Senior Data Analyst
Description
Position Title: Senior Data Analyst/Operations Research Systems Analyst
Customer: Defense Health Agency
Location: 7700 Arlington Boulevard, Arlington, VA, 22042 (Hybrid Remote)
Clearance Required: Favorably adjudicated NACLC
Hours of Operation: Monday – Friday 8:00am and 5:00pm
GC Associates (GCA) Company Website: http://www.gcassociates-usa.com
GC Associates is seeking a Senior Data Analyst / Operations Research Systems Analyst to provide strategic quantitative analysis, enterprise data visualization, and decision-support modeling to the Deputy Assistant Secretary of War for Health Services Policy and Oversight, and the Director, Defense Health Agency (DHA).
This senior role will lead the analytical architecture and data analysis for key Department of War efforts, primarily the Disability Evaluation System (DES) and Special Compensation for Assistance with Activities of Daily Living (SCAADL) Programs. The ideal candidate will combine advanced statistical modeling (R, Python) and relational data architecture to transform complex multi-agency datasets into actionable executive insights, predictive forecasts, and automated intelligence dashboards.
DUTIES AND RESPONSIBILITIES:
The Senior Data Analyst/Operations Research Systems Analyst must have experience in and be able to complete all functions of the position while under minimal to no supervision in the following areas:
- Architect, direct, and execute high-level exploratory, descriptive, and predictive data analyses on multi-source enterprise data to evaluate the health, throughput, and equity of the DES and SCAADL programs.
- Lead the design and delivery of recurring and ad hoc strategic deliverables, including executive-level weekly and monthly performance dashboards, quarterly quality assurance assessments, mandated annual/triennial reports, survey outcome reports, and congressional inquiries.
- Design and execute complex operations research, economic, and scientific modeling simulations (utilizing Python and R) to forecast the impact of proposed policy, legislative, and procedural changes on overall process timelines and Service member outcomes.
- Translate complex quantitative findings into high-level executive summaries, briefings, and white papers; regularly present analytical results and strategic recommendations directly to DHA leadership and Office of the Assistant Secretary of War for Health Affairs stakeholders.
- Establish rigorous data governance protocols, data validation routines, and standardized Standard Operating Procedures to guarantee analytical reproducibility, data integrity, and compliance across all recurrent reports.
- Partner with IM/IT systems analysts, clinical subject matter experts, database administrators, and government program leads to identify data gaps, optimize data capture in source systems, and enhance cross-agency interoperability.
REQUIRED SKILLS AND QUALIFICATIONS FOR THE POSITION:
Education:
- Master’s degree in Operations Research, Data Analytics, Statistics, Applied Mathematics, Computer Science, Economics, or related quantitative field with at least four (4) years of progressive, professional analytical experience; OR
- Bachelor’s degree in a quantitative discipline with at least seven (7) years of progressive, professional analytical experience.
Experience:
- Proven track record leading quantitative projects, statistical studies, and enterprise reporting in a Department of War, federal government, or healthcare environment.
- Demonstrated experience presenting analytical findings and strategic recommendations to senior civilian and military executives.
- Highly proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Access, Outlook), Adobe software programs, and related applications. Must have experience with R, Python, or other similar technologies.
- Strong technical writing and communication skills, with the ability to interact effectively with diverse stakeholders and work collaboratively in a team environment.
- Exceptional organizational and time management skills, adept at managing multiple tasks and prioritizing responsibilities to consistently meet deadlines. Strong attention to detail and accuracy in completing tasks.
Monday – Friday 8:00am and 5:00pm