Medicare Data Analyst

Job Locations US-DC-Washington, DC
Posted Date 9 months ago(11/22/2019 12:27 PM)
Job ID
# of Openings


LMI is a consultancy dedicated to improving the business of government, drawing from deep expertise in advanced analytics, digital services, logistics, and management advisory services. Established as a private, not-for-profit organization in 1961, LMI is a trusted third party to federal civilian and defense agencies, free of commercial and political bias. We believe government can make a difference, and we seek talented, hardworking people who share that conviction.


This position is located in Washington, DC and provides program management expertise. Work will be primarily conducted at LMI headquarters in Tysons, but will also be performed at the client location in Washington, DC. Occasional travel to Baltimore, MD will be required.


The successful applicant will become part of an analytical team that supports public health systems management projects. The primary focus will be the Medicare program.  He/She will use strong data analysis skills (e.g., SAS/SQL/Excel/Python) to produce analytic files, reports and insights that inform Medicare policy.


Ultimately, success in this role comes from a combination of a passion for healthcare policy, exceptional attention to detail and accuracy, top-notch data analysis and presentation skills, experience working with healthcare claims, commitment to cross-functional teamwork, an outstanding client service ethic and a desire to consistently improve in an organization that is dedicated to excellence. Each day may require the candidate to:

  • Understand complex and organization-specific datasets;
  • Prepare analytic files for use by the client
  • Perform analyses to answer routine and ad hoc questions about the Medicare program (claims, enrollment, quality and/or provider)
  • Interact daily with the client to scope and prioritize project deliverables and reports
  • Learn and apply relevant federal policy and regulations to data analysis;
  • Develop and improve standard operating procedures; and
  • Demonstrate a strong commitment to excellence and precision



  • Strong Microsoft Office (Excel, PPT) skills required. Applicant may be required to perform demonstration of Excel or analytical skills.
  • 5 years experience in federal consulting performing in an analytic role using SAS and/or SQL
  • 3 years of experience analyzing any of the following (claims/encounter data, enrollment, quality and/or provider data) for the Medicare program
  • Superior communication and writing skills on technical subjects. Ability to provide narrative context of data analysis to a non-technical audience.
  • Ability to absorb large amounts of new technical and policy knowledge without a lot of guidance.
  • Strong interest in health policy.
  • Experience producing high quality analytical deliverables with both short-term (i.e., 1 hour) and longer-term (i.e., 1+ months) lead times.
  • Ability to multi-task between complex projects during seasonal peak periods
  • Demonstrated commitment to delivering outstanding products and service that meet or exceed our client’s expectations.


  • 6-10 years experience in federal consulting performing in an analytic role using SAS and/or SQL
  • 4-5 years of experience analyzing any of the following (claims/encounter data, enrollment, quality and/or provider data) for the Medicare program
  • Experience working with data and analytics in cloud environments, such as AWS or Azure

EEO Statement

LMI is an Equal Opportunity Employer-all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. 


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LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, age, national origin, disability, veteran status, or any other factors protected by applicable law.

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