Energy Data Analytics Lead

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Provide support to a significant civilian federal agency while overseeing data engineering projects throughout LMI as necessary.

• Enhance and upgrade data pipelines to boost performance, scalability, and long-term viability.

• Create and implement new data tools and solutions to address reporting, analytics, and business requirements.

• Act as the principal Data Architect, steering tool development, solution execution, and innovation within the division.

• Utilize functional knowledge of energy-related operations to guide architecture, analytics, and solution design.

⛳️ Requirements

• A bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative field.

• A comprehensive working knowledge of data analysis, automation, dashboards, databases, cloud data tools, APIs, and lightweight application or scripting methods.

• Proficiency in using technical tools such as Python, JavaScript, Google Apps Script, SQL, BI platforms, or cloud data services to enhance reporting, analysis, or operational processes.

• Familiarity with data pipelines and data transformation principles, including data ingestion, validation, reconciliation, refresh processes, and documentation.

• Capability to assess existing tools and workflows, pinpoint technical risks or inefficiencies, and propose practical enhancements across various technological alternatives.

• Ability to collaborate with analysts, developers, data engineers, and non-technical stakeholders to define requirements, evaluate solution options, and facilitate implementation.

• Competence in articulating technical work in clear terms, encompassing the addressed problem, utilized tools, served users, considered trade-offs, and maintenance strategy.

• Preferably, experience in federal consulting.

• Experience with Google Workspace, particularly Google Sheets and Google Apps Script.

• Familiarity with Google Cloud Platform, BigQuery, or similar cloud database environments.

• Exposure to BI or visualization tools such as Looker Studio, Tableau, Power BI, MicroStrategy, Qlik, or equivalent platforms.

• Knowledge of REST APIs, JSON, web technologies, ETL tools, or advanced analytics techniques.

• Experience in modernizing manual, spreadsheet-based, or legacy reporting processes into more reliable and scalable systems.

• Experience with federal energy or sustainability data processes.

🏝️ Benefits

• Health insurance

• 401(k) matching

• Paid time off

• Flexible work hours

• Professional development opportunities