Data Analyst – Clearance Required

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October 7

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LMI

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Artificial Intelligence • Healthcare Insurance • Government

LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.

1001 - 5000 employees

Founded 1961

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

🏛️ Government

📋 Description

• Collect, clean, and analyze large, complex datasets generated from ATIS applications, including training usage, system performance, and user engagement metrics. • Translate analytical findings into clear, actionable recommendations for ATIS product teams, Army leadership, and government customers. • Partner with software developers, UX researchers, and product owners to ensure data requirements are identified, tracked, and integrated into system enhancements. • Support incoming and outgoing data interfaces, including schema design, ETL pipeline development and maintenance, ensuring data quality and data consistency. • Support resolution of data-related user inquiries. • Provide input into backlog prioritization by highlighting data-driven opportunities for system improvements and innovation. • Support compliance with Army and DoD data governance, security, and privacy policies.

🎯 Requirements

• Active Secret security clearance required • Bachelor’s degree in Computer Science, Engineering, or a related field • 3+ years of experience in enterprise-level data engineering, data architecture, or related fields • Active DoDI 8140 certification (e.g., CISSP, CISM, Security+) • Expertise in enterprise database and data warehouse design, query optimization, and performance tuning • Strong problem solving and SQL analysis skills • Proven ability to learn and apply domain knowledge to data transformations and data quality reports • Skilled in process design, modeling, and documentation using DoDAF or similar frameworks • Experience supporting data-centric enterprise systems and integration with multidimensional networks • Familiarity with Agile frameworks, especially SAFe, and experience working in PI cycles and Agile ceremonies • Strong understanding of project management principles and tools to support collaborative team-based delivery

🏖️ Benefits

• Career Development • Work-Life Wellness