Energy Data Analytics Lead

Role Overview

• Support a major civilian federal agency while leading data engineering initiatives across LMI as needed.
• Optimize and modernize data pipelines to improve performance, scalability, and long-term sustainability.
• Design and develop new data tools and solutions to support reporting, analytics, and business needs.
• Serve as the lead Data Architect, driving tool development, solution implementation, and innovation across the division.
• Apply functional knowledge of energy-related operations to inform architecture, analytics, and solution design.

Requirements

• Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline.
• Broad working familiarity with data analysis, automation, dashboards, databases, cloud data tools, APIs, and lightweight application or scripting approaches.
• Experience using technical tools such as Python, JavaScript, Google Apps Script, SQL, BI platforms, or cloud data services to improve reporting, analysis, or operational workflows.
• Working knowledge of data pipelines and data transformation concepts, including data ingestion, validation, reconciliation, refresh processes, and documentation.
• Ability to evaluate existing tools and workflows, identify technical risks or inefficiencies, and recommend practical improvements across multiple possible technological approaches.
• Ability to coordinate with analysts, developers, data engineers, and non-technical stakeholders to scope requirements, compare solution options, and support implementation.
• Ability to explain technical work in concrete terms, including the problem addressed, tools used, users served, tradeoffs considered, and maintenance approach.
• Federal consulting experience preferred.
• Experience with Google Workspace, especially Google Sheets and Google Apps Script.
• Experience with Google Cloud Platform, BigQuery, or comparable cloud database environments.
• Experience with BI or visualization tools such as Looker Studio, Tableau, Power BI, MicroStrategy, Qlik, or similar platforms.
• Familiarity with REST APIs, JSON, web technologies, ETL tools, or advanced analytics methods.
• Experience modernizing manual, spreadsheet-based, or legacy reporting workflows into more reliable and scalable processes.
• Experience working with federal energy or sustainability data processes.

Tech Stack

• BigQuery
• Cloud
• ETL
• Google Cloud Platform
• JavaScript
• Python
• SQL
• Tableau

Benefits

• Health insurance
• 401(k) matching
• Paid time off
• Flexible work hours
• Professional development opportunities