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Healthcare Data Analytics Jobs in Michigan (NOW HIRING)

Health Insurance or Healthcare industry preferred. Power BI. Milliman MedInsight. Claims data analytics. Experience with Epic preferred. Certifications/Licensures Required: Must meet or exceed core ...

Proficiency in data analysis and the use of population health management software * Reliable transportation Desired Qualifications * Bachelor's degree in Healthcare Administration, Public Health ...

Lead Data Scientist, Healthcare Analytics works with system leaders, business stake holders and business data analysts to fully understand their needs for data science solutions. Lead Data Scientist ...

Data Analyst Location:Detroit,MI Duration:Long Term OVERVIEW * The Data Analyst must be able to ... Aptitude, creativity, forward thinking and approach are key. * Healthcare industry knowledge is ...

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Healthcare Data Analytics information

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$47

$82

How much do healthcare data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for healthcare 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 are some typical challenges faced in a healthcare data analytics role?

Healthcare Data Analytics professionals often encounter challenges such as dealing with incomplete or inconsistent data, ensuring compliance with strict data privacy regulations like HIPAA, and integrating data from multiple sources. Maintaining data integrity while extracting meaningful insights requires analytical rigor and a thorough understanding of both healthcare workflows and data management best practices. Additionally, translating complex findings into actionable recommendations for clinical or administrative teams can be demanding but is key to driving improvements. Effective communication and a proactive approach to problem-solving help address these challenges and ensure impactful results.

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

To thrive in Healthcare Data Analytics, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, data science, or a related field. Experience with tools like SQL, Python/R, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is highly valuable. Problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present insights to non-technical stakeholders. These competencies are crucial for successfully leveraging data to improve patient outcomes and drive operational efficiencies in healthcare organizations.

What is a healthcare data analytics?

A Healthcare Data Analytics job involves collecting, processing, and analyzing healthcare data to improve patient outcomes, operational efficiency, and decision-making. Professionals in this role use statistical models, machine learning, and data visualization tools to identify trends and insights. They work with electronic health records (EHRs), claims data, and other medical datasets to support healthcare providers, insurers, and policymakers. This role requires knowledge of data analysis techniques, healthcare regulations (such as HIPAA), and industry-specific software.

How can I become a healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like Excel, SQL, and statistical software, along with understanding healthcare systems and data privacy regulations, is essential. Gaining relevant experience through internships or certifications can also improve job prospects.

What does a healthcare data analyst do in healthcare?

A healthcare data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports for healthcare providers and administrators.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with tools like SQL and Python, making it a promising career with increasing demand and job opportunities.
What are the most commonly searched types of Healthcare Data Analytics jobs in Michigan? The most popular types of Healthcare Data Analytics jobs in Michigan are:
What job categories do people searching Healthcare Data Analytics jobs in Michigan look for? The top searched job categories for Healthcare Data Analytics jobs in Michigan are:
What cities in Michigan are hiring for Healthcare Data Analytics jobs? Cities in Michigan with the most Healthcare Data Analytics job openings:
Infographic showing various Healthcare Data Analytics job openings in Michigan as of August 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 93% In-person, 5% Hybrid, and 2% Remote job distribution, with an average salary of $99,251 per year, or $47.7 per hour.

Product Owner Data & Analytics

GT Independence

Grand Rapids, MI • Hybrid

$90K - $110K/hr

Full-time

Re-posted 13 days ago


GT Independence rating

6.4

Company rating: 6.4 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

86th of 239 rated social care providers


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 


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