Healthcare (HC) Data Analyst
Amentum · R0158925
Normalized fields
open- Function
- digital_it
- Business unit
- Not classified
- Location
- US-MD-Bethesda
- Work model
- On-site
- Seniority
- Not classified
- Clearance
- TS/SCI
- Employment type
- Full time
- Compensation
- Not provided
- First seen
- 2026-08-07T01:00:26.851Z
- Last seen
- 2026-10-15T11:26:32.807Z
- Requisition
- R0158925
Latest version
Amentum provides a range of Department of Defense, Intelligence Community, and Commercial analytic and operational support, risk analysis, analytic outreach, red teaming, and event support services. We pride ourselves in developing creative, customized, and flexible approaches that meet our clients’ evolving and dynamic needs. Amentum is seeking a Human Capital Data Analyst – Senior. This position is to build a pipeline for future work and is not a live opening. The following categories shall pose the necessary skills and disciplines to assist the varying tasks. Responsibilities and duties listed below are not mutually exclusive. Desired Knowledge, Skills and Abilities: Provides Data Analytic support for HC surveys (eg Lime Survey) and data calls Leads structuring data, natural language processing, database technologies, and machine learning algorithms. Ability to translate complex, technical, or analytic findings into an easily understood narrative — tell a story with the data in graphical, verbal, or written form. Uses analytical software to support quantitative and analytic efforts and workforce planning, including engagement with the Intelligence Community. Coordinates within government and across the IC for survey data Uses data tools such as Python, conduct R analysis, SPSS, display results via Tableau Interfaces with government stakeholders within HC, HRM), 18 IC Agencies CHCOs, other task order PMs and DEIA Lead Required Skills and Abilities: TS/SCI security clearance is required. Senior level experience with HR-related Data Analytics, to include support for HC surveys (eg Lime Survey) and data calls, structuring data, natural language processing, database technologies, and machine learning algorithms. Ability to translate complex, technical, or analytic findings into an easily understood narrative — tell a story with the data in graphical, verbal, or written form. Uses analytical software to support quantitative and analytic efforts and workforce planning, including engagement with the Intelligence Community. Highly proficient with data tools such as Python, conduct R analysis, SPSS, display results via Tableau. Excellent oral and written communications skills and expertise with MS Office tool suite.
Derived classifications
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