KL: Herndon, VA

  • Mid Level Data Analyst

    Security Clearance
    Regular Full-Time
  • Job Locations


    A Day in the Life

    Knowledge Link is seeking a mid-level Data Analyst to help develop, design and organize research approaches for data collection and analysis.

    Time Well Spent

    • 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.
    • 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 eight (8) years of experience and six (6) 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.
    • Strong 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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