropriate scientific theory and practices to monitor data and identify unusual activity for investigation
  • Conduct provider audits to identify fraud resulting in provider compliance actions inclusive of contractual breach and termination
  • Analyze data against statistical controls, and formulate questions for further investigation
  • Quantify findings. Provide summary and detailed reports which identify affected parties
  • Present data, audit findings, and recommendations in a clear format to a variety of audiences
  • Make recommendations to prevent future data errors, improve efficiencies, and enhance over-all data quality
  • Work with other teams to develop audit findings
  • Provide other ad-hoc analysis to support the business as needed
  • 2+ years’ experience performing data analysis and evaluating data quality
  • Knowledge of business administration and significance of key data
  • Proven ability to organize and prioritize essential job responsibilities
  • Ability to communicate effectively (verbally and in writing) with both technical and non-technical staff
  • Demonstrates a high attention to detail
  • Ability to think independently and formulate recommendations to facilitate evaluation of new approaches to analyzing data and reporting findings
65

Leader, Enterprise Data Quality Resume Examples & Samples

  • Design and implement an approach to develop quality standards and processes specifically supporting the new Enterprise Data Team and Analytics team. As the quality program gains traction, the areas of responsibility and quality management will expand
  • Evangelizing the value and importance of Data Quality across various organizations and functions within Honeywell and our Affiliates
  • Developing an audit/measurement function responsible for the testing and reporting on data element quality attributes
  • Partnering with the newly formed Data Governance team to establish criteria to develop the enterprise goals and measures
  • Creating/owning a process for executing on root-cause issue identification, evaluating corrective actions, and working with teams on the aligned remediation plans
  • Creating a cross-functional, matrixed Data Quality team. This will ultimately ramp to include direct reports that will work with the Business units to be the 'feet on the ground' to develop the program and manage the ongoing improvements and reporting
  • Lead the evaluation and implementation of the tools and processes to build the organizational readiness and processes to support data quality (ex: leveraging third party sources or data management/cleansing tools)
  • The function of data quality is a strategic focus at Honeywell and will have the opportunity to share progress and educated/train associates on the capabilities of this team. This will include monthly communications and training sessions
66

Manager, Data Quality Resume Examples & Samples

  • Support the Business Services DataMart build and provide on-going support from a Data Quality perspective
  • Strong experience with Informatica Data Quality (IDQ) Analyst & Developer preferred
  • 7+ years of relevant employment experience
  • 4+ years process documentation and depicting data lineage
  • 4+ years interpreting data models, data dictionaries and queries
  • 4+ years of complex query writing and interpretation
67

Director, Data Quality Resume Examples & Samples

  • Analyze Innovation and Engineering operations, including performance and productivity data, error rates and their root causes
  • Interpret results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently
  • Analyze reports to identify operational, performance and delivery issues
  • Conduct ad hoc analyses on Engineering and Delivery teams, functions and programs
  • Design, develop, implement and maintain business solutions and recommendations to improve performance
  • Manage engineering process improvement projects
  • Maintain and publish standard reports and dashboards
  • Maintain databases and develop weekly / monthly metrics reports
68

Data Quality Senior Analyst Resume Examples & Samples

  • Engage with the Regional Finance DQ team, Finance, Chief Data Office (CDO) contacts in the analysis of DQ indicators (e.g., adjustments, regulatory/audit comments, process re-engineering reviews, and other sources) and subject those that qualify as issues to Citi’s Issue Management & Resolution (IMR) process
  • Evaluate data quality issue submissions and proposals for completeness, materiality, clarity, and relevance to Finance objectives and priorities
  • Support the timely progress and resolution of assigned DQ issues in collaboration with CDO, Operations & Technology, system/process owners, and other subject matter experts
  • Collaborate with other regions’ FRO DQ teams in addressing common issues and adopting best practices
  • Execute DQ-related projects as may be required by Regional Finance DQ Lead or FRO Data Management Lead
  • Minimum 5 years of progressive experience in major US banking institutions’ financial or regulatory reporting processes and systems
  • BS in Business, Finance, or Information Systems Management from an accredited university or college or equivalent work related experience
  • Industry certifications (e.g., Certified Information Systems Auditor, Certified Information Management Professional, Six Sigma Black Belt, Project Management Professional) an advantage
  • Strong background in data mining, analysis, reporting, and resolution of system data quality issues
  • Highly effective English oral and written communications and presentation skills for senior-level stakeholders
  • Demonstrated ability in owning and completing concurrent deliverables in a fast-paced, virtual team environment
  • Proficiency in MS Excel and Powerpoint; working knowledge in MS Access a plus
69

Structured Data Quality Eng Director Resume Examples & Samples

  • Defining, implementing, and maintaining best-of-class test engineering strategies, procedures and tools to enhance quality engineering and productivity
  • Effectively allocate and manage QE work in agile cross-functional teams
  • Solve test engineering challenges to draw higher efficiency and effectiveness from the team
  • Driving measurable change in the company’s product and code quality
  • Resource allocation, capacity planning, scheduling, risk management, issue resolution and productivity metrics tracking
  • Mentoring and leading their team to deliver features and updates on schedule while achieving high quality objectives
  • Define the next generation test engineering and automation strategy for the assigned programs and features as well as oversee its implementation
  • Performance reviews, compensation, career planning and recruiting new talent as required to manage varying work load
  • Proven experience working in agile environment and cross functional teams
  • Strong knowledge of end-to-end web application flows and tiers
  • Strong knowledge of testing nonfunctional requirements e.g. load ‘& performance
  • Strong knowledge of Java application development and testing
  • At least 10 years of experience in quality assurance/quality engineering, including at least 5 years in a management role
  • BSCS or BSEE or other related four-year technical degree required
70

Data Quality & Visualization Lead Resume Examples & Samples

  • Develop and lead data selection, information visualization and reporting strategies
  • Develop data quality standards and governance processes
  • Develop data usage and handling rules with business partners
  • Support collection and reporting of key quality program performance indicators
  • Partner with enterprise data asset teams and data stewards to drive innovation and deliver program objectives
  • Partner with data scientist and analyst to support trending and predictive analysis
  • Drive adaptation in information use and assist in data change management
  • A strategic data driven thinker who is outcome focused with a strong passion for innovation
  • Customer focused, collaborative in approach, agile and open to change
  • Highly self motivated and directed with a desire to learn and grow within the company
  • A high level of comfort with ambiguity and strong ability to respond quickly to new opportunities
  • Must work effectively with teams and networks with strong written and communication skills
  • 8+ years experience in a business, IT, data analytics or technical discipline
  • Agriculture experience a plus
71

VP Data Quality Rules Resume Examples & Samples

  • Oversee the Data Quality assessment framework, processes, policies and procedures
  • Oversee and provide guidance to the team on the work involved in data profiling, assessment of data quality rules and identification of DQ issues
  • Participation in data quality investigation and root cause analysis
  • Coordinate with offshore team on data profiling, data quality assessments, key quality indicators and data quality dashboards
  • Work extensively with Issue Management & Remediation team for remediations around the identified data quality issues
  • Effectively communicate relevant project information to senior management and project team
  • Provide guidance and share expertise with the project teams’ members and sponsors
  • Follow appropriate change control and configuration management procedures
  • 10 - 12 years’ experience in Project management / Business Analysis in a financial institution
72

Business Data Quality Senior Analyst Resume Examples & Samples

  • Extensive knowledge of HR architecture (including Careers); dependencies and interdependencies, as well as integration with HR and finance processes
  • Familiar with HR process, SAP and ATAS system and well understand how to utilize the current reporting to execute data quality improvement
  • Solid understanding of Accenture organization structures, uniqueness in scope and responsibilities, and how they work together to achieve data quality improvements
  • Ability to negotiate and influence discussions with different HR teams
73

Senior Manager, Data Quality Resume Examples & Samples

  • 1 – QMS DESIGN
  • Has deep understanding of how to manage quality within a ‘big data’ environment, and is able to translate this understanding and experience into tangible metrics, statistical mechanisms and processes for IMS to exert the appropriate level of oversight over the ‘big data’ used to deliver medical\scientific and GxP regulated projects, products and services
  • Act as a subject matter expert on ‘big data’ quality, providing pragmatic and hands-on support to a wide range of stakeholders, internally and externally
  • Understand the principles of risk management and knowledge management, and is capable to define design risk-base mechanisms of ‘big data’ oversight
  • Has competence, credibility and gravitas to define what is/is not acceptable with regards to the quality of ‘big data’, and to educate and influence the organization on data quality matters across levels and geographies
  • Lead quality investigations on ‘big data’, and offers sound and pragmatic advice to operational teams with regards to managing issues related to the quality of ‘big data&#8217
  • Educate BU Quality Leads on the principles of ‘big data’ quality, and how to pragmatically apply these principles to projects and services
  • Assess the quality and regulatory compliance needs, as well as expectations and priorities of the external stakeholders, and adjust the design of data quality systems accordingly
  • 2 – QMS implementation
  • Take personal ownership to learn and foster his/her capability on quality and GxP compliance area he/she might not be familiar with
  • Familiarize with existing QMS standards, systems and processes and drive implementation within a pre-defined geographical area, acting as the primary global quality contact point and supporting Local Quality Leads
  • Coaches, advises, and guides Local Quality Leads as well as project teams, on Quality related matters
  • Support project teams for internal and external Investigations, identifying root cause of Quality and Compliance issues, and planning appropriate Corrective and Preventative Actions (CAPAs)
  • Contribute to the standardization and integration of computerized systems used across IMS Health for selected areas
  • Interact directly with clients, to gain deep understanding of their needs and expectations in relation to Quality Assurance and Compliance, and to confidently explain how IMS Health Quality Management System meets such needs and expectations
  • Participates and contributes to global Quality Assurance Plexus and other relevant QA forums
  • Presents insights and perspectives to internal and external stakeholders, to promote awareness, credibility and adoption of IMS Quality Management System
  • Act as Lead auditor in internal GxP Quality Audits, educating others and breaking down defensiveness, and ultimately ensuring that the internal audit meets its intended purpose
  • Act as Lead auditor in sub-contractor Quality Audit, leveraging his\her knowledge of QA principles and requirements and his past auditing experience to identify key risks for IMS business, whilst working within the appropriate time and confidentiality boundaries
  • Keep his\her knowledge current, monitor the global regulatory environment, and report changes in Quality Assurance and Regulatory Compliance requirements to the global Head of Quality Systems
  • Ensure pro-active scanning of the wider IMS business, with the purpose of indentifying regulated activities, that need to be embedded in the IMS QMS. Based on a risk assessment, propose action plans where relevant, to ensure such activities are properly described and controlled through the QMS
  • Identifies and follows up on new business opportunities, leveraging the credibility of IMS Quality Management System
74

Manager, Data Quality Resume Examples & Samples

  • Defining and implementing a data quality program for Finance within the Enterprise Regulatory Reporting platform (i.e., Finance Data Warehouse, FDW) and across its regulatory data processes
  • Collaborating with the Enterprise Data Governance Office to ensure that the data quality solution fits the policies and guidelines of the organization while at the same time meeting regulatory requirements
  • Working with data quality vendors and AXP Technologies to identify and implement a data quality tool for the Finance Data Governance program
  • Facilitating workshops to identify critical data elements, data quality rules, thresholds, and other business requirements
  • Defining process to produce monthly and quarterly data quality scorecards for review and attestation by key business users
  • Collaborating with Technology team and Data Stewards to develop and implement data quality dashboards and reports
  • Defining key performance indicators as success metrics for the data quality of the program
  • Involved in recommending strategic improvements to data assessment process and making necessary enhancements to the data analytical tools
  • Involvement with supporting technology projects to improve data quality, reports, or process
  • Updating and maintaining business metadata documents, as required
  • Assist in the remediation of Audit and Regulatory feedback on the data quality program
  • 4-5 years of work experience, of which at least 2 years in data quality or data quality consulting; Financial Industry preferred
  • Hands-on knowledge and implementation experience on data quality practices such as profiling, scorecards and dashboards, KPIs, and integration with metadata management
  • Candidate must have strong analytical, problem solving, and relationship skills
  • Prior experience in defining and implementing a data quality program
  • Prior experience in managing data and performing data quality assessment and remediation
  • Demonstrated process thinking and must be detail oriented
  • Proven collaboration/relationship skills
  • Knowledge of data quality tools and vendors is a plus
  • Knowledge of Basel, CCAR, or other regulatory reports is a plus
  • Experience managing cross-functional reporting requirements for a DQ program is a plus
  • Demonstrated organizational skills with the ability to meet critical deadlines and manage multiple projects simultaneously
  • Demonstrated ability to promote and drive change to further improve processes
  • Self-motivated and proactive
75

Data Quality & Conversion Analyst Resume Examples & Samples

  • Based enterprise solution, comprehend target data requirements of COTS, and perform analysis of data mappings and transformation logic to comprehend relevant data validation rules. Ensure defects and other gaps identified from validation reports and readiness reports are resolved during each data load cycle. Support the activities of documenting, monitoring, and resolving conversion
  • Related issues with functional and technical teams. Work actively with deployment team members to answer data mapping or integration questions during each phase of the deployment cycle. Work with the deployment team to show the installations and functional team how to read, interpret, and use data validation and readiness reports
  • Possession of excellent analytical, Problem-solving, presentation, analytical, and technical skills
76

Manager, Data Quality Resume Examples & Samples

  • Work with internal and external stakeholders to remediate incorrect, invalid, or non-conforming client-provided data, survey data, and COM hierarchies
  • Develop, implement, and document validation workflows
  • Define business rules/quality thresholds
  • Profile data sources
  • Monitor queue and execute tasks presented by MDM workflow
  • Set up clients on internal systems
  • Tactical enforcement of Data Governance policies and rules
  • Works with Research & Analytics, Product Management, IT, and Operations as SME
  • Oversee and provide direction to Data Quality Analysts
  • Manage the onboarding of new Data Quality Analysts
  • Meet regularly with direct reports to review project, performance, and personnel issues
  • Coach and develop direct reports and support them in the development of their skills
  • Manage resource allocation and monitor productivity levels of team members in support of business operations
  • Assist in developing financial plans and annual budgets for Data Quality projects
  • Ability to communicate clearly and professionally, both verbally and in writing
  • Strong decision making and analytical abilities
  • Ability to analyze problems and determine solutions using process and creative problem solving
  • Ability to communicate clearly and effectively with executive level stakeholders
  • Policy, processes, and user documentation authoring
  • Proven ability to successfully lead cross-functional teams
  • 7+ years of progressive responsibilities within Business and IT functions, with a strong track record of organizational leadership and program development. Previous healthcare industry experience would be a major advantage
  • 5+ years of experience in Information Management
  • 2+ years of experience in Data Governance
77

Gpc-data Quality Resume Examples & Samples

  • Responsible for managing performance of a team of Data Quality Specialists by setting clear goals, objectives and quality of work
  • Manage the day-to-day Data Quality administration function, operational performance reporting, tracking requests
  • Responsible for the planning, recruitment, direction, organization and control of Data Quality Specialists
  • Responsible for monitoring the performance of the Data Quality Specialists by establishing a system of reports and communications including Set up reports, regular meetings, regular one-to-one coaching, mid-year and year-end appraisals, provide regular constructive feedback to team members and jointly work with the Data Quality Specialists
  • Responsible for monitoring, reconciliation, completion of set up activities across various Citi Investor Services applications (MOM, MOTO, Multifond, Oasys, GSM, SSM, GTAS etc.)
  • Responsible for providing inputs/suggestions on Cadis application automation and Integration
  • Delivers as per Service Level Agreement at all times. Ensure service quality is maintained
  • Preparing detailed metrics packs showing data quality information for distribution to management
  • Ensure the team provides the best productivity to meet SLA targets
  • Develop and maintain training database, training materials and trackers for the migration
  • Support training for new staffs. Ensure training and parallel run are well planned and executed without impact on delivery
  • Work closely with the stakeholders or other groups in highlighting any issues/exceptions
  • Plays key role in the analysis of exceptions, work closely with business, technology and support areas to investigate and interpret exception findings
  • Assist in the reception and quality assurance of the business requirements, solution design and business process documents
  • Understand the scope of Data Quality and review of Requirements document and provide inputs to Team Manager for preparation of future road maps based on realistic targets
  • Ensure accurate and timely delivery of the assigned tasks
  • Review and maintain process flows, procedure documents of the Data Quality Team
  • Assist in the development of a remediation strategy to cover general business requirements relating to reference data
  • Technical grounding in performance management, discipline and grievance policies, and time management
  • Understanding of recruitment selection techniques, coaching, and individual and team development
  • Minimum 5 years of hands on experience in reference data / set up reviews
  • Must possess sound knowledge on Trade Processing / Reconciliation across different financial Instruments
  • Excellent written and spoken communication skills
  • Strong analytical skills, detail orientation and service commitment
  • Enthusiastic and Self Motivated
  • Ability to work in a dynamic environment
  • Analytical capabilities
  • Must be prepared to work in a shift in line with regions supported including India night shifts
  • Innovative approach to work and continuously identify and implement process improvements
  • 5-8 years of experience in People Management and reference data/Set up reviews
78

Gpc-data Quality Resume Examples & Samples

  • Assist Team lead in preparing detailed metrics packs showing data quality information for distribution to management
  • Assist in developing and maintaining training database, training materials and trackers for the migration
  • Understand the scope of Data Quality and review of Requirements document and provide inputs to Team lead for preparation of future road maps based on realistic targets
  • Review process flows and procedure documents of the Data Quality Team
  • Minimum 3 year of hands on experience in reference data / set up reviews
  • Team player with a positive attitude
  • 3-5 years of experience in reference data/Set up reviews
79

Gpc-data Quality Resume Examples & Samples

  • Minimum 1 year of hands on experience in reference data / set up reviews
  • Must possess sound knowledge on Trade Processing / Reconciliation across different financial instruments
  • 1-3 years of experience in reference data/Set up reviews
80

Head of Business Management & Data Quality Resume Examples & Samples

  • Bachelor's level degree or professional qualification
  • Strong understanding of Corporate & Institutional Banking and Global Markets framework under International Financial Groups
  • Proven ability to manage multiple projects with competing priorities
  • Strong understanding of Due Diligence and local Anti-Money Laundering requirements
  • Preferably with 10 years or more relevant work experience
  • Excellent communication, analytical, interpersonal, and leadership skills
  • Fluent in English (spoken and written), and preferably Chinese (Cantonese, Mandarin)
  • Excellent PC skills, especially in Excel
81

Data Quality & Profiling Analyst Co-op Resume Examples & Samples

  • You are self-driven, and love learning
  • You are responsible and take pride in your work
  • You are detail oriented, love doing data analysis and like writing documentation
  • You can be flexible due to shifting priorities
  • You are fun to be around and can we count on you
82

Data & Quality Integrity Analyst Resume Examples & Samples

  • Perform intra-system and cross-system reconciliation
  • Perform business readiness activities
  • Perform financial accounting / management accounting processes in line financial shared service standard way of working
  • Ensure robust mapping for profit centers/ legal entities as per financial shared service customers portfolio
  • Communicate & act as liaison with end markets/ Regional & Area Teams
  • Apply processes to govern change and to ensure compliance to global standards
  • Adhere to application access, authorisation security and identify management standards
  • Conduct quality assurance on design proposals and ensure they can be adopted as per financial shared service standards
  • Communicate and raise awareness of global and regional design /standards
  • Operate according to agreed financial shared service processes and in compliance with group policies and procedures, and external financial regulations
  • Accounting qualification
  • At least 1-2 years of experience in an global FMCG or similar dynamic operating environment
  • Self-motivated, apply high professional standards and be capable of bringing a strong focus inside the project
  • SAP knowledge and understanding of financial accounting framework (IFRS) is desired
  • Strong computer literacy and analytical thinking is a requirement
  • Rigorous approach to preparation of Reports and strong attention to detail
  • Ability to build excellent working relationships and a track record of influencing key stakeholders from multiple functions
83

Product Data Quality Resume Examples & Samples

  • Self-Direction to effectively prioritize efforts amongst competing demands and escalate issues quickly
  • Dynamic analysis skills to help highlight issues with products or business ideas that our partners are facing our could potentially face
  • Highly motivated, energetic and confident team player
  • Strong communication skills. Essential for interacting at all levels, across business disciplines and regions
  • Willingness to learn and take ownership of completing tasks
  • Ability to multi-task and handle large volumes of work at a fast pace
  • Works well under pressure to meet deadlines
  • Ability both to solve problems and explain underlying issues to non-technical clients and/or colleagues
  • Team oriented
  • Good working knowledge of Microsoft Excel
84

Data Quality DMO Team Resume Examples & Samples

  • Global CAO Operations
  • Compliance & Project Management Office
  • Job monitoring for Compliance data feeds
  • Logging issues as per exception raised daily
  • Oversight of the Defect Management process ensuring adherence to the Defect Governance Model
  • Experience in an Operations environment (preferably with a focus on ensuring data quality)
  • Effective analytical, problem solving and decision-making skills
85

Data Quality DMO Team Resume Examples & Samples

  • Project Management of various DQ Issues across various Lines of Business
  • Work with DQ Issues and triage for Reference data domain root cause analysis
  • Track all data quality issues and provide metrics reporting on progress to both regional and global stakeholders
  • Engage Data Management projects team to support the monthly testing cycle
  • Trade Product knowledge (Credit, Rates, Equities, Fixed Income etc)
  • Data Governance principles
  • Experience leading and/or managing a team
  • Experience in Reference Data Operations
  • Excellent communication, influencing and relationship building skills up to Senior Management levels
86

Manager, Data Quality & Technology Flexible Resume Examples & Samples

  • Serve as a content and technical expert in supporting National Development team members’ use of Salesforce and data to deliver on their priorities
  • Work with DQT teammates, Reporting & Analysis, and Training & Support functions to ensure adoption of Salesforce and understanding of data best practices
  • Previous non-profit development experience a plus
  • Previous database and ETL (Extract, Transform, Load) experience mandatory
  • Ability to build strong partnerships with client and partner teams
  • Knowledge of Salesforce.com is preferred but relevant work experience accepted
87

Data Quality & Performance Resume Examples & Samples

  • Utilize data profiling of the various data sources to uncover and determine root causes of data quality issues
  • Collaborate directly with the business data owners and members to establish quality business rules that will provide the foundation of the organization’s data quality improvement plan
  • Establish a data quality methodology documenting a repeatable set of processes for determining, investigating and resolving data quality issues, establishing an on-going process for maintaining quality data and defining data quality audit procedures
  • Analyze a range of information noting patterns and trends. Present the results in an appropriate format
  • To identify, compile, analyze, assess and present all relevant information, to draw clear and sustainable conclusions as regards to the accuracy, consistency and integrity of the data
  • Strong technical skills and knowledge of advance programming – SQL/SAS
  • Familiarity with Perl, AWK, sed, or other text manipulation tools
  • Experience with high-performance databases and ETL tools, processes, and designs
  • Must have strong analytical abilities and background
  • Should possess good planning and organizing skills and must have an eye for detail
  • Proficient using Microsoft Access, Power Point and Excel/Word including automation and VBA scripting
  • Customer focused with strong written and oral communication skills
  • Ability to manage relationships effectively and work effectively as part of a team
  • Self-motivated – the ability to work unsupervised
  • Engineering Graduate/BE/B Tech
  • 4 – 6 years’ experience in a similar job function in a company wide quality initiative
88

Global Data Quality Summer Internship Resume Examples & Samples

  • Work on a cross-functional team to advance the objectives of the Global Data Acquisition Team
  • Assist in the creation of marketing collateral materials to help recruit new data providers
  • Assist the US and Canadian Trade Operations Team with acquiring updated data from latent providers
  • Assist in the build-out of global performance metrics to be used by D&B Senior Management
89

Data Quality Technician Resume Examples & Samples

  • Responsibility for auditing and correcting data quality issues
  • Audit customer records, decide whether duplicates exist, take steps to cleanse duplicated data
  • Using web browser based tools: search for and identify matches of orphaned records to existing customers
  • Using mainframe and MS Office based tools: search for and identify matches of orphaned records to existing products
  • Requires an Associate Degree; in lieu of degree, will consider 4+ years related work experience
  • 3 years related experience
  • ​Minimum of 90 days as a Rockwell Automation contract employee
  • This position requires a thorough understanding of Windows Office applications including MS Access. Experience with Lotus Notes and Visio is beneficial
  • Have performed more advanced, diversified and somewhat specialized technical work utilizing multiple procedures and guidelines
  • Demonstrated ability to communicate effectively in English, both verbally and written
  • Able to work independently as well as in a team
  • Self-motivated to manage workload and meet expectations
  • Ability to handle changing priorities
  • Dependable and reliable including following directions
  • Polished interpersonal skills
90

Manager, Data Quality Resume Examples & Samples

  • Executing and producing the periodic scorecards and attestation packages
  • Drive data quality improvements by researching, analyzing, and remediating data defects/issues identified through data quality tools
  • Collaborating with Data Stewards and Technology team to develop and implement data quality dashboards and reports
  • Involvement with supporting technology engagements to improve data quality, reports, or process
  • Hands-on knowledge and implementation experience on data quality practices such as profiling, scorecards and dashboards, KPIs, and integration with metadata management. In addition to running the process
91

FAS Data Quality Associate Resume Examples & Samples

  • Provides data entry support to FAS Sales by entering activities, opportunities, and client information into the CRM system (as conveyed through various channels such as voice mail, email, or through an application such as Console or Sales Desktop)
  • Supports FAS Sales by addressing ad hoc data requests relating to their CRM books of business. Examples include adding new contacts or companies, changing demographic data, aligning contacts to teams, offices, or firms
  • Provides data entry support to other CRM users such as Marketing, Client Offer, or Advocacy to support strategic data initiatives and ad hoc requests. Examples include adding new contacts to CRM as a result of a conference or event, or cleansing data to support NPS surveys
  • Follows processes, procedures, and best practices to cleanse FAS data integrity issues identified through the ongoing data quality management process. Partners with leadership and other resources to prioritize data clean up efforts
  • Builds a deep knowledge base of all FAS data sets as the FAS data quality program evolves to manage all aspects of FAS data, namely sales, marketing, operations, web, and third party data sets. Follows processes, procedures, and best practices to cleanse all FAS data sets as the data quality management program evolves to include all data sets
  • Strong data entry / typing skills with attention to accuracy
  • Ability to log work, prioritize accordingly, and meet deadlines
92

Assistant VP Data Quality Assessment Specialist Resume Examples & Samples

  • This role will report to Data Quality Assessment Lead and will have a direct impact on how BNP Paribas enhances its quality framework ensuring it deploys most effectively its resources to detect data quality issues across reporting requirements. The role will specialize in a given data domain initially and may expand in scope as the applicant grows into the role
  • Perform data quality assessment regularly using SQL, excel to investigate the breaks in data quality; Do a root cause analysis, work with Data Stewards to confirm the issues and log the issues in Issue Management log
  • Monitor the execution and results of Data quality rules on a regular basis to identify any spikes or changes in data quality
93

Lead DW Developer With Data Quality Resume Examples & Samples

  • The successful candidate will design complex SAP Data Services job flows to extract from/load to non-SAP systems such as on-premises MS SQL Server, MS Azure SQL Databases or flat files
  • Must possess experience with DI transforms such as Query, Validation; Case transforms as well as DQ transforms such as Match, Associate, Merge, Survive, Data Cleanse and Address Cleanse and will be able to tune jobs for high volume and complex transformation scenarios
  • Participate in planning of development projects; participate in enhancing processes for ETL design, source code control, integration testing, defect management, database standardization and tuning. The infrastructure ecosystem comprises of SAP Data Services, Cognos, SSAS, SSRS, SSIS, Informatica, TSQL, Shell/Perl/ PowerShell scripts, and Siebel Analytics on SQL Server clusters
  • 5+ years of experience in Data Quality engineering preferably in SAP Data Services, SSIS and Data Warehousing
  • 7+ years of dimensional modeling experience and strong understanding of Data Warehouse best practices
  • Strong database experience (incl. SQL, tuning, etc.) on SQL Server
  • Practical and recent expertise on Shell scripting and 3rd generation languages especially C#/Java
  • Strong analytical and logical thinking
  • Meticulous and methodical in creating solutions
  • Excellent verbal and written communication skills with technical and non-technical audiences
  • Experience with .net/Java programming
  • Independent, self-motivated team player
  • Production Support Experience and Flexibility of support after normal business hours
94

Intern, IT Data Quality Resume Examples & Samples

  • Support emerging data quality management program / activities such as defining data profiling rules and evaluating results
  • Identify, analyze, and interpret trends or patterns in data sets
  • Support quality data, reference data and metadata management tools
  • Engage with business and technology partners to document business and functional requirements related to data quality
  • Must have good interpersonal skills. Position will require a good deal of interdepartmental interaction and coordination
  • Proficiency with MS Office applications (Word, Excel, Visio, Access, Project, Power Point)
  • Experience with Data Management and/or Master Data initiative, projects, toolset or concepts, a plus
95

Data Quality Adjustments Analyst Resume Examples & Samples

  • At least 5 years of analytics, operations, accounting or reporting experience, preferably at major US banking institutions
  • BS in Accountancy, Business, Finance, or Information Systems Management from an accredited university or college or equivalent work related experience
  • Strong analytical skills and attention to detail, balanced with adaptability to strategic perspectives
  • Relevant experience in influencing business partners in other geographies and units to submit deliverables based on quality and timeliness guidelines
  • Proven ability to independently organize and manage concurrent deliverables
  • High degree of proficiency in MS Access, Excel; working knowledge in information system flows and structures a plus
  • Willingness to work extended hours where needed
96

Senior Manager, Data Quality Resume Examples & Samples

  • Design and implement robust, scalable, and iterative data management reporting and tooling solutions by
  • Defining and executing against strategic delivery roadmaps, actively managing technology risks, issues and impediments
  • Researching and evaluating new products and technologies to improve monitoring and make root cause analysis efficient
  • Designing solutions that support data management policies & standards of the various data domains, can scale, are architected for the future, integrate with other capabilities, and are operationally efficient
  • Managing the activities surrounding tooling and reporting requirements and working closely with the IT&S solution and operations teams
  • Partnering with customers and stakeholders to understand and clarify requirements to creatively solve data management problems
  • Driving the team to adhere to all existing policies and define new processes and procedures when none exist, while respecting the need for providing end-to-governance governance
  • Responsible for day-to-day management of data management operational activities with reporting and tools by
  • Implementing and overseeing data operations design, standards, practices, and processes
  • Designing, defining and operationalizing reporting dashboards and presentations to communicate key metrics and messages to our business stakeholders and Executive Management as it relates to Data Quality and other Data Management activities
  • Coordinating and delivering ad hoc reporting, tool administration and access
  • Measuring and analyzing program results, while iterating on program changes to optimize results
  • Establishing processes with stakeholder groups to ensure standardization
  • Responsible for managing and resolving high priority operational issues by
  • Supporting operational change requests and overseeing high priority enterprise-wide data issue remediation
  • Facilitate, when required, remediation of high priority (severity 1) issues by working with Data Stewards, Application owners and/or Custodians
  • Collaborating with Data Stewards on issue management analysis and resolution for high priority items
  • Lead the teams that will utilize and enhance Data Management tools/solutions team by
  • Building and sustaining the day-to-day relationships and communications with various levels of management across the organization, including Data Stewards, business and technology stakeholders as well as other internal and external resources
  • Monitoring team performance to ensure that goals are met and drive problem solving
  • Directly managing Reporting and Tool Administration team members and indirectly managing IT teams
  • Motivating teams to deliver high quality results in a fast-paced, collaborative environment
  • Demonstrated ability to manage and supervise a team of business and technology advisors through all phases of the project life cycle, including requirements definition, design, development, conversion and testing
  • Strong judgement skills and ability to influence and clearly communicate complex issues to ensure key stakeholders understand risk and priorities
  • Strong oral/written communication, interpersonal, analytical and negotiation skills to effectively respond to queries
  • A solid understanding of the Bank’s financial instruments
  • Expertise in understanding the Business uses of data and the linkage to the technical development, storage and sourcing of data
  • Total 5+ years of experience of operational, data management experience within an established financial institution, investment bank or fund management organization performing data analysis and research to build and maintain financial or reporting databases
  • Strong and effective working knowledge of database concepts and capabilities, including data warehousing, logical and physical data models, and ETL processes
  • Good time management and organization skills in order to effectively manage concurrent priorities
  • Experience working with a data vendor and / or in-house enterprise data group
97

Global Head Data Quality Resume Examples & Samples

  • Regular dialogue with local Data Quality officers (Data Quality Community) and further embed the data quality framework in the bank
  • Ensure that the local Data Quality Officers sufficiently apply the ING Data Quality Principles (refer to the Data Management Minimum Standard)
  • Defining and maintaining data quality indicators and dashboards
  • Ensure that all data owners measure, analyse and monitor local data quality in compliance with the data quality framework
  • Track the data quality across the bank and periodically report on data quality by means of the data quality dashboard
  • Reporting out to the data (definition) owner, users and management on data quality
  • Ensure appropriate action is taken in case of data quality issues
  • Support introduction of Data Quality tooling on data lakes
  • Proved leadership skills in a changing environment
  • Proven project & program management experience preferably in an international context
  • Experienced in working with a large amount of figures and bank data, understanding how a bank with the size of ING handles data
  • Quantitative and analytical skill set
  • Advanced understanding and experience in the area of data management and/or IT
  • Knowledge of Data Quality dimensions and measures
  • Excellent communication skills and English language skills both spoken and in word are required
  • Experience in Data Quality measurement and improvement
  • Experience in data management and affinity with IT
98

Team Member Data Quality Resume Examples & Samples

  • Back Office & Middle Office Operations teams across the Corporate Investment Bank and Asset Management
  • Issue Management. Root Cause analysis
  • Experience in Compliance/AML/KYC/Trade Surveillance Data Operations
  • Experience in an end to end exception management process; preferably in resolving data quality issues
99

Data Quality Resume Examples & Samples

  • Development of up-front business and data quality rules to increase overall value and use of client data
  • Development and refinement of data quality and sharing rules between GWIM and Enterprise Lines of Business
  • Platform oversight for initiatives impacting client information, business rules, data flow and quality
  • Assist with the oversight and management of the GWIM Data Steward Responsibilities
  • Work with technology to develop data quality metrics and applications
  • Quality Assurance/Quality Control for high risk Data Governance Process
  • Identify opportunities for data enrichment and clean-up, as well as closure of platform gaps
  • Assist with the management of the process and resources to fix data quality issues
  • Previous project management and leadership experience
  • Knowledge of current GWIM data structures and information gathering processes and applications
  • Ability to effectively document and communicate strategic design and intent
  • Effective communication, interpersonal, leadership and relationship building skills
  • Strong ability to multitask
  • Motivated with the ability to work independently
  • Ability to think strategically and devise strategic plans
  • Ability to manage and lead across multiple teams (i.e.. Business, Operation's, Technology and Internal team)
  • Ability to perform data analysis and/or use data analysis to drive opportunities, make decisions and drive business/data rules
100

Supvr, Data Quality Auditing Resume Examples & Samples

  • Provides supervision and monitoring of Data Quality Project Managers/Compliance Auditors to ensure accuracy and consistency in coding/auditing of outpatient, inpatient and SNF encounter data
  • Serves as an expert resource in the areas of coding, documentation, auditing and CMS regulations and compliance issues surrounding requirements associated with encounter data capture
  • Participates with regional and local groups from SCPMG and the Kaiser Foundation Hospital/Health Plan (KFH/HP) to identify and resolve coding and medical record/chart documentation problems relating to Centers for Medicare/MediCaid Services (CMS) requirements for professional services
  • Supports Encounter Information Operations by conducting analyses, synthesizing data to identify trends, generating compliance reports and assisting Data Quality Project Managers/Compliance Auditors and other administrative staff in developing action/corrective plans based on audit findings
  • Conducts ongoing internal audits of staff work to ensure accuracy and consistency of audited clinical data
  • Assists in the development of specialized education and training programs to staff and, as appropriate, to providers on coding conventions and record documentation
  • Assists in the development of communication tools for coding documentation, questions and provider/coder feedback
  • Assists in the development of a Regional Auditing and Monitoring Plan
  • Works with Reporting&Analysis Director to develop implement and monitor departmental policies and procedures that support organizational goals, business objectives and CMS requirements
  • Develops, trains and monitors the productivity and performance of assigned staff
  • In concert with the Reporting&Analysis Director, develops processes to screen interview, hire, train, and maintain competency of department staff
  • Provides ongoing staff development based on identified needs
  • Hires disciplines and evaluates/manages the performance of assigned staff
  • Provide vacation relief for Data Quality Project Managers/Compliance Auditors when necessary
  • Minimum two (2) years of relevant coding experience within the last five (5) years
  • Previous coding supervisory experience preferred
  • BA/BS degree in a relevant discipline such as health information management preferred
  • A clinical and/or quality improvement background preferred
101

Assistant VP-data Quality Resume Examples & Samples

  • The execution and production of Risk Analytics data quality reporting
  • Presenting findings to stakeholders and highlighting any issues or deficiencies
  • Exploring the use of new technologies and systems to upgrade data quality testing and reporting
102

Data Quality Tech Lead Resume Examples & Samples

  • 7 years of experience in providing Business Intelligence solutions
  • 7-8 years of solid Software Development Life Cycle (SDLC) as a designer, developer, and tester
  • 7 years of experience in data assessment, data integration, data cleansing, and data standardization
  • 5 years of experience in performing Extract Transform Load (ETL) processes, implementing real-time solutions using IBM DataStage
  • 4 years of experience in dashboard creation using Qlikview and/or other BI tools
  • Solid knowledge in UNIX, Oracle, Teradata, DB2, SQL Server
  • A quick learner with strong desire to learn, grow, and add value to the organization
  • At least 5 years in a Technical Lead role
  • A team player with excellent communication skills
103

Manager of Data Quality Resume Examples & Samples

  • Lead a team of six data strategists charged with
  • Strong leadership and management skills
  • Proven track record of maximizing capacity through excellent project management skills, process optimization and system design and implementation
  • Detail-oriented problem solver
  • Ability to maintain high standards of quality control
  • Ability to collaborate across departments and scopes of work to ensure optimal experience for data consumers
  • Analytic and data-driven problem solving, including interpretation of data to address complex problems. Proficiency with SAS or comparable coding language preferred
104

Data Quality Developer Resume Examples & Samples

  • Ability to use a number of data quality tools (e.g., Trillium, DataFlux, Informatica Data Quality)
  • Ability to develop reusable Data Quality rules mappings and mapplets
  • Excellent organizational and analytical ability
  • Ability to establish and maintain relationships with personnel at other remote locations
  • Ability to prioritize work activities and meet deadlines with minimal supervision
  • Bachelors or Master's Degree in Information Systems, Computer Engineerng, MIS, Business or Health Administration preferred
  • 5 years working in a data management (e.g., data quality, master data, etc.), data warehouse, business intelligence
  • 5+ years database development experience (e.g., SQL, stored procedures, database administration, etc.); Microsoft and Teradata preferred
  • 3+ years designing and implementing Informatica Data Quality (IDQ)
  • 2+ years with data quality solutions in a real time, highly available environment
  • Hands on development with Informatica PowerCenter preferred
  • Experience with scripting
  • Knowledge of Master Data Management (MDM) concepts and tools preferred
105

Firmwide Data Quality Exception Framework Resume Examples & Samples

  • Ability to adapt skills to work in multiple different languages / technology environments
  • Experience with Databases, Data Modeling and querying (Oracle preferred)
  • Agile development experience a plus
  • Cloud development experience a plus
106

Senior Manager, Data Quality Measurement Resume Examples & Samples

  • Previous experience with business analysis, data analysis and ability to perform database queries
  • Experience in supporting data governance programs including measuring / monitoring data quality, recommending improvements in data management processes and technology solutions to ensure to ensure user/regulatory requirements are met
  • Strong interpersonal, communication (written/verbal), teamwork, coaching and consensus building skills
  • Excellent skills in leadership, project management, time management, analysis & process design, mentoring and coaching
  • Demonstrated experience in taking initiative and exhibit creativity and adaptability in problem solving
107

Bcbs-data Quality Remediation Resume Examples & Samples

  • Maintain and implement business remediation solutions for Credit Risk Portfolio Reporting to ensure continuous BCBS 239 compliance. This will involve driving detailed investigation & documentation
  • Independent creation of central Issues Log, assist in setting up process and co-ordinating across the department. Partnering with others to write documentation on remediations, business glossaries, data dictionaries and data lineage
  • Be a key contact in relation to the ongoing governance and compliance of Portfolio team reports and processes, working closely with all regional teams to ensure overall global reporting compliance
  • Engage and support across various workstreams of the BCBS 239 project, working closely with, for example, JUNO RTB, BA’s and project managers
  • Be involved in the accurate and timely production of key routine and ad hoc reports that will be used for the Regulators, Credit Risk Executives and other key stakeholders (routine and ad hoc) Work closely with regional team members to build and maintain a consistent global Risk Reporting framework, including
  • Review reports and research any significant changes to ensure accuracy of data
  • Liaise with various application system owners to ensure data quality
  • Develop new IT reporting support as necessary
  • Engage with peers across multiple business areas and divisions including Credit Risk IT, Credit Officers,
  • All Barclays colleagues have to ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards
108

Data Quality Administrator Resume Examples & Samples

  • Knowledge of Oracle eBusiness Suite (Release 11i)
  • Knowledge of Oracle Customer Data Model (TCA)
  • Knowledge of Qlikview
  • Intermediate Knowledge of Microsoft Office 2007
  • Intermediate level Knowledge of Excel 2007
  • Strong process and data analysis skills
  • Strong presentation and inter-personal skills
  • Knowledge of Siebel
  • Knowledge of SalesForce.com
109

ITS Data Quality Developer Resume Examples & Samples

  • Develop electronic data visualization reports using charts, graphs, scatterplots, or other for easier consumption of data and drill-down functionality
  • Perform application development to make electronic data reports available in a web-based environment, dynamic & self-serviceable for authorized users
  • Respond to data reporting needs from various stakeholders and partners
  • Communicate effectively, both orally and in writing, to project lead, team members, and with various customers and stakeholders
  • Plans for and develops application code, ensuring that software quality measures comply with industry standards and accepted best practices
  • Designs and implements database objects to support application workflows and storage of data
  • Develops and executes test plans to ensure that functional requirements are met
  • Writes and executes unit tests and other software testing methodologies
  • Troubleshoot and report all defects, bugs, errors, configuration issues, and interoperability flaws
  • 2 years' experience using relational Databases and querying records in SQL
  • 2 years' experience developing web reports using ASP.NET / C#
  • 2 years' experience developing within the toolset provided by Microsoft Visual Studio and Microsoft SQL Server
  • Demonstrated experience in the use of tools and methodologies for data analysis
  • 1 year experience developing N-tier applications employing ADO.NET Entity Framework DAL
  • 2 years' experience managing source control and utilizing the work tracking toolset provided by Microsoft Team Foundation Server (TFS)
  • Be detail-oriented and possess strong problem solving skills
  • Ability to understand and use computational theories and practical skills such as data mining
  • Experience working in a structured team development environment that has a well-defined system lifecycle and mature release process
  • Documentation skills to capture abstract concepts; both written and verbal
  • Interpersonal skills, with the ability to collaborate and effectively engage with individuals at all levels of the organization; both business and technical
  • Knowledge and experience using statistical techniques and analytic models
  • Experience developing data dashboards and/or data reports using data visualization tools (D3.js, Tableau, or others)
  • Experience with HTML, CSS, JavaScript, & JQuery for UI/UX design
  • Debugging, tracing, and otherwise troubleshooting existing code bases
  • Experience working within an Educational Agency at the State or Local level
110

Senior Team Member Data Quality Resume Examples & Samples

  • LOB & Compliance Technology groups (Operate and AD)
  • Reference Data Domains (Security, Client and Pricing data etc.)
  • Partner with various functions (Tech, Ops & Compliance) to document data issues, perform analysis and determine remediation plans
  • Monitor the data quality and completeness of feed/files into and throughout the Compliance environment
  • Knowledge of File handling , DQ Operations
  • Experience in defining/documenting new processes ensuring appropriate Controls framework
111

IT Data Quality Developer Resume Examples & Samples

  • Understand the data quality rules defined by the business / functional teams, and propose the optimization of these rules if applicable. And, then design and develop these rules with IDQ, including thorough unit test planning and performing
  • Work closely with data provisioning team and the project managers / BA’s to facilitate the user acceptance test (UAT)
  • Deploy and configure the developed components at production environment with proper collaboration with the Application Production Support (APS) team
  • Document the developed components and transfer the knowledge to the APS team for daily support, and act as the second and third level support for the components deployed in production
  • Keep the source code in a central repository with proper versioning control
112

Senior Data Quality Test Analyst Resume Examples & Samples

  • Evolving the quality measurement framework that can be applied to matching algorithms
  • Examining and evaluating performance and accuracy of algorithms
  • Executing data tests and performing statistical analysis on the results
  • Building, altering and manipulating datasets to ensure quality coverage
  • Establishing a repeatable process that standardised quality analysis for new algorithms
  • Data quality, hygiene and completeness checking of test data sets
  • Adhering to the data custody process
  • Webservices/SoapUI
  • XML / JSON
  • Statistical analysis skills
  • Data Manipulation
  • Data quality, hygiene and completeness
  • Strong interpersonal and stakeholder skills
  • Experience using defects management tool (e.g. JIRA)
  • Experience with statistical software and scripting languages (R, S-Plus, Julia, Python or similar)
  • Experience with databases (such SQL)
113

Data Quality & Linking Manager Resume Examples & Samples

  • Works with Data Custodians to strategically manage the data asset managed by each Data Steward
  • Manages a team of Data Stewards (SME), assisting them with establishing data quality rules, thresholds and quality reports/dashboards for key Data Assets
  • Driving linking and matching strategy aligned with Equifax’s global linking strategy to maximise the alignment between local data assets
  • Provides support to business to identify critical data elements for projects, perform initial analysis and partner with Data Governance, Data SME, Data Acquisition and Business teams to define and capture metadata, lineage, business rules and transformation logic
  • Manages risk exposure by analysing root cause for issues identified and engage the right parties across the teams with recommended strategies for timely resolution
  • Develops key relationships with Data Custodians, Data SME’s, BTS Architecture and IT Custodians and drive discussions to standardize / rationalize attributes & metrics
  • Collaborates with reporting, analytics and data strategy functions to represent needs of the Data Asset
  • Development of Data Quality processes and tools in support of a broader Single Customer View capability
  • Performs data analysis for various enterprise wide data quality initiatives
  • Positions Data Asset for successful audits and regulatory exams by supporting the implementation of industry guidelines and ‘best practice’ frameworks
  • Ongoing, persistent passion for leveraging data to generate company growth and profits
  • Proven ability to succeed in a culture where success is paramount
  • Excellent presentation, communication and interpersonal skills
  • Self-motivated, proactive and able to own business initiatives and motivate peers in a desired direction to achieve positive outcomes
  • Strong team skills plus a high desire to influence the behaviour of others
  • Exposure to financial analysis and financial modelling tools Illustration of ability to drive results to achieve a win/win solution in a commercial framework
  • Ability to work effectively across organisational units and geographic locations
  • Personal presence and strong influencing skills
  • Mature, well balanced and emotionally resilient
  • Take ownership of Data Quality & Linking for Australia and New Zealand
  • Play a lead role with client consulting
  • Lead and develop a new team in a new structure
  • Play a key point of contact with Technology, Analytics and Products
  • High exposure to the Equifax leadership
  • Global programs
  • Broad range of industry exposure
  • Comprehensive product range
114

Gpc-guat-data Quality Resume Examples & Samples

  • Provide functional test analysis, planning, design, execution and reporting for testing assignments
  • Extensive liaison and direct contact with a diverse range of business and technology functions, both within the bank and with key vendors
  • For the specific testing project, support the Project Test Manager(s) and Functional Test Manager by contributing to the Test Plan(s) for the relevant test phases, the Test Readiness Reviews, test progress reporting, the Test Completion/Summary Reports and Test Defect Reports
  • Prepare where required: Test Cases, Test Scripts, Test Data, Test Coverage analysis for a given testing assignment
  • Work closely with the stakeholders or other groups in preparation and execution of the planned functional testing
  • Play a lead role in the analysis and reporting of test results, working closely with business, technology and support areas to investigate and interpret test findings
  • Assist in the reception and quality assurance of the business requirements, solution design and business process documents individual projects
  • Sound knowledge of Defect Management Process and handling its different phases
  • Able to take Defect and Client calls with quick responsiveness on asked actions
  • Hands on experience on developing help guides/ User Manual/ MIS reports
  • Develop and extend collaborative working relationships with senior clients, technology suppliers and operational support areas in order to quickly understand requirements, resolve problems/issues, suggest solutions and identify areas for service improvement
  • As a member of the Test Work stream, participate in peer reviews of Test Approaches, Test Plans, Test Conditions and Test Scripts as well as contributing to the on-going development of test strategy and policy within the Testing Programme
  • Understand the scope of testing and review of Requirements document and prepare the test plan based on realistic targets
  • Track the schedule and testing progress and be accountable for the tasks and releases
  • Ensure accurate and timely execution of the assigned tasks
  • Work closely with other internal teams on upcoming projects, assignments and initiatives
  • Responsible for writing, reviewing and executing Test Cases and tracking Defects
  • Highlight and track defects and ensure that they are fixed before project implementation
  • 6-8 years of experience in testing lifecycle in Investment Banking domain
  • Minimum 6 years of hands on experience in Securities and Fund Services domain
  • Minimum 6 years of hands on manual functional testing experience in Investment Banking domain
  • Must possess sound knowledge on Trade Processing / Fund Accounting / Pricing / Reconciliation / Corporate Actions / Collateral Management/Transfer Agency across different financial instruments
  • Exposure to global client and understanding of global work culture
  • Ability to work independently, as well as in a team environment, prioritizes multiple tasks and meets strict deadlines
  • Detailed practical experience of the use of HP Quality Centre/ALM
  • Expertise in MS Office application particularly in Excel
  • ISTQB or ISEB testing qualifications preferred
  • Experience in application like MOM / MOTO / Multifond / GTAS / pControl / GSM / Calypso / Protocol / FSR / CADIS is an added advantage
115

Data Quality & Privacy Manager Resume Examples & Samples

  • You have 4+ years’ experience in a data integrity role eg. Business Intelligence, data governance, MDM practice, other
  • You have broad understanding and experience in MDM
  • You have good understanding of influence of data quality on privacy compliance
  • Telecommunications industry experience a bonus – alternatively experience in a highly regulated, large and complex data driven environment within a highly regulated industry
  • You are familiar with IDD
116

Business Lead Data Quality Resume Examples & Samples

  • Develop and support the enterprise data quality strategy
  • Fully understand and communicate/evangelize the business value of data quality within the organization
  • Liaise with business segment stakeholders and project managers to ensure data is managed effectively, quality is at the forefront, and data quality scores and metrics are captured and reported
  • Engage with IT and quality assurance testing areas to develop a combined approach to evolving the data quality environment and best practices including use of interface contracts between source and target applications
  • Own and update data quality policies and procedures
  • Manage and monitor data quality scorecards for enterprise Key Performance Indicators and Critical Data Elements
  • Coordinate, manage, and maintain the Data Quality Requirements document within The Hartford’s system development life cycle (SDLC) process. Consult with Data Stewards on use of this document
  • Consult on data quality issues
  • Act as the business owner for our data quality tools (profiling, monitoring, issue/resolution)
  • Maintain a comprehensive SharePoint site that includes program documentation and materials such as templates, policies, process and procedures, roles and responsibilities
  • Provide training, education, direction, and support on our data quality program and tools
  • A self-motivated, accomplished data quality professional with a minimum of 5 plus years business experience in the field of data quality and an extensive working knowledge of quality assurance methodologies
  • Strategic thinker who is able to combine analytical skills with overall business strategy to drive data quality improvements
  • Strong interpersonal and relationship management skills with an ability to work cross-organizationally to influence others, drive change, implement initiatives, and resolve conflicts
  • Customer driven
  • Demonstrated experience analyzing data (e.g. data profiling, data quality monitoring)
  • Demonstrated experience with data management practices, data warehouse concepts, and data profiling, data quality monitoring, metadata, business intelligence, and other data management tools
  • Minimum of 2 years experience with quality metrics gathering, tracking, and reporting
  • Understanding of the life-cycle of insurance as relates to business partners, financials, policyholders, sales, distribution channels and claim
  • Mental agility to quickly process new information, develop clear solutions to difficult problems and tolerate ambiguity
  • Excellent oral communication and presentation skills and leadership as demonstrated by experience interfacing with senior leaders, making presentations & business cases
  • Excellent written communications skills, developing clear and persuasive analyses and presentations through memos, presentation decks and decision documents
  • Experience with Six Sigma processes and methodologies; Six Sigma certification is a plus
  • Understanding of industry models such as ACORD or IAA is a plus
  • Bachelor’s degree required; Master’s degree in Business Administration (MBA), Data & Analytics, or related field a plus
  • Business Owner Mindset- Operate with keen business knowledge,
117

Data Quality Reviewer Resume Examples & Samples

  • Coordinate the collection, organization and report of information needed for inspection and accreditation purposes. This includes JCAHO, PA Department of Health, trauma surveys and any other regulatory agency reviews
  • Develop and administer clinical, management and research reporting services. Assist with preparation of statistical reports for the Hospital, medical staff and others pertaining to Hospital services utilizing standard and/or ad hoc reports from Hospital or departmental computer systems and external data sources
  • Coordinate the generation of reports and interpret data for internal and external purposes and serves as the Hospital's expert and champion of the Medical Record databases
  • Oversee the integrity of the HC4 database and ensure that the data submission deadlines are met. Correct all errors on a timely basis and re-submits this information to meet reporting deadlines
  • Associates degree in Health Information Management or Business Management
  • One year experience in Health Information Management or Business Management preferred
  • Technology (RHIT) with experience in quantitative and qualitative analysis
  • Detailed understanding of the Hospitals data processing and Medical Record operational systems
  • Ability to perform complex data analysis and deal with high volume, tedious data, and to interpret financial and clinical statistic reports
  • Interpersonal ability and writing skills to regularly interact with the manager and lead staff, physicians, personnel from other Hospital departments and services and representatives of outside agencies
  • Knowledge of personal computers and various software to complete essential and marginal job functions (Word, Excel, SMS, Quadramed, CRIS and Atlas)
118

Data Quality Associate Resume Examples & Samples

  • Provides data entry support to FAS Sales by entering activities, opportunities, and client information into the Client Relationship Management (CRM) system (as conveyed through various channels such as voice mail, email, or through an application such as Console or Sales Desktop)
  • Provides data entry support to other CRM users such as Operations, Web, Marketing, Client Offer, or Advocacy to support strategic data initiatives and ad hoc requests. Examples include adding new contacts to CRM as a result of a conference or event, or cleansing data to support Net Promoter Score (NPS) surveys
  • Researches client data, typically through various portals such as FINRA, company websites, or third party data providers, to enrich existing data and ensure the overall accuracy and completeness of CRM data
  • Builds a deep knowledge of the CRM system and the inter-connecting data elements and hierarchies to support users and consumers; elevates technology issues to FAS Production Support
  • Demonstrated ability to work in a high volume situation with time constraints
  • Ability to interact effectively with all levels and demonstrate tact and diplomacy with respect to verbal and written communications
  • Ability and willingness to effectively work within a team environment
  • Working knowledge of Microsoft Office applications; familiarity with CRM a plus
119

Specialist, Data Quality Resume Examples & Samples

  • Knowledge of Medical Terminology, Anatomy & Physiology required
  • Two (2) years related experience in Health Information Management (HIM) required
  • Ability to read, write and communicate in English required
120

VP, Data Quality Resume Examples & Samples

  • Significant time management, organization, multi-tasking and prioritization skills (prior project management/business analyst experience is a plus but not required)
  • ISDA Master agreement knowledge required, additional master netting agreements (F&O, MSFTA, Securities Lending, Prime Brokerage) is a plus but not required
  • Experience managing large quantities of data
  • 5+ years of global markets related knowledge
  • Strong attention to detail, ability to work effectively under pressure and time constraints
  • Ability to learn quickly and take on new responsibilities
121

Data Quality Developer Resume Examples & Samples

  • 7+ years of Development and Maintenance experience in SqlServer (functions, stored procedures, views, etc.) and SSIS packages
  • 3+ years of recent experience with Equity Financial Market Data (indexes, positions, assets, trades, security masters, pricing, etc.)
  • 3+ years of OO Programing experience (Java or C#); 1+year of experience working with Data Transformation and Loading
  • Comfortable working in an agile / iterative, fast moving environment
  • Experience with Object oriented Programming (C#)
122

Data Quality Senior Resume Examples & Samples

  • Actively contribute to our data management and correction initiatives in SAP Cloud: fix and cleanse data inconsistencies
  • Design, enhance, and automate processes for data management, corrections and reconciliations
  • Implement and document a quality control process to evaluate compliance with data models and taxonomies to ensure cohesion of data across time
  • Manage complaints/escalations, conduct root cause/gap analysis and implement new standards or processes to prevent future data quality issues
  • Work together with our Cloud Development & Operations teams to ensure high data quality
  • Run comprehensive data quality assessments
  • Define processes and quality measures to enable data access and data ingestion/updates
  • Acquire user feedback to create business requirements for future development
  • Detailed knowledge of data management challenges and tools required
  • Demonstrated ability to understand and translate high-level diverse datasets into data management strategies and the underlying structures and processes required
  • Proven technical skills to understand the full cloud stack: from cloud applications to cloud infrastructure
  • Programming skills in an object-oriented language (preferably ABAP Objects) are beneficial
  • Knowledge of ITIL processes is beneficial
  • Knowledge of MS Office program suite is required
  • Interact professionally and effectively with multiple functional areas to design and implement data quality measures
  • Creativity, and a strong capacity for independent thinking is a must have
  • Must thrive in a complex, dynamic environment while adapting to changing priorities
  • Must have excellent written and verbal communication and presentation skills in English, being fluent (oral & written) in German would be beneficial
  • Very good analytical skills combined with the ability to work on complex topics and drive their realization in an efficient way
123

Data Quality Team Leader Resume Examples & Samples

  • Data Quality team will be in charge of improving the quality of the datas and processes used by CRR department
  • Deliverables
  • A member of the data quality team will provide several type of deliverables such as PowerPoint presentation, Excel reports, QAC reports
  • Knowledge of prudential and regulatory environments (Basel III, COREP, FINREP)
  • Knowledge of international accounting framework (IFRS standards)
  • Knowledge of banking environment and products
  • Leadership & communication skills
  • Planning, coordination & organizational skills
  • Resource management skills
  • Ability to adapt to changing regulatory and IFRS environments
  • Experience with Access or Business Objects / Cognos tools is a plus
  • Client Relationship management
  • Relationship & communication skills
  • Fluent in English (minimum B2 Level, CECRL certificate)
  • Knowledge of French is a plus / Willing to learn, to explore new languages (French)
124

Assistant VP Data Quality Rules & Standards Specialist Resume Examples & Samples

  • Support the various stakeholders in the data quality
  • Define the requirements for data quality metrics, dashboards and co-ordinate with IT in development, performing and validating UAT’s
  • In the “Business As Usual” mode, validate the quality rules, dashboards & metrics observations and outcomes. Communicate both to management and core team members
  • Interact with senior business leaders across workstreams to manage the Data Quality process
  • Continually drive improvements to the existing operations processes, reporting and delivery methods through effective usage of data quality processes and framework
  • Work extensively with Issue Management & Remediation team for remediation’s around the identified data quality issues
  • Set, communicate and manage project expectations / defining success criteria with stakeholders
  • Develop and maintain knowledge on the BCBS239 guidance as well as the RaDAR program implementation so as to constantly adjust, as relevant, your activities to the approach promoted by the Group
  • Bachelor degree in Finance or Technology or related field
  • 5+ years’ experience in Project management / Business Analysis in a financial institution
  • Proficient in MS Office applications; MS Project, MS Visio, MS Power Point, MS Excel
  • Communicates effectively with diverse groups and individuals. Clearly conveys information and ideas while listening and responding appropriately to all stakeholders
  • Sense of curiosity, enthusiasm and eagerness to understand business constraints, environment and impact on regulation for the financial industry
  • Excellent organizational skills, with the ability to handle complex projects in a multi-tasking environment and meet deadlines while delivering high quality results
  • 1 year experience in managing Data Quality within a Bank / Financial institution
  • Experience in one or many of these data quality tools and reporting tools/applications; Informatica, Collibra, OBIEE, Tableau, OFSAA etc
125

Year-round Data Quality Intern Resume Examples & Samples

  • Create, maintain and manage daily reports that helps the governance department monitor and track the timing and success rates of the daily data file loading process to the data warehouse for service level accuracy and timeliness
  • Create, maintain and manage a data collection process from the systematic data quality rule processing application in order to track, report and distribute results on data quality to business stakeholders]
  • Communicate with business and data stakeholders regularly to collect data quality issues, track statuses, maintain updates on issue root causes
  • Build charts, pivot tables, Excel analyses and visualizations on the data collected for all facets of data quality processes
  • Maintain reports and any macros or Visual Basic scripting used to aggregate and report outcomes
  • Collect and capture details on issues, issue categories and document and prepare for reporting and scorecards
  • Work with stakeholders to help resolve all internal data exceptions in timely and accurate manner
  • Aggregate details on data quality issues and assimilate into reports for stakeholders and management on regular basis
  • Attend data governance related meetings and assist with meeting minutes and related documentation
  • Assist with creation of data quality and governance related documentation and supportive processes including Excel and PowerPoint reports
  • Provide back up support as needed for other areas and members of the governance team
  • Preferred college student who is majoring in Math/statistics. Otherwise a major of Business, Finance or Philosophy
  • Microsoft Office Products
126

Senior Data Quality Developer Resume Examples & Samples

  • Strong hands-on experience in different programming languages (e.g. JSON, Java, JavaScript, SQL, etc.)
  • Fluent written and spoken English
  • Experience with agile software development processes
  • Know-how of web services and REST interfaces
127

Data Quality Associate Resume Examples & Samples

  • Evaluating and approving data for validity and impact on deliverables
  • Demonstrating a sense of urgency and utilizes resources efficiently
  • Providing guidance in the planning and launching of critical products for the practice
  • BA/BS degree or equivalent
  • Ability to think conceptually and analytically with strong problem solving and decision making skills
  • Understanding of data analysis and interpretation
  • Have a strong sense of commitment to the execution of deadline-driven tasks
  • Knowledge of MS Office (Access, Word, PowerPoint) with excellent expertise in Excel including Pivot Tables, Importing/Exporting, Formulas, etc
  • Experience in data processing environment or retailer/industry knowledge a plus, but not required
128

Junior / Regular Data Quality Developer Resume Examples & Samples

  • Hands on experience with data quality tooling, ideally with Informatica Data Quality
  • Hands-on experience in different programming languages (e.g. JSON, Java, JavaScript, SQL, etc.)
  • Understanding of data quality processes and the financial industry would be beneficial
129

Data Quality Remediation Analyst Resume Examples & Samples

  • As part of the HR Data Office, support the HR Data Quality Lead in identifying the root causes and corresponding solutions for defects in HR data
  • Analyse detailed line-by-line defect data to identify patterns / themes
  • Liaise with HR and Technology Process Owners and HR Operations Teams to research the process steps, guidance and tools associated with defective data
  • Assess the severity of data defects and quantify into problem statements
  • Document findings and solution options including impact to up and downstream processes and data consumers, feasibility and business case rationale
  • Arrange stakeholder decisions on solution options and oversee implementation
  • Report on data defect status to stakeholders
  • Arrange cleansed data for upload to the master system, where required