Senior Operations Data Analyst

Job Title

Senior Operations Data Analyst

Ft. Detrick, MD

Serves as a senior advisor to Army Medicine leadership, translating operational needs into data-driven insights, dashboards, and decision-support tools. Leads development of analytics products, ensures data quality, and applies advanced analysis to improve operational performance, readiness, and efficiency across Army/DOD environments.

Position to start on or around October 1, 2026

• Serves as a trusted advisor to Army Medicine senior leaders by translating operational questions into analytic approaches, dashboards, and decision-support tools.
• Provide quality assurance reviews of relevant products developed by more junior Data Analysts.
• Designs, builds, maintains, and enhances operational dashboards, KPIs, scorecards, and decision-support products in Army-approved platforms such as Power BI, Army Vantage, and other Army enterprise analytics environments.
• Conducts organizational studies, evaluations, and operational assessments.
• Gathers, validates, and organizes information related to operational problems, process inefficiencies, and improvement opportunities.
• Applies mathematical modeling, statistical analysis, and optimization methods to support decision‑making, policy formulation, and other managerial functions.
• Defines and monitors performance metrics to assess operational effectiveness, efficiency, readiness, and compliance.
• Develops studies and recommendations related to new systems, procedures, and organizational changes to improve operations.
• Presents findings and recommendations to management through executive briefings, presentations, and written reports.
• Collaborates with functional SMEs, technical teams, and government stakeholders to ensure solutions are feasible, secure, and sustainable within Army/DOD network environments.
• Supports user acceptance testing, deployment, training, and adoption of dashboards and tools; develops SOPs, user guides, and data dictionaries.
• Performs data validation, reconciliation, cleaning, and root‑cause analysis to improve data quality and trust in decision‑support products.
• Supports development and operationalization of AI/ML-enabled analytic tools, where authorized, to improve forecasting, anomaly detection, and operational decision‑making.

• Occasional travel to CONUS and OCONUS sites may be required (0‑15%).

• 0800‑1700, Monday to Friday (onsite)

• Active Secret clearance. No sponsorship will be provided.
• Bachelor’s degree in related field of study
• 10 years of experience with Army logistics
• Preferred: inventory management and SSA/warehouse data operations
• Proficiency with Microsoft Office, including Word, Excel, PowerPoint, and Power BI
• Experience defining KPIs, operational metrics, and executive reporting
• Experience performing data validation, reconciliation, cleaning, and root‑cause analysis
• Strong ability to translate ambiguous business problems into analytic questions, data requirements, and usable products
• Ability to manage multiple priorities, shifting requirements, and tight deadlines in a client‑facing environment
• Experience developing interactive dashboards and visualizations in Power BI or similar BI platforms
• Experience working in Army and/or DOD network environments with associated access, security, and deployment constraints
• Experience briefing or supporting senior military/civilian leaders
• Experience with SQL, data querying, and data transformation
• Knowledge of data governance, access controls, and cybersecurity constraints in government environments
• Preferred (but not required):
  • Familiarity with Palantir Foundry/Advana and SAP modules to include but not limited to Financial and Accounting and Controlling, Sales and Distribution, Materials Management, and Plant Maintenance, and other authoritative systems of record
  • Knowledge of Army logistics, medical logistics, sustainment, and supply chain operations
  • Experience supporting development and operationalization of AI/ML-enabled analytic tools in approved environments
  • Experience with forecasting, anomaly detection, demand planning,…