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Data Engineer Job at Logistics Management Institute

Logistics Management Institute Tysons, VA

Overview:
LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.

Responsibilities:
The ideal candidate will have have direct, applied experience with one or more of the following areas:
  • Define data requirements and gather and validate information, applying judgment and statistical tests.
  • Develop data structures to support the generation of business insights and strategy.
  • Maintain data infrastructure and develop scripts for regular processes.
  • Design and develop operational data analysis and visualization tools, techniques, metrics, and dashboards to meet business needs.
  • Analyze data analysis requests obtained from management to determine operational problems and define data modeling requirements, validation of content, and problem solving parameters.
  • Identify opportunities to use data to develop new strategies and improve business performance and utilize knowledge of mathematical modeling and other optimization methods to perform quantitative and qualitative data analysis.
  • Communicate and present data to management by developing reports using Tableau or Business Intelligence tools.
Qualifications:
  • Bachelor’s degree with a major in a analytical (e.g., engineering, statistics, mathematics, information technology, etc.) or social science discipline is preferred.
  • Bachelor's degree is required. Masters degree is preferred.
  • Must have at least 0-4 years of experience, preferably with a federal government customer.
  • Must have one or more of the following skillsets through education or work experience: quantitative and qualitative analysis; developing reports; scripting tools; and data warehouses and environments.
  • Must possess strong written and verbal communication skills.



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