Location: Pentagon, Arlington, Virginia   

Clearance: Top Secret / SCI 

Education: Bachelor’s degree in data science, data analytics, computer science, or similar quantitative field; or equivalent experience 

Outcomes: 

The successful candidate is expected to accomplish the following outcomes the first year in the position: 

• Utilizes statistical methods and analytical tools to interpret complex data sets, identifying trends, patterns, and insights that can inform business strategies which leads to positive Government performance feedback. 

Responsibilities: 

The Headquarters United States Space Force (HQ USSF) and the Director of Staff (HQSF/DS) require assistance in organizational planning, implementation, maturation, and strengthening of the HQ Space Force. To further the process of developing HQ USSF, a multi-faceted planning, integration, and management support team continues to implement a multi-phased, (multi-year), plan to transition HQ USSF from an initial operating capacity to full operational capacity. The  

Senior Data Analyst for Congressional Affairs Support will lead these efforts by performing the following functions: 

• Support ongoing USSF Congressional Affairs staffing efforts. 

• Support with supporting ongoing USSF stand-up, implementation planning efforts, support Space Force culture design and enablement related to Congressional Affairs functions. 

• Plan and develop knowledge management (KM) in Palantir Foundry, Microsoft SharePoint, and CRM systems. 

• Develop and maintain Extract Transform Load (ETL) pipelines. 

• Maintain and upkeep KM systems.  

• Develop and maintain dashboards and applications. 

• Create comprehensive reports and visualizations to present findings to senior Department of the Air Force (DAF) officials and other stakeholders, translating complex data into understandable formats. 

• Track key performance indicators to assess the effectiveness of Congressional engagements and business processes, and recommend improvements based on data insights.  

• Support development and implementation of the DAF’s Congressional Engagement Strategy. 

Qualifications: The candidate must have the following qualifications: 

• Top Secret / SCI security clearance bachelor’s degree in data science, data analytics, computer science, or similar quantitative field. 

• 10-15 years of experience with data analysis and data architecture development. 

• Knowledge of DevOps principles, data governance, and data QA/QC. 

• Palantir Foundry experience and/or proficiency with other data operating systems (Snowflake, Databricks) 

• Experience building automated CI/CD ETL pipelines. 

• Skilled in GIS and geospatial data analysis. 

• Proficiency with SQL, Python (Pandas, NumPy, PySpark). 

• LLM integration (embedding, RAG) experience 

• Experience with Power BI and other data visualization tools. 

• Analytical abilities to interpret data and derive actionable insights, along with attention to detail and problem-solving skills. 

Highly Desired Requirements: Experience leveraging cloud-based databasing, ETL, and data visualization solutions to support data-driven decision making.  

• Degree in data science, data analytics, computer science, or similar quantitative field. 

• Palantir Foundry certification. 

• Knowledge of MLOps principles. 

• Proficiency with supervised and unsupervised ML (scikit-learn, PyTorch). 

• Typescript proficiency 

• Proven experience developing well-designed reports and briefings for executive leadership. 

• Legislative/Congressional affairs experience.