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Prin Data Analyst

Job in Jackson, Jackson County, Michigan, 49203, USA
Listing for: CMS Energy, Corp.
Part Time position
Listed on 2026-03-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 85000 - 110000 USD Yearly USD 85000.00 110000.00 YEAR
Job Description & How to Apply Below

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Consumers Energy is Michigan’s largest energy provider, providing natural gas and/or electricity to 6.8 million of the state’s 10 million residents in all 68 Lower Peninsula counties. Consumers Energy knows job number one is to keep the lights on for customers. We are committed to delivering reliable, clean, and affordable energy to our customers 24/7.

This position is not eligible for immigration sponsorship, e.g., H-1B, TN, etc. Please do not apply if you will need immigration sponsorship for a work visa now or in the future, including sponsorship for H-1B, TN, etc., now or in the future. We are unable to hire individuals with CPT, OPT, or STEM OPT for this position as the position is not eligible for participation in the H-1B lottery program and is not eligible for current or future immigration sponsorship for a work visa.

Location:This position is onsite minimally 3 days a week at One Energy Plazalocatedin Jackson, MI. The selected candidate must be within a commutable distance or willing to relocate(relocation package is available for those that qualify).

General Summary of

Job Responsibilities

The Applications and Analytics team is at the heart of innovation, powering Michigan’s future by crafting cutting‑edge digital solutions that transform how our customers and communities experience energy.

Guided by our Digital First strategy, we harness modern technical practices and agile methodologies to ensure data and insights are accessible, reliable, and actionable, enabling evidence‑based decision‑making, operational efficiency, and innovation across the organization.

Join a dynamic team where collaboration, creativity, and impact converge!

We partner closely with business teams to uncover digital opportunities, prioritize high‑impact outcomes, and deliver trustworthy, user‑friendly technology. By embracing our CE Way principles—engaging on solutions, illuminating priorities, and minimizing waste—we build systems that are simple, helpful, and valuable. Ifyou’repassionate about innovation, community, and shaping a sustainable energy future, come grow with us at Consumers Energy!

The Principal Data Analyst is responsible for leading the development, enhancement, and maintenance of data analysis, reporting, and requirements gathering. This role leverages deepexpertisein specific data domains and organizational knowledge to ensure alignment with business strategy. The Principal Data Analyst serves as a mentor to other team members and provides advanced technical expertise to ensure data quality and accuracy. This position designs, processes, and presents data in ways that support informed decision‑making across the organization.

Additionally, the role supports the delivery of accurate, timely reporting that drives business strategies. The Principal Data Analyst partners with stakeholders across the enterprise and provides peer leadership and product expertise to the analytics team. They may also assume project management responsibilities to lead teams or large initiatives.

Essential Duties and Responsibilities
  • Serve as a subject matter expert across multiple data domains and establish standards for data models.
  • Lead cross‑functional collaboration to identify data needs, goals, and objectives; drive data investigation and analysis in support of key strategic initiatives.
  • Provide mentorship, guidance, and support to team members to foster collaboration and enhance overall team performance.
  • Propose, develop, and evaluate innovative solutions for analyzing, associating, and classifying data. Use data insights to recommend process improvements through presentations, reports, dashboards, and visualizations.
  • Collect, clean, and analyze data from various sources using statistical methods and tools such as SQL, Python, R, and Excel. Comfortable working in both on premises and cloud environments.
  • Apply understanding of data interactions within applications to troubleshoot issues, identify root causes, and recommend solutions.
  • Conduct complex statistical analyses and interpret results from advanced analytical methods.
  • Manage multiple projects to ensure timely,…
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