Senior Data Analyst

• Lead advanced statistical analyses of investigative outcomes, asset seizures/forfeitures, and performance metrics.
• Develop, maintain, and enhance automated Tableau dashboards; evaluate and, if directed, migrate dashboards to alternative technologies.
• Build and maintain predictive models for investigative prioritization, monitoring, data-based decision making, and case success probability assessment.
• Conduct network analysis to identify high-value targets, facilitators, and financial flows within criminal enterprises.
• Develop Extract-Transform-Load (ETL) pipelines to ensure regular ingestion and transformation of interagency datasets from agency MIS and partner law enforcement systems.
• Produce consolidated program performance reports, quarterly data packages, and ad-hoc statistical summaries for federal leadership and oversight bodies, and partner agencies.
• Develop new metrics for impact assessment and return-on-investment analysis.
• Analyze program metrics to assess operational impact, identify resource allocation opportunities, and recommend adjustments to improve efficiency.
• Conduct quarterly MIS data quality audits, develop audit dashboards, and propose remediation strategies.
• Provide interactive dashboards and visual analytics tailored to executive and operational audiences.
• Support operational briefings with analytical products and clear, actionable summaries drawn from complex datasets.
• Document schema, business rules, and transformation logic to ensure transparency and reproducibility.
• Identify and propose system improvements, automation opportunities, and workflow optimizations.
• Research and respond to questions on program issues using advanced statistical techniques and industry-standard research methodology.
• Mentor and provide technical guidance to junior analysts on the MIS team.
• Support transition management activities (transition-in and transition-out), including knowledge capture and transfer of all operational processes, documentation, and system design information.

Do you have experience in Team management?, Do you have a Bachelor’s degree?, * Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a closely related field;Master’sdegree preferred.

• Minimum 5 years of applied experience in data science, advanced analytics, or a closely related role, with at least 2 years in a senior or lead capacity.
• Expertproficiencyin Python, R, and SQL for data engineering, statistical modeling, and analytical product development.
• Advanced experience with Tableau or equivalent business intelligence platforms, including dashboard design, automation, and administration.
• Demonstrated experience designing and implementing predictive models, network analysis methods, and statistical evaluation frameworks.
• Experience developing and managing ETL pipelines across heterogeneous data sources.
• Strong knowledge of data governance principles, data quality assurance methodologies, and documentation standards.
• Proven ability to communicate complex analytical findings clearly to both technical and non-technical audiences, including senior leadership.
• Experience managing or mentoring analytical staff in a project or team environment.
• Active Secret security clearance (minimum); Top Secret/SCI eligibilityrequiredfor designated positions.

Desired Knowledge/Skills

• Experience supporting federal law enforcement, Homeland Security, or intelligence community analytics programs.
• Familiarity with agency orpartnerlaw enforcement data systems and investigative performance frameworks.
• Experience with alternative dashboard technologies (e.g., Power BI, Qlik, Looker) and platform migration projects.
• Background in return-on-investment analysis and operational impact assessment within a law enforcement or national security context.
• Experience with MIS data environments, interagency data integration, and federal reporting requirements.
• Knowledge of network analysis tools and graph-based analytical methods.

Salary will commensurate with experience.