Data Analyst

Role Overview

LMI is seeking a Data Analyst to support Department of Veterans Affairs (VA) modernization initiatives. This position follows a hybrid work model, with an expectation of approximately 25% onsite presence at LMI’s Tysons headquarters or Washington, DC. The analysts will turn business and mission questions into defensible analysis by identifying data needs, assessing source quality, preparing and validating data, performing exploratory and recurring analysis, and presenting results in clear, decision-ready formats.

What You Will Do

The role works closely with data science, data integration, program evaluation, clinical informatics, delivery, and technical teams. Specialized leads retain responsibility for advanced modeling, formal evaluation methodology, complex integration architecture, and clinical interpretation; these analysts provide the scalable execution needed to move multiple workstreams forward.

Why It Might Be a Fit

Strong candidates combine practical SQL and analytical skills with disciplined documentation, data-quality judgment, and concise communication.

Requirements

• Bachelor’s degree in data analytics, statistics, mathematics, economics, operations research, computer science, information systems, public health, engineering, or a related quantitative field
• 4+ years of relevant data analysis, business intelligence, performance analysis, reporting, or operational analytics experience
• Strong SQL skills and proficiency with at least one additional analytical tool such as Python, R, SAS, advanced Excel, Power Query, or a comparable platform
• Experience preparing and validating multi-source data, including joins, transformations, duplicate handling, missing-data review, exception analysis, and reconciliation
• Working knowledge of descriptive statistics, trends, distributions, baselines, comparisons, sampling concepts, and appropriate interpretation of observational data
• Experience developing analytical tables, dashboards, visualizations, reports, or decision-support products with traceable source data and calculation logic
• Ability to translate ambiguous stakeholder questions into clear analytical requirements and adjust the approach when available data does not support the original request
• Strong data-quality judgment and clear communication of definitions, assumptions, methods, limitations, and uncertainty to technical and non-technical audiences
• Experience maintaining reproducible analytical work through documented queries/code, data dictionaries, version control, peer review, or comparable quality practices

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• 401(k) or retirement plan
• Paid time off
• Paid holidays
• Flexible work arrangements
• Professional development opportunities

Tagged as: Data Analysis