Senior Data Analyst

Senior Data Analyst

We are seeking a Senior Data Analyst to join a team of qualified, diverse professionals supporting a high-visibility modernization effort. The ideal candidate will play a critical role in executing complex data migration activities, including data profiling, data quality assessment, and validation of transformation logic across legacy and modern environments. This position directly supports major initiatives, ensuring that migrated data is accurate, reliable, and aligned with business and regulatory requirements.

Key Responsibilities

• Performing detailed data analysis in support of migration execution, including data profiling of legacy data sources.
• Validating data mapping documents and ensuring alignment with defined migration rules and business requirements.
• Reconciling migrated data across source and target systems to confirm completeness, accuracy, and compliance.
• Analyzing data quality reports, identifying anomalies or trends, and collaborating with technical teams to support root cause analysis of data migration discrepancies.
• Documenting data lineage, transformation logic, and data flows to support transparency, auditability, and traceability throughout the migration lifecycle.
• Supporting the development and refinement of data quality rules, metrics, and dashboards.
• Coordinating with data engineers, solution architects, and business analysts to ensure migration artifacts remain current, accurate, and consistent.
• Contributing analytical insights that guide decision-making for remediation activities and system improvements.
• Ensuring adherence to standards, regulatory requirements, and program level data governance expectations.
• Participating in Agile ceremonies, backlog refinement, and sprint planning activities related to data migration tasks.
• Must be eligible to obtain and maintain a Public Trust clearance.

Required Qualifications

Education & Experience:

• 5 years of experience with a BS/BA degree; 3 years with an MS/MA degree; or 0 years with a PhD.
• Demonstrated experience performing data analysis within large-scale data migration or modernization programs.

Technical Skills & Competencies:

• Strong skills in data profiling, metadata analysis, and validation of ETL or data transformation specifications.
• Proficiency with SQL and hands-on experience working with relational databases, legacy data sources, and structured/unstructured datasets.
• Experience analyzing data quality results and supporting issue triage, anomaly detection, and root cause analysis.
• Ability to document data lineage, data flows, and analytical findings in clear, accurate, and technically sound formats.
• Ability to communicate effectively via multiple channels (verbal and written) with technical and non-technical stakeholders.
• Ability to work within Agile environments and collaborate in cross-functional teams.
• Must be eligible to obtain and maintain a Public Trust clearance.

Preferred Qualifications

• Experience supporting CMS, federal healthcare or other large government programs.
• Experience with data migration to cloud or hybrid environments (e.g., AWS, Azure).
• Familiarity with industry data governance frameworks and data quality standards.
• Experience with data quality tools, ETL tools, or visualization platforms (e.g., Informatica, Talend, Tableau, Power BI).
• Knowledge of legacy system structures, mainframe data formats, or enterprise modernization initiatives.
• Certifications related to data analytics, cloud platforms, or data management.
• Experience supporting healthcare-related data, including an understanding of regulatory requirements (e.g., HIPAA).
• Active or prior Public Trust, or other security clearance.