**Business Title:** Sr. Associate, Data Quality Analyst
**Requisition Number:** 80477 - 31
**Function:** Business Support Services
**Area of Interest:**
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Senior Associate, Data Quality Analyst to join our Data Strategy & Operations organization.
+ Conform to and promote the data quality methodology of repeatable processes, to investigate and resolving data quality exceptions
+ Recommend/ prioritize remediation and assist with root cause analysis to identify quality issues to functions and Business Support Services groups
+ Develop and maintain a common Data Quality (DQ) infrastructure (exception and remediation tracking and workflow); Maintain DQ Standards related to the data quality methodology
+ Participate in project management execution activities and development of artifacts such as the data collection plan, documenting data lineage, QA user story development, logging and assigning QA defects, etc.
+ Liaise with business data stewards to develop quality rules and controls through profiling; participate in the identification and remediation of data quality issues in the functions
+ Execute data profiling, development of rule recommendations, coding and testing of DQ rules & scorecards for unit, QA and UAT Testing
+ Minimum three years of recent experience working with DQ tools and reporting toolsets, including rule development, testing, issue tracking, reporting and DQ dashboard design; experience with Informatica data quality tools (IDQ and BDQ) and Microsoft Power BI visualizations required; experience with SQL Server, Oracle, Hive Structures, Jira preferred; Collibra experience is a plus
+ Bachelor's degree from an accredited college/university or equivalent work experience
+ Familiarity with data stewards, data quality, data dictionaries and data lineage tools such as Collibra or Informatica Enterprise Data Catalog preferred
+ Self-starter with the ability to seek out new problems and develop solutions, while having strong sense of ownership
+ Ability to conduct root cause analysis and communicate recommendation to resolve; switch quickly between details and the big picture
+ Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link ( [ Link removed ] - Click here to apply to Sr. Associate, Data Quality Analyst
contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).
- Acceptance Testing
- Apache Hive
- Business Support Systems
- Data Collection
- Data Dictionary
- Data Management