Data/Operations Research Analyst

The Data/Operations Research Analyst will serve as a program-embedded power user and customer-facing operator of a customer-deployed Generative AI Platform. This role is purpose-built for customer intimacy, applying data analysis and operations research tradecraft that is domain-agnostic and applicable wherever decisions must be made from imperfect, disparate, and largely unstructured information.

What You Will Do

The analyst will leverage the full breadth of the Generative AI Platform to fuse heterogeneous inputs into coherent, decision-ready products. They will design, build, and maintain dashboards, scorecards, and recurring reports that give program leadership and the customer a single, trustworthy view of status, risk, performance, and opportunity.

Why It Might Be a Fit

The ideal candidate will have a strong critical thinking, analytical reasoning, and problem-solving skills, including the ability to assess source reliability, reconcile conflicting inputs, and quantify uncertainty. They will be able to work cross-functionally with technical teams and provide clear, prioritized feedback on platform capabilities and analytical needs.

Requirements

• Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA; Minimum of 3 years with PhD
• Minimum of a Bachelor’s degree in Data Analytics, Statistics, Mathematics, Operations Research, Industrial Engineering, Information Systems, Business Analytics, Economics, Computer Science, Engineering, Public Policy, Social Sciences, or a related analytical/research field
• 5–10 years of relevant experience as a data analyst, operations research analyst, research analyst, business analyst, program analyst, customer insights analyst, performance analyst, or comparable broad-based analytical role
• Demonstrated experience producing structured analytical products from diverse data sources
• Working proficiency in SQL for data extraction and shaping, plus advanced Excel
• Working proficiency in Python or R for data wrangling, exploratory analysis, and reporting automation
• Solid grounding in quantitative methods — descriptive statistics, trend and segmentation analysis, basic inferential statistics, and exposure to operations research techniques
• Demonstrated research and analysis skills — the ability to scope a question, gather authoritative sources, evaluate credibility, synthesize across sources, and cite cleanly
• Strong critical thinking, analytical reasoning, and problem-solving skills
• Comfort working with disparate, messy, and predominantly unstructured data
• Strong written and verbal communication skills
• Customer-facing presence and judgment — the ability to build trust quickly, manage sensitive information appropriately, and represent the program professionally

Benefits

• Target Salary Range: $104,000 - $166,000
• Overtime, shift differential, and a discretionary bonus in addition to base pay
• Eligibility for overtime, shift differential, and a discretionary bonus