*Candidates must be local to the Washington D.C. metro area and possess work authorization which does not require sponsorship by the employer for a visa.
We are seeking an analytical and detail-oriented Business/Data Analyst to join our team, focusing specifically on data access governance, permissible use, and risk remediation. This role is critical in ensuring our data usage practices comply with both internal policies and external regulatory requirements, providing essential analytical support for major audits, and helping to shape the future of our data governance strategy. Key Responsibilities
The successful candidate will perform functions that bridge data analysis, risk management, and compliance:
- Data Risk Analysis: Analyze data access, entitlements, and usage patterns to proactively identify security and compliance risks and areas requiring remediation.
- Audit & Compliance Support: Provide comprehensive support, data analysis, and documentation/materials throughout the Permissible Purpose Audit and other compliance reviews.
- Governance Design: Assist in designing and documenting new controls, monitoring approaches, and foundational data usage governance processes.
- Use Case Mapping: Map internal datasets to specific business use cases to clearly clarify and define permissible versus impermissible data usage scenarios.
- Reporting & Communication: Produce clear, structured summaries, visuals (dashboards, charts), and actionable recommendations for audit teams and leadership.
- Strategic Roadmapping: Provide crucial analytical input into the Permissible Use CapabilityRoadmap and identify existing capability gaps in our data environment.
Required Experience & Skills- 3-6+ years of experience in business analysis, data analysis, data governance, or risk-related roles.
- Proven ability to explore, interpret, and manipulate large datasets using tools like SQL, Python, and data visualization platforms (e.g., Quicksight/Tableau).
- Demonstrated ability to create comprehensive technical and process documentation, including detailed process flows, control descriptions, technical diagrams, and structured write-ups.
- Ability to structure and tackle ambiguous analytical problems, define clear methodologies, and communicate complex findings clearly and concisely.
- Comfortable working independently while collaborating closely with a senior program lead and cross-functional stakeholders across technology, legal, and business lines.
- Experience leveraging AI tools (Gemini, Claude, ChatGPT)
Preferred Qualifications - Previous exposure to identity/access governance (IAG) or experience managing data in highly regulated environments.
- Experience in financial services, data governance, or compliance-adjacent roles.
- Familiarity with control design principles, formal risk identification methodologies, or direct
experience supporting external/internal audits.
