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Analytics Jobs in Michigan (NOW HIRING)

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role, you will be responsible for building and maintaining scalable analytics data pipelines ...

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All JobsAnalytics JobsAnalytics Jobs in Michigan

Analytics information

See Michigan salary details

$56.2K

$109.2K

$156K

How much do analytics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for analytics in Michigan is $109,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $129,900.00 per year, depending on experience, location, and employer.

What is analytics?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but it is considered a lucrative career option for those with strong analytical and technical skills.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What is analytics as a job?

A job in analytics involves collecting, analyzing, and interpreting data to help organizations make informed decisions. Analysts use tools like Excel, SQL, and data visualization software to identify trends and insights. Strong problem-solving skills and attention to detail are essential for success in this role.

What are the key skills and qualifications needed to thrive in analytics?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

What are the most commonly searched types of Analytics jobs in Michigan?

The most popular types of Analytics jobs in Michigan are:

What are popular job titles related to Analytics jobs in Michigan?

For Analytics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Analytics jobs in Michigan look for?

The top searched job categories for Analytics jobs in Michigan are:

What cities in Michigan are hiring for Analytics jobs?

Cities in Michigan with the most Analytics job openings:

Analytics jobs near you
Infographic showing various Analytics job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 5% Part Time, 1% Temporary, and 5% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $109,234 per year, or $52.5 per hour.

Power BI & Analytics Intern

East Penn Manufacturing - Deka Batteries

Ann Arbor, MI

Full-time, Internship

Posted 19 days ago

Job description

Navitas Systems LLC, a leader in comprehensive energy storage solutions, was formed in 2011 with the merger of MicroSun Innovative Energy Storage Solutions and MicroSun Electronics, and the acquisition of lithium battery company A123 Systems’ Government Solutions Group. In 2019, East Penn Manufacturing, one of the world’s leading battery manufacturers, acquired majority interest in Navitas Systems. In SEVEN remarkable decades, East Penn has grown from a one-room shop with a product line of five automotive batteries to one of the world’s leading battery manufacturers with over 10,500 full-time employees, 515 product designs, operations around the world, and hundreds of awards for industry excellence.

At our Navitas facilities we engage in the research, design, development, and manufacture of advanced lithium cells and energy storage products and systems for both commercial customers and U.S. Government/military customers. We invest in our people, they are and always will be the heart of this company. Are you ready to join a family-owned enterprise committed to honoring the contributions of everyone? Then Navitas is the right place for you.


We are seeking a detail-oriented and analytical Power BI & Analytics Intern to join our BIS (Business Intelligence & Systems) team. The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports that provide key business insights to internal stakeholders across manufacturing, supply chain, finance, quality, and operations.

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, ETL development, and real-world data problem solving in a fast-paced manufacturing environment. The intern will work directly with the BIS team and collaborate with leaders across the company to deliver solutions that drive measurable business impact.

Working hours will be scheduled around the intern's class schedule, but must be the same days and hours each week. The intern is expected to confirm their weekly schedule with their manager within two weeks of their start date.***Candidate must be lawful permanent resident or US Citizen and be able to work on site in Ann Arbor, MI


  • Assist in designing and developing interactive Power BI dashboards, reports, and visualizations that surface key business metrics to internal stakeholders.
  • Clean, transform, and analyze large datasets from various sources including SQL Server, Excel, SharePoint lists, and other enterprise systems.
  • Collaborate with business units, IT, and BIS team members to gather requirements, clarify data needs, and deliver visualizations that drive decision-making.
  • Support the development of data models (star schema), DAX measures, and standardized business metrics aligned to the company scorecard and metric glossary.
  • Contribute to data pipelines, ETL processes, and automation efforts under guidance from senior BIS team members.
  • Perform data validation, reconciliation, and troubleshooting on existing reports to ensure accuracy and reliability.
  • Document datasets, transformations, business logic, and processes; contribute to best practices in dashboard design, data governance, and lineage tracking.
  • Use Jira to manage work items, track progress, and collaborate with the team; publish documentation and updates to SharePoint.

Required
  • Currently pursuing a Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Engineering, Mathematics, Statistics, or a related field.
  • Must either be a US Citizen or have a valid green card
  • Working knowledge of Power BI (Desktop and Service), including report creation, data modeling, and basic DAX.
  • Basic knowledge of SQL Server and ability to write SELECT queries, joins, filters, and aggregations.
  • Familiarity with Microsoft SharePoint for document management and collaboration.
  • Familiarity with Jira (or similar work management tools) for tracking tasks and stories.
  • Strong proficiency in Microsoft Excel (formulas, pivot tables, Power Query).
  • Strong analytical and problem-solving skills with high attention to detail.
  • Effective written and verbal communication skills; able to translate business questions into data requirements.
  • Self-starter who can manage multiple priorities and work independently with guidance.
Preferred
  • Exposure to Power Query (M) and intermediate DAX measures.
  • Familiarity with ETL concepts, data warehousing, and star schema modeling.
  • Experience with Power Automate, Power Apps, or the broader Microsoft Power Platform.
  • Exposure to MES, ERP, or manufacturing data environments.
  • Coursework or projects involving data visualization, statistics, or business analysis.
  • Understanding of data governance, lineage, and metric standardization concepts.

Apply