Ascension LLC is seeking a high-performing Operations Research / Data Analyst (Mid-Level) to support the U.S. Coast Guard (USCG) Surface Forces Logistics Center (SFLC) in optimizing logistics operations, improving decision-making, and enhancing fleet readiness through advanced analytics.

This role is critical to mission success. You will apply quantitative analysis, modeling, and simulation techniques to improve supply chain performance, asset readiness, and resource allocation across USCG logistics systems. Your work will directly influence how the Coast Guard plans, sustains, and modernizes its surface fleet logistics operations.

Ascension is looking for a professional who thrives at the intersection of data, operations, and strategy and can translate complex analytical findings into actionable insights for leadership.

Position Summary

The Operations Research / Data Analyst will support logistics optimization, decision modeling, and performance improvement initiatives by applying statistical analysis, simulation, and mathematical modeling techniques.

The ideal candidate is:

• Analytical and detail-oriented, with strong problem-solving capabilities
• Self-driven and comfortable working in ambiguous, data-rich environments
• Skilled at translating data into operational recommendations
• Able to manage multiple priorities and support cross-functional teams

You will work closely with data scientists, logistics SMEs, and program leadership to:

• Improve supply chain and logistics performance
• Support strategic planning and resource allocation
• Conduct data-driven studies and performance assessments
• Deliver actionable insights to senior stakeholders

Day-to-Day Responsibilities

• Perform statistical analysis, modeling, and simulation to support logistics optimization efforts
• Analyze supply chain, inventory, workforce, and maintenance data to identify trends and inefficiencies
• Develop decision-support models (e.g., forecasting, optimization, linear programming)
• Conduct data mining and trend analysis across large, complex datasets
• Support logistics engineering studies to assess system performance and readiness impacts
• Build and maintain data models and analytical frameworks for operational decision-making
• Collaborate with stakeholders to define business problems and analytical approaches
• Develop dashboards, visualizations, and reports to communicate findings
• Present recommendations to leadership in clear, actionable formats
• Support continuous process improvement initiatives across logistics operations
• Integrate data from multiple systems (logistics IT systems, supply systems, etc.)
• Provide analytical support to strategic planning and program performance efforts