MDM Data Quality Analyst- W2
Job Description
Job DescriptionWe are seeking an experienced MDM Data Quality Analyst to support Master Data Management services for the Health and Human Services Innovation Incubator (HHSi2) project. This role will focus on data quality analysis, data profiling, business and technical requirements, testing, validation, and data governance activities supporting a unified cross-agency client/member view across State programs.
The selected candidate will work under the guidance of the MDM Technical Lead to perform data analysis, data quality assessments, testing, requirements gathering, user acceptance testing (UAT) support, SQL analysis, and validation activities to ensure reliable and accurate MDM operations.
MDM Services Summary
Partner with the MDM Statewide initiative supporting and combining different agency data sources.
Integrate State agency data to create a holistic view of the clients that the State serves and to administer all State agency programs more effectively and efficiently.
Provide advanced analytics, data quality analysis, business/data analysis, and MDM data specialists in support of the Illinois Health and Human Services Incubator (HHSi2) project.
Partner with the State to develop custom dashboards using data as part of the HHSi2 project.
Provide technical expertise using Informatica MDM and related integration tools to support MDM data processing, data quality, and downstream system(s) needs.
Support data quality strategy while allowing for data quality analysis and other data governance activities.
Maintain data quality by using timely and consistent processes and evaluating data quality with the State.
Leverage established data governance practices and work with State staff and other vendors/partners to improve and validate data consistency and integrity.
Provide a structure to support business and data analysis using industry standard practices.
Data analysis to support policy development and program evaluation.
Identify opportunities/use-cases that help translate data analysis into cost savings and improved outcomes in programs and service areas.