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Energy Data Analyst Jobs in Michigan (NOW HIRING)

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Energy Data Analyst information

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$29.6K

$72K

$118.5K

How much do energy data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for energy data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What does an energy data analyst do?

An Energy Data Analyst collects, processes, and interprets energy-related data to help organizations optimize energy usage, reduce costs, and improve efficiency. They work with large datasets, using statistical and analytical tools to identify trends, forecast energy consumption, and support decision-making. Their role is crucial in industries such as utilities, renewable energy, and manufacturing, where energy management directly impacts sustainability and profitability. Additionally, they collaborate with engineers, policymakers, and business leaders to implement data-driven energy strategies.

What are some typical projects or tasks an energy data analyst may work on during a normal week?

As an Energy Data Analyst, you can expect to work on projects such as forecasting energy demand, analyzing consumption patterns, identifying efficiency opportunities, and supporting sustainability initiatives with data-driven insights. Your daily responsibilities may include cleaning and processing large datasets, visualizing key trends, preparing regular reports for stakeholders, and automating data workflows. You will often collaborate closely with engineers, project managers, and business analysts to translate complex data into actionable strategies for operational improvement. This role offers a dynamic environment where analytical findings have a direct impact on business decisions and energy management outcomes.

What are the key skills and qualifications needed to thrive as an energy data analyst, and why are they important?

To thrive as an Energy Data Analyst, you need a strong analytical background in data modeling, statistical analysis, and knowledge of energy markets or systems, typically supported by a degree in engineering, mathematics, data science, or a related field. Proficiency with data visualization tools (e.g., Tableau, Power BI), advanced Excel, SQL, and programming languages like Python or R is highly valuable, and certifications in data analytics or energy management can be advantageous. Effective communication, attention to detail, and problem-solving abilities are essential soft skills for collaborating with cross-functional teams and presenting actionable insights. Mastery of these skills enables analysts to interpret complex energy data accurately, drive data-informed decision-making, and support organizational goals in a rapidly evolving industry.

What are the most commonly searched types of Energy Data Analyst jobs in Michigan?

The most popular types of Energy Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Energy Data Analyst jobs?

Cities in Michigan with the most Energy Data Analyst job openings:

Infographic showing various Energy Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Data Scientist, HC Analytics

Henry Ford Health System

Detroit, MI • On-site

Full-time

Posted 23 days ago


Henry Ford Health rating

7.0

Company rating: 7.0 out of 10

Based on 575 frontline employees who took The Breakroom Quiz

421st of 898 rated healthcare providers


Job description

GENERAL SUMMARY: 

The Data Scientist, Healthcare Analytics assists the Senior Data Scientist, Healthcare Analytics and other business analysts with working with business users to fully understand their needs for data science solutions. Works with a variety of data sources, both internal and external, big and small, structured and unstructured formats to build analytic models utilizing machine-learning techniques. Partners with the IT group to ensure that the data is sourced from the right location for data science model building. Participates in the development of project deliverables, especially documentation, for data science deliverables. As a team player, interacts with various other roles such as data engineers, business analysts and others. The Data Scientist, Healthcare Analytics solves analytical problems and develops cutting edge solutions to business problems. Should also be skilled at extracting, transforming, and analyzing data using a variety of common analytical tools and statistical techniques. Should be able to present findings in a compelling manner to both a business and non-technical audience. The position requires a team player that is eager to continue to learn and evolve with business needs and changes in the data and business environment. 

EDUCATION/EXPERIENCE REQUIRED: 

  • Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field. MS degree is preferred. 
  • Three plus (3+) years of professional work experience. 
  • Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry. 
  • Two plus (2+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS. 
  • Exposure of working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred. 
  • Advanced SQL skills working with RDBMSs such as Oracle, SQL Server, etc. 
  • Experience working with data visualization tools or Data Visualization Designers in Tableau or Power BI. 
  • Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask, D3, etc. used to tell the data story to business users to foster adoption of analytic outputs created preferred. 
  • Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling.
  •  Strong communication and presentation skills. Effective communication and storytelling skills. 
  • Energy and enthusiasm. Passion for learning and contributing to development. A true team player. Collaborative mindset for effective communication across teams.

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About Henry Ford Health

Sourced by ZipRecruiter

Henry Ford Health provides a full continuum of services from Primary and Preventative care, to Complex and Cpecialty care, Health Insurance, a full suite of home health offerings, Virtual care, Pharmacy, Eye care and other Healthcare retail. It is one of the Nation’s leading Academic Medical Centers, recognized for Clinical excellence in Cancer care, Cardiology and Cardiovascular Surgery, Neurology and Neurosurgery, Orthopedics and Sports medicine, and Multi organ transplants. Consistently ranked among the top five NIH funded institutions in Michigan, Henry Ford Health engages in more than 2,000 research projects annually. Equally committed to educating the next generation of Health Professionals, Henry Ford Health trains more than 4,000 Medical students, Residents and fellows every year across 50+ accredited programs. With more than 33,000 valued team members, Henry Ford Health is also among Michigan’s largest and most Diverse employers, including nearly 6,000 physicians and researchers from the Henry Ford Medical Group, Henry Ford Physician Network and Jackson Health Network.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1915