Data Governance Analyst

We’re looking for a Data Governance Analyst to clean, standardize, structure, and model data across the business. This is a hands-on role focused on supporting a reliable, scalable data foundation and semantic layer that supports reporting, decision-making, and AI tools. You’ll work closely with technical and business teams to help ensure data from multiple sources is consistent, structured, and usable — not just documented.

Responsibilities:

Build & Own Data Quality & Standardization, including the Semantic Layer

• Help build and maintain business-ready data models (fact/dimension tables, curated views)
• Support the standardization of key metrics (sales, traffic, inventory, marketing performance)
• Help maintain consistent reporting definitions and aligned datasets across teams
• Identify and help resolve inconsistencies across datasets (definitions, formats, hierarchies, naming conventions)

Support Data Structure in Microsoft Fabric

• Help organize data into clear layers (raw → clean → business-ready)
• Support the transformation of raw data into analysis-ready datasets
• Help improve existing tables for usability, performance, and scalability
• Support consistent naming conventions, schemas, and data organization

Enable Self-Serve & AI Use Cases

• Help structure data so it can be reliably queried by BI tools and AI systems like Claude
• Help build datasets that business users can explore without relying on custom SQL
• Work with teams to improve how AI tools are supported through better data structure and usability

Partner on Data Systems

• Work closely with the MarTech Analyst and business stakeholders to support how data is modeled and exposed
• Help bring structure to new datasets across finance, operations, and production
• Support systems that rely on structured product and catalog data (e.g., Salsify) and help maintain consistency across platforms
• Support reporting by ensuring upstream data is clean, consistent, and reusable (not duplicated across dashboards)

Qualifications:

• Strong SQL skills and 2–4 years of experience working with data or analytics systems
• Experience supporting data modeling work (fact/dimension schemas, semantic layers, or analytics engineering)
• Experience with modern data platforms (Fabric, BigQuery, Snowflake, etc.)
• Experience supporting BI tools
• Focused on making data usable and understandable — not just documenting it
• Comfortable working with incomplete or inconsistent data
• Comfortable taking loosely defined problems and helping create structure
• Thoughtful about naming conventions, schemas, and long-term data consistency
• Practical about AI - comfortable using tools like Claude and thinking about how data needs to be structured for them to work well
• Proactive, organized, and hands-on
• Comfortable adapting to evolving priorities and business needs
• Comfortable collaborating across technical and business teams

Annual salary range starting at $85,000+

The disclosed salary range is commensurate with experience and does not reflect the total compensation package. Our associates have access to other valuable benefits that our Human Resources team is happy to share with candidates during the interview process.