LMI is seeking a Data Analyst to support a major office at the U.S. Department of Veterans Affairs (VA) through data analysis, reporting, business process improvement, and Microsoft Power Platform solutions. This role provides hands-on analytical and business support for operational improvement, digital modernization, workflow analysis, performance measurement, data quality, and decision support.
The analyst will translate business and mission questions into clear data and reporting requirements; identify data needs, assess source quality, prepare and validate information, and deliver accurate, decision-ready dashboards, reports, and recurring analyses. The role combines independent ownership of moderately complex, multi-source analysis and Power Platform work with practical delivery support, including documentation, testing, data maintenance, stakeholder coordination, and request tracking. Working with project managers, developers, technical teams, and VA stakeholders, the analyst will help shape analytical approaches, review outputs for quality, and communicate findings and limitations in plain language.
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.
Desired:
Target Salary Range: $70,000 - $118,000
Disclaimer:
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.