Data Analyst

**Applicants for this role can be based in the Washington D.C./Metro or Richmond, VA Areas.
About Infinitive
Infinitive is a data and AI consultancy that enables its clients to modernize and operationalize their data to create lasting and substantial value. We bring deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable measurable value.
Infinitive has been named Best Small Firms to Work For by Consulting Magazine 8 times, most recently in 2025. Infinitive has also been named a Washington Post Top Workplace, Washington Business Journal Best Places to Work, and Virginia Business Best Places to Work.
About the Role
 Our client is undertaking a significant transformation of their data ecosystem, expanding their data management operations from a relatively small number of core datasets to several thousand. We are seeking multiple highly skilled Data Analysts to join our team to help drive this evolution.
In this role, you will configure and use enterprise tools and controls to ensure our client’s data estate is secure, reliable, and transparent. You will be embedded directly with the client team, serving as the critical link between raw data assets and enterprise reliability standards.
Key Responsibilities
As a Data Analyst, you will be responsible for the end-to-end execution of data integrity workflows across the organization:

• Sensitive Data Management: Configure and run automated scans using enterprise tools, and support remediation of sensitive data findings.
• Data Quality & Reliability: Define and execute data quality checks, validate results, and help drive issue resolution.
• Lineage Mapping: Document data lineage and key dependencies to improve transparency into data flow and provenance.
• Operational Scaling: Help transition manual workflows into repeatable, high-throughput processes to support the client’s 2026 growth targets.
• Cross-Functional Collaboration: Partner with engineering, privacy, and governance teams to meet data standards while maintaining development velocity.

Technical Skills
Must-Have:

• Proficiency in data lineage mapping and documentation.
• Strong background in data quality remediation.
• Experience with sensitive data scanning and protection protocols.
• Experience supporting data operations across many datasets, domains, or teams.

Good-to-Have:

• Familiarity with Databricks and Unity Catalog.
• Direct experience with Data Governance frameworks or maintaining Data Catalogs.
• Knowledge of Data Observability tooling.
• Previous experience in large-scale data migration or integration programs

Why This Role?
 This role sits at the center of a major scale-up. You will help grow data management from a small set of core datasets to several thousand over the next year, shaping how the ecosystem operates as it expands.