Data Analyst II (P/T)

Updated: December 5, 2018
Job ID: 214453
Status: Part-Time
Regular/Temporary: Regular
Location: Bethesda, MD, United States

Join the HJF Team!

HJF is seeking a Part-Time Data Analyst II to support the Rehab, Refit, Return to Duty (Rx3) program in the Department of Family Medicine located at the Uniformed Services University of the Health Sciences (USU) in Bethesda, MD. Responsibilities consist of data analysis support to the Rx3 health scientists and physicians in working with large research data sets (10,000+ records) that may include qualitative components. HJF provides scientific, technical, and programmatic support services to Family Medicine. 

Responsibilities:

  1. Imports, cleans, transforms, validates and/or models data with the purpose of discerning trends and patterns for further investigation, ultimately to improve understanding of the data and draw conclusions for purposes of health policy, healthcare management, and military readiness.  Some qualitative analysis required.
  2. Responsible for the validity of all data in project database files. Tests data to identify data integrity issues; works with the Rx3 data manager to identify potential solutions and make recommendations to the project team. In consultation with the rest of the study team, troubleshoots problems concerning database records. 
  3. Consults regularly with the rest of the study team concerning data requirements and efficient, accurate accomplishment of project goals and objectives.  
  4. Responsible for making data and results promptly and reliably accessible to the rest of the study team. As appropriate, recommends new or revised operating methods to improve processing, distribution, data flow, collection and database editing procedures.
  5. Responsible for full compliance with all data security requirements and privacy protections, including data archiving, as established in Department of Defense policies and Rx3’s approved research protocols.
  6. Participates in data-related projects, including but not limited to data normalization, data maintenance, data research, data standardization, and data quality assurance.
  7. Contributes to reports, presentations and other publication of findings as appropriate.
  8. Completes ad hoc data projects as assigned.
  9. Completes other assignments as needed.

Required Knowledge, Skills, and Abilities: Mastery of data cleaning and migration techniques as well as strong Excel and MS SQL skills, familiarity with IDC9 and IDC10 coding, and at least three years of experience in using SAS, SPSS, and/or STATA software.  Strong statistical and data analysis skills, focus and attention to detail, with ability to review detailed documents to validate data in operating systems and investigate data issues. Experience with Excel MACROS and pivot tables is a plus. 

Demon¬strated analytical skills, intellectual curiosity, and passion for analyzing data; ability to discern emerging patterns and trends in working with raw data. Expertise in working with variance and outliers highly desirable.  Significant experience with qualitative analysis a plus.

Ability to manage multiple tasks and projects simultaneously in order to meet strict deadlines and plan for next phase of project.  Excellent verbal and written communi¬cation skills, including ability to participate effectively as part of a multidisciplinary team. 

Minimum Education/Training Requirements:  B.S. in health information, information technology, or computer sciences.

Minimum Experience:  4-6 years experience in working with health data. Two to 4 years experience utilizing MS Excel features, SAS, SPSS, STATA, SQL query development and/or MS Access database development and maintenance.

Physical Capabilities:  Requires long periods of working at a computer; may lift materials weighing no more than 30 lbs.

Work Environment:  Office environment.

Background: Eligibility to obtain a Common Access Card (CAC); eligibility to obtain and hold a Public Trust background.

HJF is an equal opportunity and affirmative action employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.

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