Senior Operations Analytics Lead

Capital i

Frederick (MD)

On-site

USD 145,000 - 180,000

Full time

14 days+

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Benefits offered by this job

401K matching

PTO

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Job summary

Capital i in Fort Detrick, MD seeks a Senior Operations Data Analyst to translate operational questions into analytic dashboards and decision‑support tools for Army Medicine leadership. You will design, validate, and maintain KPIs and dashboards across Army enterprise analytics environments, collaborating with SMEs and government stakeholders.

The role requires a Secret clearance, a Bachelor’s degree, 10 years in Army logistics, and expertise in Power BI, data governance, and AI/ML-enabled

Qualifications

Active Secret clearance. No sponsorship will be provided.
Bachelor’s degree in a related field of study.
10 years of experience with Army logistics.
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: 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, inventory optimization, readiness analysis, or process improvement.
Must provide documentation of eligibility to legally work in the United States without an employer-sponsored visa.
Must be able to pass background screening.

Responsibilities

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.