[Remote] Data Operations Analyst

Note: The job is a remote job and is open to candidates in USA. Peraton is a national security and enterprise IT company supporting government agencies and the U.S. armed forces. The Data/Operations Research Analyst will serve as a program-embedded power user and customer-facing operator of a customer-deployed Generative AI Platform, conducting data and operations research analysis, integrating disparate data sources, and producing actionable analytical products.

Responsibilities

• 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

Skills

• 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

Benefits

• Remote work allowed 100%
• Employees may be eligible for overtime
• Employees may be eligible for shift differential
• Employees may be eligible for a discretionary bonus

Company Overview