At Peraton, we're at the forefront of delivering the next big thing every day. We're the partner of choice to help solve some of the world's most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

How do we do it? By thinking differently. We're not mired in the past. We look at all problems with fresh eyes. We look past the obvious to bring the best talent, tech, and ideas together to completely transform how things get done. So bring your unique ideas, your entrepreneurial spirit, and your drive to succeed and get ready to be part of something bigger. Get ready to do the can't be done.

What you'll do

Embed within an assigned program to develop deep customer intimacy — understanding the program’s mission, stakeholders, data landscape, decision cadences, and reporting obligations — and translate that understanding into data-driven products that drive action.

Conduct broad-based data and operations research analysis across whatever data the program generates or consumes, leveraging the customer-deployed Generative AI Platform, agentic workflows, structured retrieval, and AI-assisted analytical tools to produce timely, defensible findings.

Serve as a power user of the Generative AI Platform — deeply learning its capabilities, identifying optimal workflows, and pushing the boundaries of AI-augmented data analysis and operations research.

Acquire, profile, clean, and integrate data from disparate sources — flat files, exports, APIs, databases, knowledge bases, and unstructured content — establishing the data foundations on which downstream analysis depends.

Apply quantitative methods (descriptive statistics, trend and cohort analysis, segmentation, correlation, basic inferential techniques, and where appropriate forecasting, optimization, or simulation) to answer program and customer questions.

Conduct primary and secondary research and operations analysis — literature scans, document review, stakeholder interviews, process and workflow analysis, performance studies, market and competitor scans, policy or regulatory review — and synthesize findings into clear, well-cited products.

What you'll need:

Minimum of 16 years with BS/BA; Minimum of 14 years with MS/MA; Minimum of 10 years with Ph.D.

5 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.

Clearance: active Secret required

Demonstrated AI experience producing structured analytical products from diverse data sources, including unstructured documents and correspondence, semi-structured exports, and structured databases.

Demonstrated track record building dashboards, scorecards, and recurring reports that are actively used by leadership or customer stakeholders to make decisions.

Working proficiency in SQL for data extraction and shaping, plus advanced Excel; experience with at least one BI/visualization tool (Power BI, Tableau, Plotly, Looker, or equivalent).

Working proficiency in Python or R for data wrangling, exploratory analysis, and reporting automation (pandas, plotly/matplotlib, or equivalent).

Solid grounding in quantitative methods — descriptive statistics, trend and segmentation analysis, basic inferential statistics, and exposure to operations research techniques (forecasting, optimization, simulation, queuing, or decision analysis) — with sound judgment about when to apply them.