KL: Herndon, VA

  • Senior Level Data Analyst

    Security Clearance
    Regular Full-Time
  • Job Locations


    A Day in the Life

    Knowledge Link i seeeking a senior-level Data Analyst to develop, design and organize research approaches for data collection and analysis.  In this role, you will administer quality control and process improvement activities, including data entry, data cleaning and data coding as well as 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, and 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 and prepare briefings and reports as needed.

    Qualified Candidate

    • Bachelors Degree with significant quantitative analytic focus.
    • Minimum twelve (12) years of experience and eight (8) years of relevant experience in workforce/human capital analysis, business/finance/economics, operation research, and/or system engineering.
    • Demonstrated experience in data collection and analysis

    Exceptional Candidate

    • Masters 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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