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Weekday Energy Data Analyst Jobs (NOW HIRING)

LMI

Energy Data Analytics Lead

$83K - $144K/yr

Energy Data Analytics Lead LMI is seeking a skilled Energy Data Analytics Lead focused on infrastructure, energy, and environment data and tools. Successful candidates demonstrate competency in data ...

Logistics Management Institute

$83K - $144K/yr

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 ...

TRIO

Energy Analyst

Dublin, OH · On-site

Trio is a global energy and sustainability advisory company that helps large commercial, industrial ... Utility Data Management & Analysis * Collect, validate, and maintain utility data across client ...

TRIO

Energy Analyst

Dublin, OH · On-site +1

Trio is a global energy and sustainability advisory company that helps large commercial, industrial ... Utility Data Management & Analysis * Collect, validate, and maintain utility data across client ...

Apply Early

TRIO

Energy Analyst

Dublin, OH · On-site +1

Trio is a global energy and sustainability advisory company that helps large commercial, industrial ... Utility Data Management & Analysis * Collect, validate, and maintain utility data across client ...

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All JobsWeekday Energy Data Analyst Jobs

Weekday Energy Data Analyst information

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$34K

$82.6K

$136K

How much do weekday energy data analyst jobs pay per year?

As of Jul 2, 2026, the average yearly pay for weekday energy data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Weekday Energy Data Analyst vs Weekend Energy Data Analyst?

AspectWeekday Energy Data AnalystWeekend Energy Data Analyst
CredentialsBachelor's in Data Analysis, Energy or related fieldBachelor's in Data Analysis, Energy or related field
Work EnvironmentStandard office hours, weekdaysFlexible hours, weekends possible
Industry UsageCommon in utility companies, energy firmsLess common, specialized for weekend shifts

The Weekday Energy Data Analyst typically works during regular business hours on weekdays, focusing on analyzing energy consumption data during peak operational times. In contrast, the Weekend Energy Data Analyst may work during weekends or irregular hours, often in roles requiring 24/7 monitoring. Both roles require similar credentials and are used within energy companies, but the main difference lies in their work schedule and shift timing.

What cities are hiring for Weekday Energy Data Analyst jobs? Cities with the most Weekday Energy Data Analyst job openings:
What are the most commonly searched types of Energy Data Analyst jobs? The most popular types of Energy Data Analyst jobs are:
What states have the most Weekday Energy Data Analyst jobs? States with the most job openings for Weekday Energy Data Analyst jobs include:
Weekday Energy Data Analyst jobs near you
Energy Data Analytics Lead

Energy Data Analytics Lead

LMI

Remote

$83K - $144K/yr

Other

Posted 9 days ago

Job description

Energy Data Analytics Lead

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 new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
  • 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.
Qualifications

Required:

  • 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.

Desired:

  • 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.

Target salary range: $83,367 - $144,404.55

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

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