Data Analyst

LMI is seeking a Data Analyst to support Department of Veterans Affairs (VA) modernization initiatives. These full-time positions provide hands‑on analytical capacity across AI-enabled use cases, operational improvement, workflow modernization, performance measurement, reporting, data-quality assessment, and decision support.

The Data Analysts will use SQL and Python as core day‑to‑day tools to acquire, prepare, validate, analyze, and automate data workflows. They will also support AI-enabled analysis and solution evaluation by preparing evaluation datasets, assessing AI-generated outputs, identifying data‑quality and grounding issues, measuring performance, and helping teams distinguish useful AI‑assisted insights from unsupported or unreliable results.

The role works closely with the Senior AI Lead, Data Science Lead, data integration, program evaluation, clinical informatics, delivery, and technical teams. These analysts are not expected to replace data scientists or AI engineers; they provide the scalable analytical execution, validation, and evidence needed to move multiple AI and modernization work streams forward responsibly.

Candidates should independently execute well-scoped analyses and recurring analytical products. Candidates should own more complex multi-source and AI-enabled analyses, shape analytical approaches, review work, and advise stakeholders. Strong candidates combine practical AI experience with strong SQL and Python skills, disciplined documentation, data-quality judgment, and concise communication.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

• Support AI-enabled analytics and modernization use cases by preparing data, defining measures, evaluating outputs, and identifying data-quality, grounding, accuracy, bias, or reliability issues that could affect decisions.
• Use SQL and Python as primary analytical tools to extract, query, join, clean, transform, validate, analyze, and automate data across multiple approved sources.
• Build and maintain evaluation datasets, test cases, comparison analyses, and performance measures for AI/ML or generative AI capabilities under appropriate technical leadership.
• Profile enterprise, operational, workflow, program, survey, and AI-related data for availability, completeness, consistency, lineage, sensitivity, and fitness for intended use.
• Perform exploratory, descriptive, trend, cohort, segmentation, variance, before/after, and exception analysis appropriate to the decision need and available data.
• Build analysis-ready datasets, analytical tables, visualizations, dashboards, and concise decision-support products for technical and non-technical audiences.
• Translate stakeholder and AI-use-case questions into data requirements, metric definitions, filters, denominators, business rules, validation checks, and analytical outputs.
• Support retrieval-augmented generation (RAG), AI search, or knowledge-based use cases by assessing source coverage, authoritative data, metadata, retrieval quality, and content gaps.
• Reconcile…