Remote Data Governance & Analytics Specialist

Old Dominion University; Virginia, Northern (MN, KY); Hybrid; USD 55,000 - 60,000; Full time

Job summary

Old Dominion University is seeking a Data Governance & Analytics Specialist to drive the enterprise data governance program via policy implementation and hands-on data analysis.

The role bridges technology infrastructure and business requirements, requiring you to write queries, profile datasets, and use analytical tools to investigate data quality, map data lineage, and ensure corporate data assets are trusted and compliant.

Qualifications

• Intermediate to advanced SQL skills for data profiling, ad-hoc querying, and database exploration (Snowflake, Databricks, SQL Server).
• Proficiency in building data quality dashboards and operational reports using Power BI, Tableau, or Looker.
• Solid grasp of data warehousing principles and data modeling concepts (conceptual, logical, physical).
• Strong problem-solving abilities to trace and analyze data issues across complex system architectures.
• Ability to translate complex data profiles and technical structures into clear business language.
• High precision in writing technical documentation, analyzing data outputs, and drafting data policies.

Responsibilities

• Write queries, profile datasets, and investigate data quality issues to ensure trusted, secure, and compliant data assets.
• Collaborate with stakeholders to map data lineage and align data governance with business requirements.
• Develop and maintain data policies, documentation, and governance artifacts.

Skills

SQL

Data quality dashboards

Data profiling

Data warehousing concepts

Data modeling concepts

Business language translation

Tools

Power BI

Tableau

Looker

Job description

Old Dominion University is seeking a Data Governance & Analytics Specialist to drive the enterprise data governance program via policy implementation and hands-on data analysis.

The role bridges technology infrastructure and business requirements, requiring you to write queries, profile datasets, and use analytical tools to investigate data quality, map data lineage, and ensure corporate data assets are trusted and compliant.