KL: Herndon, VA

Expert Level Data Analyst

Security Clearance
Regular Full-Time

Job Locations


A Day in the Life

Develop, design and organize research approaches for data collection and analysis. Administer quality control and process improvement activities, including data entry, data cleaning and data coding. Merge multiple datasets using advanced functions of Excel and other statistical applications.

Time Well Spent

  • Develop queries and reports, extract data from PeopleSoft, Microsoft Access, Microsoft Excel, and SPSS
  • Analyze data using advanced statistical techniques. 
  • Design, conduct, analyze and report on quantitative and qualitative research. 
  • Display analyses results in text and visualizations to communicate results to customers. 
  • Support annual and ad hoc internal and external reporting requirements
  • Prepare briefings and reports as needed.

Qualified Candidate

  • Bachelor's Degree with significant quantitative analytic focus.
  • Minimum twenty (20) years of experience and fifteen (15) years of relevant experience in workforce/human capital analysis, business/finance/economics, operation research, and/or system engineering.
  • Demonstrated experience to apply scientific approaches to analyze qualitative and quantitative data to ensure rigor in data quality.
  • Demonstrated experience in data collection and analysis.

Exceptional Candidate

  • Master degree with significant quantitative analytic focus.
  • Proficiency with PeopleSoft, SPSS, Microsoft Access.
  • Working knowledge of NGA organizations and mission.
  • Working knowledge of Microsoft Project.
  • Strong history/experience in customer-service, able to advise on tactical and strategic issues.
  • Excellent oral and written communication skills; demonstrated ability to develop written artifacts of the caliber to be consumed by working and senior audiences.
  • Strong interpersonal skills; ability to work independently, and as a team member; ability to establish a network of contacts; ability to mentor and guide activities of other team members.
  • Demonstrated ability to merge multiple workload and population datasets that involves use of advanced functions of Excel and other statistical applications.
  • Demonstrated ability to conduct interviews, research, and data analysis to translate information into analytic results.
  • Demonstrated proficiency in MS Office.


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