

Insight Global
Data Governance Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Governance Analyst in St. Louis Park, MN, on a 6-12 month contract at $30-60/hr. Requires experience with Informatica IDMC, data profiling, mapping, and strong communication skills. Familiarity with Power BI or Tableau is essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
480
-
ποΈ - Date
October 14, 2025
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
St Louis Park, MN
-
π§ - Skills detailed
#Monitoring #SQL (Structured Query Language) #Data Governance #Scala #Data Quality #Documentation #Informatica #AI (Artificial Intelligence) #Data Mapping #Data Integrity #BI (Business Intelligence) #Datasets #Python #Strategy #Microsoft Power BI #Metadata #Data Profiling #"ETL (Extract #Transform #Load)" #Tableau
Role description
Title: Data Governance Analyst
Location: St. Louis Park, MN
Employment Type: 6-12 month Contract + Extensions / Conversion
Salary: 30-60/hr
Day to Day: Our client is building a scalable data governance framework to support enterprise transformation and AI readiness. Weβre 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
β’ Proven experience with Informatica IDMC (required).
β’ Strong communication and stakeholder engagement skills.
β’ Ability to work independently and connect dots across domains.
β’ Familiarity with Power BI or Tableau for reporting.
Plusses:
β’ Empathetic and proactive communicator.
β’ Comfortable navigating ambiguity and change.
β’ Detail-oriented with a systems-thinking mindset.
β’ Bonus: Python/SQL for data profiling (not required).
Key Responsibilities
β’ Data Profiling & Quality Assessment Evaluate datasets for accuracy, completeness, consistency, and timeliness. Identify anomalies and support remediation efforts.
β’ Data Mapping & Integration Define transformation logic between source and target systems. Translate business requirements into technical mapping rules.
β’ Issue Management & Root Cause Analysis Partner with data stewards to resolve data integrity issues. Diagnose root causes and propose scalable solutions.
β’ Monitoring & Reporting Develop data health scorecards and governance KPIs. Align metrics with business objectives and data standards.
β’ Metadata & Documentation Maintain metadata, data dictionaries, and lineage documentation in collaboration with data owners and stewards.
Title: Data Governance Analyst
Location: St. Louis Park, MN
Employment Type: 6-12 month Contract + Extensions / Conversion
Salary: 30-60/hr
Day to Day: Our client is building a scalable data governance framework to support enterprise transformation and AI readiness. Weβre 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
β’ Proven experience with Informatica IDMC (required).
β’ Strong communication and stakeholder engagement skills.
β’ Ability to work independently and connect dots across domains.
β’ Familiarity with Power BI or Tableau for reporting.
Plusses:
β’ Empathetic and proactive communicator.
β’ Comfortable navigating ambiguity and change.
β’ Detail-oriented with a systems-thinking mindset.
β’ Bonus: Python/SQL for data profiling (not required).
Key Responsibilities
β’ Data Profiling & Quality Assessment Evaluate datasets for accuracy, completeness, consistency, and timeliness. Identify anomalies and support remediation efforts.
β’ Data Mapping & Integration Define transformation logic between source and target systems. Translate business requirements into technical mapping rules.
β’ Issue Management & Root Cause Analysis Partner with data stewards to resolve data integrity issues. Diagnose root causes and propose scalable solutions.
β’ Monitoring & Reporting Develop data health scorecards and governance KPIs. Align metrics with business objectives and data standards.
β’ Metadata & Documentation Maintain metadata, data dictionaries, and lineage documentation in collaboration with data owners and stewards.