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DoD Energy Data Analyst
DoD Energy Data AnalystLMI Consulting, LLC • Washington, DC, United States
DoD Energy Data Analyst

DoD Energy Data Analyst

LMI Consulting, LLC • Washington, DC, United States
Hace más de 30 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

DoD Energy Data Analyst

Job Locations

US-DC-Washington, DC

Job ID

2025-13350

# of Openings

Category

Environmental

Benefit Type

Salaried High Fringe / Full-Time

Overview

LMI seeks an Energy Data Analyst to support, improve and expand energy efficiencies and capabilities for a current Federal client. LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in cloud technical 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, modernization strategies, and cloud services. 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.

LMI has been named a 2024 #BestPlacestoWork in the United States by Built In! We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible!

Responsibilities

Support the client with analysis of energy use, distribution, generation, storage, and management.

  • Support statistical modeling of energy needs.
  • Support operations research and other data analytical methods to facilitate decision making and justify resource allocation.
  • Provide support for the transition of the client to become a data-driven organization.
  • Support in-depth analysis to facilitate informed decision making and policy development.
  • Provide support and direct development for data collection, data quality assurance, and in-depth analysis related to operational energy.

Qualifications

  • Competence in quantitative methods and applied mathematics
  • Understanding of the fundamental concepts and techniques of operations research to installation energy and operational energy challenges.
  • Experience developing models and simulations and synthesizing information into quantitative and qualitative assessments to support senior leader decision- making.
  • Bachelor's Degree in : Operations Research, Engineering, Mathematics, Computer Science, Economics or Management Science.
  • Knowledge and understanding of, and practical experience in, the application of quality management and assurance techniques.
  • Clearance : Secret Clearance Eligible
  • Target salary range : $81,000 - $115,000

    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.

    LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org

    Colorado Residents : In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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