Energy Data Analytics Lead

Logistics Management Institute·Remote(United States)

Data & Analytics

Looker StudioGoogle Sheets

WFA Digital Insight

The demand for data analytics specialists in the energy sector has grown significantly, with a 25% increase in job postings over the past year. As companies like Logistics Management Institute prioritize data-driven decision-making, professionals with expertise in tools like Looker Studio and Google Sheets are in high demand. With the federal government's push for sustainability and energy efficiency, this role offers a unique opportunity to make a lasting impact. Before applying, candidates should be aware of the importance of collaboration and innovation in this field, as well as the need for strong technical skills and functional knowledge of energy-related operations.

Job Description

About the Role

The Energy Data Analytics Lead will play a critical role in supporting a major civilian federal agency, leading data engineering initiatives across LMI as needed. This position requires a unique blend of technical expertise, business acumen, and collaboration skills. The successful candidate will be responsible for optimizing and modernizing data pipelines to improve performance, scalability, and long-term sustainability. The role is part of a dynamic team focused on driving innovation and impact in the energy sector. As a key member of this team, the Energy Data Analytics Lead will work closely with analysts, developers, data engineers, and non-technical stakeholders to scope requirements, compare solution options, and support implementation. The Energy Data Analytics Lead will also have the opportunity to design and develop new data tools and solutions to support reporting, analytics, and business needs, serving as the lead Data Architect and driving tool development, solution implementation, and innovation across the division.

What You Will Do

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
Collaborate with analysts, developers, data engineers, and non-technical stakeholders to scope requirements, compare solution options, and support implementation
Evaluate existing tools and workflows, identify technical risks or inefficiencies, and recommend practical improvements
Coordinate with cross-functional teams to ensure seamless integration of data solutions
Develop and maintain technical documentation to support data pipelines and tools
Stay up-to-date with industry trends and emerging technologies to identify opportunities for innovation and improvement

What We Are Looking For

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
Ability to coordinate with analysts, developers, data engineers, and non-technical stakeholders to scope requirements, compare solution options, and support implementation
Strong communication and collaboration skills, with the ability to explain technical work in concrete terms

Nice to Have

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

Benefits and Perks

Competitive salary range
Comprehensive health insurance
Generous paid time off and holidays
Remote work stipend and flexible work arrangements
Opportunities for professional development and growth
Collaborative and dynamic work environment
Access to cutting-edge technologies and tools
Recognition and reward for outstanding performance

How to Stand Out

Develop a strong portfolio showcasing your experience with data analytics tools like Looker Studio and Google Sheets.
Highlight your ability to communicate technical concepts to non-technical stakeholders.
Emphasize your experience with data pipelines and data transformation concepts.
Be prepared to discuss your approach to evaluating existing tools and workflows, and identifying areas for improvement.
Show enthusiasm for staying up-to-date with industry trends and emerging technologies.
Prepare to discuss your experience with collaboration and teamwork, and how you handle conflicting priorities and tight deadlines.
Research the company culture and values, and be prepared to discuss how your skills and experience align with them.

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