Data Governance Analyst
Listed on 2025-12-02
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IT/Tech
Data Analyst, IT Business Analyst
This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$30.00/hr - $60.00/hr
Title: Data Governance Analyst
Location: St. Louis Park, MN
Employment Type: 6-12 month Contract + Extensions / Conversion
Day to Day: Our client is building a scalable data governance framework to support enterprise transformation and AI readiness. We’re seeking a hands‑on Data Governance Analyst to partner with our governance lead and help operationalize governance across systems, starting with Salesforce. The Data Governance Analyst will support enterprise‑wide data governance initiatives by translating strategy into execution. This role focuses on profiling, mapping, and monitoring data quality across critical domains, collaborating with data stewards, owners, and technical teams to ensure trusted data products and actionable insights.
Required Skills & Tools
- Experience with Informatica IDMC (strongly preferred) second preference Alation, Collibra, and/or Microsoft Purview
- Experience in Data Governance
- Strong communication and stakeholder engagement skills.
- Ability to work independently and connect dots across domains.
- Familiarity with Power BI or Tableau for reporting.
Plusses:
- Empathetic and proactive communicator.
- Comfortable navigating ambiguity and change.
- Detail‑oriented with a systems‑thinking mindset.
- Bonus:
Python/SQL for data profiling (not required).
Key Responsibilities
- Data Profiling & Quality Assessment:
Evaluate datasets for accuracy, completeness, consistency, and timeliness. Identify anomalies and support remediation efforts. - Data Mapping & Integration:
Define transformation logic between source and target systems. Translate business requirements into technical mapping rules. - Issue Management & Root Cause Analysis:
Partner with data stewards to resolve data integrity issues. Diagnose root causes and propose scalable solutions. - Monitoring & Reporting:
Develop data health scorecards and governance KPIs. Align metrics with business objectives and data standards. - Metadata & Documentation:
Maintain metadata, data dictionaries, and lineage documentation in collaboration with data owners and stewards.
- Mid‑Senior level
- Contract
- Information Technology
- Manufacturing
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