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Data Analytics Coordinator Jobs in Michigan (NOW HIRING)

... coordinates implementation whenever possible. The LeadCustomer Analytics may supervise tasks of ... Responsible for gathering and interpreting claims, clinical and administrative data to build ...

Participate in quarterly analytics reviews, weekly operational meetings, and vendor calls. * Assist ... Collaborate with Dealer Chat team leads, support staff, and coordinators on data and project ...

The Commercial Analytics team is looking for a Business and Data Analyst to join our team. Your ... coordination. Overview: Business and Data Analysts work closely with data engineers, data ...

This unmatched expertise of both vehicle systems and data analytics uniquely positions Control-Tec ... The Vehicle Coordinator is one of the main faces of Control-Tec to our external clients. The will ...

This unmatched expertise of both vehicle systems and data analytics uniquely positions Control-Tec ... The Vehicle Coordinator is one of the main faces of Control-Tec to our external clients. The will ...

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Data Analytics Coordinator information

What does a data analytics coordinator do?

A data analytics coordinator is responsible for collecting, analyzing, and interpreting data to support business decision-making. They often use tools like Excel, SQL, and data visualization software to identify trends and generate reports, ensuring data accuracy and clarity for stakeholders.

What is the difference between Data Analytics Coordinator vs Data Analyst?

AspectData Analytics CoordinatorData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Data AnalystBachelor's or master's in data science, statistics, or related; similar certifications often preferred
Work EnvironmentCollaborates with teams, manages data projects, supports data collection and reportingAnalyzes data, develops reports, interprets data trends for decision-making
Employer & Industry UsageUsed across industries like healthcare, finance, marketing; often in roles supporting data teamsCommon in tech, finance, healthcare; focused on data analysis and insights generation

While both roles require similar educational backgrounds and certifications, Data Analytics Coordinators typically focus on managing data projects and supporting teams, whereas Data Analysts primarily analyze data and generate insights. The roles often overlap, but the Coordinator role emphasizes project support and coordination within data teams.

Is data analytics a well paid job?

Data Analytics Coordinators typically earn competitive salaries that vary by industry, experience, and location. The role often requires skills in statistical analysis, data visualization tools, and programming languages like SQL or Python, which can contribute to higher compensation. Overall, data analytics is considered a well-paying field with strong job growth prospects.

How does a data analytics coordinator typically collaborate with cross-functional teams within an organization?

A Data Analytics Coordinator frequently works with various departments such as marketing, finance, and operations to understand their data needs and translate business questions into analytical projects. This role often facilitates communication between technical data analysts and non-technical stakeholders, ensuring that insights are actionable and aligned with business objectives. Effective collaboration involves attending regular meetings, managing project timelines, and providing data-driven recommendations to support decision-making across the organization.

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

To thrive as a Data Analytics Coordinator, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), database management systems (like SQL), and possibly certifications in analytics or business intelligence are typically important. Excellent communication, organizational abilities, and attention to detail help you translate complex data into actionable insights and coordinate with various teams. These skills are crucial for ensuring that accurate data drives strategic decisions and supports organizational goals.
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 Coordinator jobs in Michigan? For Data Analytics Coordinator jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Analytics Coordinator jobs in Michigan look for? The top searched job categories for Data Analytics Coordinator jobs in Michigan are:
What cities in Michigan are hiring for Data Analytics Coordinator jobs? Cities in Michigan with the most Data Analytics Coordinator job openings:
Infographic showing various Data Analytics Coordinator job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Product Owner Data & Analytics

GT Independence

Grand Rapids, MI • Hybrid

$90K - $110K/hr

Full-time

Re-posted 18 days ago


GT Independence rating

6.4

Company rating: 6.4 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

88th of 240 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 


What GT Independence employees say

Pay

Benefits

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