Mid-Level Data Analyst TS​/SCI-Cleared

About the job Mid-Level Data Analyst TS/SCI-Cleared

We are seeking an experienced Mid‑Level Data Analyst to join our team and provide advanced data analytics and predictive strategic workforce planning support to our intel customer. As a key member of our team, you will be responsible for developing standardized data operating procedures, creating intuitive web‑based capabilities and reporting tools, and ensuring consistent application across all career fields (CF).

Key Responsibilities:

• Develop mechanisms for self‑service, on‑demand options for customers, such as dashboards or self‑service querying capabilities, to provide comprehensive workforce statistics.
• Create and maintain a tool to track customer requests and usage of dashboards and on‑demand services.
• Compile and maintain personnel statistics to provide historical reports on the Agency’s workforce, including modernizing and centralizing self‑service access to HR data.
• Conduct workforce analysis to support the Senior Executive Management Office (SEMO) and provide ad hoc analysis and reports to Agency leadership.
• Operate and maintain an Agency HR data dictionary to standardize data definitions and calculations.
• Gather key performance indicators (KPIs) and milestones for HR functional areas and integrate requirements from Agency leadership and mission owners.

Required Skills/

Experience:

• Advanced knowledge of Excel, including formulas and pivot tables.
• Proficiency in SQL and Python for querying tables and analyzing results.
• 5-7 years of experience in data analyst roles.
• Experience with Tableau preferred.
• Bachelor’s Degree in analytics or related field.

Desired Skills/

Experience:

• Masters Degree.
• Experience in applying analytics best practices to human capital problems.
• Experience with the Intelligence Community (IC) and Workforce/Talent Management/Analytics.

Join our team and contribute to our mission by providing valuable insights and analytics to support strategic decision‑making. If you’re passionate about data analysis and ready to make an impact, we want to hear from you.