LMI seeks a Tactical Infrastructure Data Analyst to support a federal program management office in RGV, RX. Join our team of collaborative self-starters focused on delivering practical and efficient solutions to help our client keep U.S. borders safe and facilitate trade and travel. As part of our high-performing team, you will augment our vital work to provide "eyes and ears" technology to protect our nation.
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.
The Tactical Infrastructure Data Analyst provides a variety of support for the majority of systems the Border Patrol Facilities and Tactical Infrastructure (BPFTI) Program Management Office (PMO) uses, including but not limited to the Facilities and Infrastructure Tracking Tool (FITT), TRIRIGA, and the Work Management System (WMS.) This position enters new data into various systems as needed, creates recurring and ad-hoc systems reports, and performs quality assurance (QA) and quality control (QC) on various existing data, working with Project Managers and Analysts to resolve discrepancies. The Data Tech also assists with data searches and maintains a library of systems-related policies and procedures.
Disclaimer: $80,000 - $145,000
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.
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