Energy Data Analytics Lead

Overview

LMI is seeking a skilled Energy Data Analytics Lead focused on infrastructure, energy, and environment data and tools. Successful candidates demonstrate competency in data pipelining, data analysis, statistics, programming, project execution, tool development and optimization, and critical thinking paired with functional knowledge of infrastructure, energy, or environment data. 

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. We believe government can make a difference, and we seek talented, hardworking people who share that conviction. 

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

This candidate will join a high-performing team primarily supporting the General Services Administration (GSA) while leading additional data engineering efforts spanning the Infrastructure, Energy, and Environment (IEE) sub-service line. The candidate will optimize existing data pipelines for efficiency, strategize how to transform pipelines for a long-term and scalable data pipeline solution, and build new tools to support a new reporting program. 

The candidate will serve as the lead data architect for all tool development, solution implementation, and innovation generation across the division, so a working knowledge of functional IEE considerations is required.

Specific responsibilities include:

• Lead digital transformation initiatives across the IEE division, with a focus on developing and implementing data-driven solutions.
• Coordinate across IEE programs to identify current solutions, identify opportunities for process improvement, and implement new solutions.
• Interface with other LMI SSLs to identify the right talent to develop and implement solutions as needed.
• Identify, assess, and drive opportunities to automate client-facing processes to improve efficiency of delivery and accuracy of results across IEE programs.
• Optimize, harden, and deploy existing IEE solutions to rapidly and sustainably address specific client challenges.
• Adapt existing tools to emerging priorities, new architectures, and additional data sources.
• Frame and scale data problems to analyze, visualize, and find data solutions. 
• Manipulate common data formats, including comma-delimited, text files, and JSON. 
• Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to research questions. 
• Optimize existing Excel and Google Sheets-based tools.
• Apply critical and analytical thinking skills to translate complex information into understandable and impactful work products. 
• Oversee and complete special projects as needed. 
• Rapidly prioritize competing requirements, understand and simplify client requirements. 
• Communicate with clients through written reports and oral presentations.

Qualifications

Required:

• Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline. 
• Experience with leading and/or supporting data operations teams to develop architecture, policies, extract-transform-load (ETL) data pipelines, and data models 
• Familiarity with data, systems, and key performance indicators relevant to infrastructure, energy, and/or environment functional areas such as energy efficiency analysis, greenhouse gas accounting, space optimization, or real property capital planning and investment.
• Experience working with object-oriented programming (Python, JavaScript), relational databases and ETL tools ( (SQL, dbt, Pyspark)
• Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections.
• Experience in the Google Worskspace environment, especially Google Sheets, including functions like MAP(LAMBDA()), XLOOKUP(), and IMPORTRANGE(), and automating functions in Drive and Docs with Google Apps Script.
• Experience in Google Cloud Platform (GCP), especially in building, maintaining, querying, and analyzing data in BigQuery.
• Experience in data visualization and BI tools, such as Tableau, Power BI, Looker MicroStrategy, or Qlik.
• At least 5-7 years of experience in the field.
• Superior communication skills, both oral and written. 

Desired:

• Federal consulting experience preferred 
• Extensive experience presenting to leadership and senior officials.
• Experience with web technologies (HTML, CSS, JS) and building web applications using any modern front-end frameworks (angular, VueJs, React, Bootstrap, etc) a plus.
• Previous experience building and/or using REST APIs for data serving and collection. Previous experience working with federal energy, sustainability, facility management data processes
• Developing data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets
• Supervising algorithm implementation in cloud-based computing environments