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Data Governance Analyst
- Insight Global (St. Louis Park, MN)
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Job Description
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.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
Proven experience with Informatica IDMC (required).
Strong communication and stakeholder engagement skills.
Ability to work independently and connect dots across domains.
Familiarity with Power BI or Tableau for reporting. Empathetic and proactive communicator.
Comfortable navigating ambiguity and change.
Detail-oriented with a systems-thinking mindset.
Bonus: Python/SQL for data profiling (not required).
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