[Hiring] Senior Data Quality/Governance Analyst @DivIHN Integration

Role Description

The Senior Data Quality/Governance Analyst will work remotely with a requirement for on-site presence in Chicago, IL for the first two days for onboarding. The role involves architecting and implementing a Data Governance and Quality program, focusing on:

• Governance and Data Quality analysis:
• Gathering requirements, defining the operating model, and writing a procurement-ready SOW.
• Hands-on implementation:
• Writing data quality and conformed dimension analysis scripts.
• Declarative quality rules in pipelines and anomaly detection.
• Schema evolution handling.
• Quality scorecards and enforcement built into ETL/ELT.
• Publishing scripts and results in a version-controlled repository with a user-facing interface.

The work aims to establish a governance foundation supported by a data literacy program.

Qualifications

• 5+ years of combined business analysis and hands-on data work on data governance, data quality, or enterprise data programs.
• Experience with Microsoft Purview: source registration and scanning, collections, glossary, classifications, and lineage.
• Strong SQL and Python/PySpark skills for data profiling and quality analysis.
• Experience with dimensional modeling and analyzing conformed dimensions across sources.
• Experience with ADO or Git-based version control and scheduling scripts in Databricks, Fabric, or Data Factory.
• Experience building dashboards (either Power BI or Tableau).
• Has written requirements packages and SOWs for technology procurement.
• Working knowledge of DAMA-DMBOK or a similar framework.

Requirements

• Hold discovery sessions with stakeholders to record data ownership, quality issues, and governance gaps.
• Write business, functional, and non-functional requirements for various workflows.
• Draft the Governance SOW including scope, deliverables, acceptance criteria, milestones, and assumptions.
• Define the operating model, including roles of data owners and stewards.
• Build a requirements traceability matrix linking requirements to strategic objectives.
• Register and scan priority data sources in Microsoft Purview.
• Set up Purview collections structure and domains, and assign permissions.
• Build and fill in the business glossary and link glossary terms to technical assets.
• Configure classifications and sensitivity labels.
• Validate and add to lineage for priority data flows.
• Set up Purview Data Quality rules and scoring for priority assets.
• Identify conformed dimensions and develop scripts for data quality checks.
• Write reusable SQL and Python/PySpark scripts for data profiling.
• Record issues found and work with stewards on fixing them.
• Set up a single version-controlled repository for all data quality scripts and documentation.
• Automate scripts to run on a schedule and store results in a central data quality results store.
• Deliver a user-facing interface over the repository and its results.
• Document how stewards and agency teams add new rules and assets.

Benefits

• Remote work flexibility.
• Cost reimbursement for on-site onboarding.