Description
You will manage the end-to-end data quality lifecycle, from profiling source data through complex transformations to downstream applications.
Responsibilities
- Execute and monitor daily data quality lifecycles to ensure adherence to enterprise standards.
- Profile data for statistical analysis to document control effectiveness and identify improvement opportunities.
- Develop and maintain data quality rules, thresholds, and metadata processes.
- Implement controls and dashboards to mitigate data quality risks.
- Document business rules, corrective action plans, and technical documentation for stakeholders.
Required Skills
- 3+ years of experience writing complex SQL scripts and queries.
- 3+ years of experience working with enterprise-grade databases, specifically SQL Server and Oracle.
- 3+ years of experience creating functional/technical documentation, business glossaries, and diagrams.
- 2+ years of experience developing data quality rules, thresholds, and standard metrics within the last 5 years.
- 2+ years of experience using enterprise data quality tools such as Informatica Data Quality, SAS Data Quality, or Omni-Gen Data Quality within the last 5 years.
- 2+ years of experience implementing data quality best practices and tools within the last 5 years.
- Strong ability to lead discussions with cross-functional teams.
Preferred Skills
- 3+ years of experience with complex Excel functions, including VLOOKUP, Macros, and Pivot Tables.
- 2+ years of experience with the Microsoft SQL Server BI Stack.