Data Analytics Manager Jobs in Michigan
Data Analytics Manager jobs in Michigan are in active demand, concentrated in automotive technology, healthcare systems, financial services, and manufacturing intelligence, with openings at every level from data team lead through senior analytics director. Detroit, Grand Rapids, and Ann Arbor are the primary hiring centers, home to established employers like General Motors, Henry Ford Health, and Blue Cross Blue Shield of Michigan, all of which maintain dedicated analytics functions. The most sought-after specialties include predictive modeling, business intelligence infrastructure, and supply chain analytics tied to Michigan's industrial base. Find a role that fits below and apply directly.
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COMPANY DESCRIPTION
At AirLife, we are dedicated to improving the quality of every breath. Excellence with Every Breath is not just a tag line, but the way we work and take care of our customers. With a mindset to evolve, innovate, and grow, we are a premier manufacturer of the highest-quality and market-leading breathing consumables. This growth philosophy has positioned us to increase our global footprint and business reach, impacting even more people around the world. Our expanding family of the most trusted brands offers a product portfolio that spans the continuum of care from first responder to home care, with safety, patient comfort, and clinical performance in mind. Collective expertise allows us to provide quality products and experiences to our patients, customers, and our people. Our values of Customer first, Differentiate with our People, Bias for Action, Continuous Improvement and Accountability define who we are and how we work. Join us!
POSITION SUMMARY
The Sr. Analyst, Data Science will develop and manage data and reporting solutions that support multiple business functions at AirLife, with a strong commercial focus including sales operations, pricing, marketing, and finance. This role will place emphasis on driving the technological capabilities of the data analytics teams, including applying machine learning, statistical modeling, and forecasting to commercial questions such as demand planning, pricing optimization, and churn risk. Key responsibilities will include reconciling distributor tracings, contracts, and GPO affiliations to ensure data accuracy, alignment, and compliance across systems. Beyond reporting, the role will drive process improvement initiatives through optimization and automation to enhance efficiency and data reliability across commercial workflows, using experimentation and measurement to validate what works.
POSITION QUALIFICATIONS
Knowledge, Skills, & Abilities:
- Applying machine learning, statistical modeling, and forecasting techniques to business problems.
- Designing experiments and measuring outcomes to validate analytical solutions.
- SQL data modeling in a relational database.
- Power BI report development and deployment.
- Understanding general business processes and how reporting/automation can contribute to accurate decision making and increased efficiency.
- Good analytical and problem-solving skills.
- Establishes good working relationships with business users and other analysts to support the overall AirLife reporting culture.
- Strong written and verbal communication skills
- Ability to work independently and as part of a team.
- Ability to work in a fast-paced environment, balancing multiple priorities, and ensuring high-quality outcomes.
- Knowledge of FDA and ISO guidelines is preferred.
Level of Experience:
- Experience building predictive models or forecasts in Python, R, or similar.
- Experience with Power BI, Power Query or other business intelligence tools.
- Experience with SQL, Python, R or other programming tools.
- Experience with project management lifecycles.
- Experience with general business processes, requirements gathering and report building.
Level of Education:
- Bachelor's degree or equivalent combination of education and experience.
- Bachelor's degree in information science, data management, computer science or related field preferred.
Travel:
- Less than 10%.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Develops and deploys machine learning models, statistical analyses, and forecasts to support commercial decision making, including demand planning, pricing optimization, and churn risk.
- Creates and maintains reporting for key business users, primarily through Power BI and Excel. This includes being part of the entire report development process from requirements gathering, data modeling, development, deployment and ongoing maintenance.
- Project manage key data analytics initiatives by leading requirements gathering, coordinating stakeholders, managing timelines, and delivering solutions.
- Find opportunities to help business users and increase efficiency throughout the business, including through automation and predictive analytics.
- Understand and communicate with business users about new and existing reports, general AirLife data and AirLife business processes.
- Works as an SME of our data and tools to help inform business users on options and best practices to support their functions.
OTHER RESPONSIBILITIES
- Uphold and embody AirLife’s values in all aspects of work.
- Demonstrate accuracy and thoroughness in daily work; look for ways to improve and promote quality & safety.
- Inspire the trust of others; treat people with respect and dignity and embrace the value of diversity.
- Use time efficiently; perform job accurately, thoroughly, and conserve Company resources to improve profits.
- Contribute to building and maintaining a positive team environment.
- Assure all policies and guidelines are implemented and followed.
QUALITY POLICY
At AirLife, Quality is our promise. It is our commitment to customer satisfaction and our dedication to product excellence in an evolving global healthcare market. This promise is kept through a continuously improving and effective Quality Management System and compliance to Regulatory Requirements.
DEIA STATEMENT
At AirLife, we are committed to building a diverse workforce and an inclusive workplace that reflects the communities and customers we serve. We believe our philosophy on Diversity, Equity, Inclusion, and Advancement (DEIA) encourages excellence and equips us to serve an evolving global marketplace.
BENEFITS
AirLife offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k), paid time off, paid holidays, bereavement leave, Employee Assistance Program resources, and medical leave benefits, subject to applicable eligibility requirements. Certain positions may also be eligible for bonus, commission, or other incentive compensation.
Please note: The responsibilities outlined above are not exhaustive and may evolve over time. The role holder may be required to undertake additional duties as reasonably expected to meet the needs of the company.
See All 50 Data Analytics Manager Jobs in Michigan
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Find Data Analytics Manager JobsData Analytics Manager Jobs by City in Michigan
Where Michigan roles are concentrated, by current openings.
Data Analytics Manager Job Market in Michigan
A snapshot from current Michigan openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Insurance
- Technology & Software
- Distribution & Wholesale
What Michigan Employers Look For
The qualifications that appear most often in data analytics manager jobs across Michigan.
- Bachelor's or master's degree in data science, statistics, business analytics, or a related field
- Five or more years of experience in data analytics with at least two in a leadership role
- Proficiency in SQL, Python, or R alongside BI tools such as Tableau or Power BI
- Demonstrated ability to translate complex data findings into actionable business recommendations
- Experience managing cross-functional teams and aligning analytics strategy with business goals
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud in an enterprise setting
Data Analytics Manager Jobs in Michigan: Frequently Asked Questions
How do you become a data analytics manager in Michigan?
There is no state-issued license required to work as a data analytics manager in Michigan. The standard path begins with a bachelor's degree in data science, statistics, computer science, or business analytics, followed by several years as an analyst or senior analyst. Michigan employers, particularly in automotive, healthcare, and finance, typically promote into management roles or recruit candidates who combine technical depth with project leadership experience. Earning a certification such as a Certified Analytics Professional credential can strengthen a candidacy.
How much do data analytics managers make in Michigan?
Data analytics managers in Michigan earn a median of about $100,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $60,830 for the lowest 10% to over $162,670 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics managers in Michigan?
Employers hiring data analytics managers in Michigan right now include Ford Motor Company, KLA, and Stryker, based on current listings on Migrate Mate as of November 2026. Michigan's concentration of automotive OEMs, large health systems, and regional financial institutions means analytics leadership roles appear consistently across both corporate headquarters and major regional campuses.
Which Michigan cities have the most data analytics manager jobs?
Dearborn, Detroit, and Grand Rapids account for the largest share of data analytics manager openings in Michigan. Detroit and its suburban corridor drive volume through automotive technology and financial services headquarters, while Ann Arbor's concentration of university-affiliated health systems and research-driven companies and Grand Rapids' growing health and manufacturing sectors pull significant hiring outside the main metro.
Are there remote data analytics manager jobs in Michigan?
Yes, and more than most fields. About 71% of data analytics manager openings tied to Michigan are remote or hybrid as of November 2026, reflecting how readily the core work of analytics leadership translates to distributed settings. Strategy sessions, model reviews, and stakeholder reporting are the functions most commonly performed fully remote, while roles tied to embedded operations teams in automotive or manufacturing often require hybrid presence.
How can I get hired as a data analytics manager in Michigan with little or no experience?
The most realistic path is moving into a junior analyst or business intelligence analyst role first, then building toward management. Large Michigan employers like Henry Ford Health, Blue Cross Blue Shield of Michigan, and General Motors run rotational analyst programs and new-graduate development tracks that give early-career candidates structured exposure to analytics work. Lateral moves from operations analysis, financial reporting, or supply chain coordination are common entry points. Building a portfolio of independently completed projects and earning a recognized analytics certification will give a candidate a measurable edge in Michigan interviews.
Where can I find and apply to data analytics manager jobs in Michigan?
You can find and apply to data analytics manager jobs in Michigan on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that fit your background and target location, and apply directly to the employers posting them.
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