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AITHERAS, LLC

Performance/Data Analyst III

Reposted 7 Days Ago
Remote
Hiring Remotely in DC, USA
Senior level
Remote
Hiring Remotely in DC, USA
Senior level
The Performance/Data Analyst III leads advanced analytics, machine learning modeling, ETL development, and reporting for DOJ operational and strategic needs.
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Performance/Data Analyst III

Location: Washington, DC / DOJ Facilities / JMD OCIO / NCC
Clearance / Background: U.S. Citizen required; active Secret clearance minimum; Top Secret/SCI eligibility strongly preferred
Experience Level: 6–10+ years

Role Summary

The Performance/Data Analyst III serves as a senior data science and analytics professional supporting DOJ JMD/OCIO and HSTF.

This role leads advanced analytics, machine learning modeling, network analysis, ETL development, Tableau dashboard enhancement, MIS data governance, and executive-level reporting.

Key Responsibilities
  • Lead advanced analytics, statistical modeling, machine learning, and network analysis for HSTF operational and strategic use cases.
  • Integrate, clean, and merge data from DOJ MIS, FBI, DEA, HSI, ATF, IRS-CI, USAO, and other partner systems.
  • Develop and maintain ETL pipelines for recurring ingestion and transformation of interagency datasets.
  • Build predictive models for investigative prioritization, case success probability, resource allocation, and operational impact.
  • Maintain, enhance, and potentially migrate automated Tableau dashboards.
  • Produce executive, operational, congressional, and interagency performance reports.
  • Conduct quarterly MIS data quality audits and develop audit dashboards with remediation recommendations.
  • Document schemas, data dictionaries, business rules, transformation logic, and analytical methodologies.
  • Identify automation opportunities, workflow optimizations, and reporting improvements.
  • Support transition-in and transition-out activities, preserving institutional knowledge and continuity of operations.
Required Qualifications
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Analytics, Mathematics, Information Systems, or a related field.
  • 6+ years of applied data science, advanced analytics, BI, or performance measurement experience.
  • Active Secret clearance; ability to obtain or maintain Top Secret/SCI eligibility where required.
  • Expert-level SQL skills for extraction, transformation, analysis, and optimization.
  • Strong Python and/or R experience for statistical modeling, data processing, and automation.
  • Tableau dashboard development and performance reporting experience.
  • Experience with machine learning, predictive modeling, statistical analysis, or network analysis.
  • Experience integrating complex, multi-source, structured datasets.
  • Experience with law enforcement, intelligence, investigations, asset forfeiture, financial crimes, or federal operational data.
  • Strong understanding of data governance, quality assurance, privacy, and secure handling of sensitive information.
Preferred Qualifications
  • Active Top Secret, TS/SCI, or SCI eligibility.
  • Prior DOJ, DHS, FBI, DEA, ATF, HSI, IRS-CI, USAO, or federal law enforcement analytics experience.
  • Experience with criminal network analysis, link analysis, target prioritization, or financial flow analysis.
  • Experience with audit readiness, reconciliation, financial management reporting, or asset forfeiture programs.
  • Experience designing enterprise dashboards for executive and operational audiences.
  • Familiarity with NIST, FISMA, CUI, PII, DOJ privacy/security policies, and federal data standards.
  • Experience with Tableau Server, Power BI, SAS, Alteryx, Palantir, i2 Analyst’s Notebook, Neo4j, ArcGIS, or cloud analytics platforms.
Tools / Technologies

Python, R, SQL, Tableau, Excel, DOJ MIS, ETL pipelines, predictive models, machine learning libraries, statistical analysis tools, dashboards, data dictionaries, data governance tools, Tableau Server, Power BI, SAS, Alteryx, network analysis tools, law enforcement datasets, and financial reporting systems.

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