Energy Data Analytics Lead

🔥 1 minute ago

⚔️ Virginia – Remote

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💵 $83.4k - $144.4k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

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Logo of LMI

LMI

1001 - 5000 employees

Founded 1961

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

🏛️ Government

Artificial Intelligence • Healthcare Insurance • Government

LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.

📋 Description

• 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.

🏖️ Benefits

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

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