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Data Analytics Jobs in Michigan (NOW HIRING)

Workiva

Spring 2027 Intern - Data Analytics

Allendale, MI · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Kalamazoo, MI · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Kalamazoo, MI · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Flint, MI · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Warren, MI · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Ann Arbor, MI · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

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Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Michigan

Data Analytics information

See Michigan salary details

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$82

How much do data analytics jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data analytics in Michigan is $47.72, according to ZipRecruiter salary data. Most workers in this role earn between $38.37 and $54.04 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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

The most popular types of Data Analytics jobs in Michigan are:

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

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

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

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

What cities in Michigan are hiring for Data Analytics jobs?

Cities in Michigan with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Michigan as of September 2026, with employment types broken down into 8% Internship, 67% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,251 per year, or $47.7 per hour.

Product Owner Data & Analytics

Grand Rapids, MI • Hybrid

GT Independence
Health Care and Social Assistance • 201 - 500 employees
Learn more about GT Independenceexternal

$90K - $110K/hr

Full-time

Re-posted 21 days ago

GT Independence rating

6.1

Company rating: 6.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

Job description

Product Owner 

About the Role 

The Product Owner is responsible for translating GTI's Data & Analytics roadmap into clear, actionable requirements within a defined product domain. This role owns day-to-day backlog health, clarifies outcomes and acceptance criteria, and helps ensure teams are delivering work that supports business priorities, customer needs, quality, and regulatory commitments. 

The Product Owner partners closely with IT Development, Operations, Compliance, UX Research, Launch & Enablement, and other stakeholders to evaluate incoming requests, assess impact, support prioritization, and guide solutions from discovery through delivery. 

Location 

Hybrid (business and team presence as needed; flexibility based on candidate) 

Responsibilities 

  • Manage the backlog of reporting requests and balance requests against the Data & Analytics long-term roadmap. 
  • Break down approved roadmap initiatives into epics, features, user stories, requirements, and acceptance criteria. 
  • Conduct problem and solution discovery to refine requirements and scope, in partnership with Director of Product and UX Research. 
  • Coordinate with UX Research, data/analytics, operations, support, and compliance to validate requirements and solution intent. 
  • Own and maintain the product backlog for assigned domain, ensuring items are prioritized, refined, and ready for development. 
  • Partner with the Director of Product and stakeholders to assess roadmap candidates, tradeoffs, business value, urgency, risk, and dependencies. 
  • Triage and assess incoming requests, clarifying problem statements, scope, impact, and recommended next steps. 
  • Facilitate backlog refinement, sprint planning support, acceptance review, and ongoing requirement clarification for IT Development teams. 
  • Represent customer, operational, regulatory, and business needs in product decisions and backlog sequencing. 
  • Monitor delivery progress, surface risks or blockers, and help align stakeholders on changes to scope, timing, or priority. 
  • Support launch readiness by providing release context, target user impacts, acceptance criteria, and operational implications to Launch & Enablement. 
  • Use product metrics, feedback, incidents, and adoption signals to recommend backlog adjustments and continuous improvement. 

Requirements 

  • 3+ years of experience as a Product Owner, Business Analyst, Product Manager, or similar role in technology-enabled operations. 
  • Experience owning and delivering data or analytics products, including requirements definition, roadmap ownership, prioritization and execution in partnership with IT. 
  • General understanding of data architecture, data platforms, analytics, governance, and regulatory considerations in collaboration with Data & Analytics team. 
  • Proficiency with backlog management, agile delivery practices, and cross-functional product development. 
  • Demonstrated ability to assess business value, operational impact, regulatory considerations, dependencies, and implementation tradeoffs. 
  • Experience working with engineering, operations, compliance, support, and customer-facing stakeholders. 
  • Strong facilitation, written communication, and stakeholder alignment skills. 
  • Comfort working in complex, multi-state or regulated environments, preferred. 
  • Familiarity healthcare insurance programs (e.g., Medicaid), business administration, and enterprise platforms (e.g., ERP, claims, payroll, tax, customer-facing systems) preferred 
  • Experience with product/project tools such as Jira, Azure DevOps, Aha!, Productboard, or similar platforms. 
  • Analytical mindset with the ability to use data, feedback, and outcomes to guide prioritization. 
  • Customer empathy and systems thinking, with the ability to connect detailed requirements to broader product outcomes. 
  • Certified Scrum Product Owner (CSPO) or Project Management Professional (PMP) certification or similar experience preferred 

Reporting Structure 

Reports to: Manager of Product Operations 

Dotted-line alignment with: Director of Product 

Direct oversight of: None; coordinates assigned product domain stakeholders and delivery priorities 

What GT Independence employees say

Pay

Benefits

Hours and flexibility

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