Data Analyst

9th Way Insignia is a service-disabled, veteran-owned small business bringing transformative technology to our government customers so they can achieve their missions. Our specialties include cybersecurity, cloud modernization, software development, data analytics, enterprise architecture, enterprise IT, analytics, process automation, and artificial intelligence. Learn more about 9th Way Insignia at https://9thwayinsignia.com/.

Application password: Niner

9th Way Insignia is seeking a Data Analyst to support a government customer in Washington, DC. The Data Analyst will support enterprise data modernization, reporting, analytics, and process improvement initiatives across multiple business lines. This position aligns to the Engineer 2 professional level within 9th Way Insignia’s career families and is expected to operate as a technically strong contributor who can work with limited direction in a production environment.

Professional Level Information

An Engineer, 2 has a good understanding of the software development life cycle and can take on work without much direction majority of the time. Performs multiple engineering-related tasks in various assignments within the project and firm. An Engineer, 2 has broad knowledge of engineering procedures and assists in the resolution of complex problems. An Engineer, 2 has strong technical skills and background, a knack for learning new technologies, and a blend of good problem-solving and innovation needed to resolve a wide variety of technical production challenges.

Functional Job (LCAT) Information

The Data Analyst is responsible for analyzing complex datasets, identifying trends, gaps, anomalies, and structural risks, and translating business needs into structured data logic that supports reporting, analytics, automation, and operational decision-making. This role serves as a key bridge between business stakeholders and technical delivery teams by helping validate requirements, assess data integrity, and ensure business rules are correctly understood and implemented. The Data Analyst supports enterprise priorities across multiple business lines and contributes directly to more predictable, higher-quality delivery outcomes.

The Data Analyst is expected to work closely with ETL Developers, Power BI Developers, Power Apps Developers, Technical Project Managers, testers, technical writers, and Government stakeholders to refine requirements, analyze data sources, validate outputs, and identify corrective actions before deployment. The role also contributes to ROM development, work breakdown understanding, documentation of risks and dependencies, and improved planning visibility to support governance and decision-making.

Responsibilities

• Be available on Government site in Washington, DC during normal hours of operation.
• Analyze large and complex datasets to identify trends, gaps, anomalies, integrity issues, and structural risks affecting reporting, analytics, and operational processes.
• Assess new and existing data sources to determine data availability, quality, completeness, and suitability for business and technical use.
• Validate business rule implementation and confirm that technical solutions align with customer requirements and intended business outcomes.
• Translate ambiguous business needs into structured data logic, requirements clarifications, and analysis products that support technical implementation.
• Work closely with ETL developers, reporting developers, and other team members to identify data issues and provide corrective guidance.
• Support backlog refinement, requirements elaboration, sprint planning, sprint demonstrations, and incremental delivery in an agile environment.
• Perform data validation, reconciliation, and quality checks on outputs supporting dashboards, reports, ad hoc queries, and automated processes.
• Help document assumptions, risks, dependencies, and potential efficiencies to support ROM development, governance discussions, and planning inputs.
• Develop and maintain analysis artifacts, data definitions, validation documentation, and supporting operational documentation as part of normal delivery activities.
• Support multiple business lines and enterprise priorities as required.
• Other responsibilities as assigned.

Requirements

• Bachelor’s degree in Computer Science , Information Systems, Data Analytics, Mathematics, Statistics, Engineering, or other technical discipline . Additional relevant experience may be substituted for a degree consistent with contract requirements.
• Minimum 2 years of relevant experience in data analysis, business intelligence, reporting analysis, data validation, or related technical delivery roles. Additional 8 years of experience in lieu of degree.
• Demonstrated experience analyzing large datasets and identifying trends, gaps, anomalies, and structural issues.
• Experience validating business rules, data quality, and integrity in support of production reporting, a…