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Analytics Jobs in Michigan (NOW HIRING)

The Consumer Analytics Senior Manager leads the analytics and insight engine that powers Wolverine Worldwide's digital commerce performance across brands and channels. This role translates consumer ...

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and rapidly growing company that's shaping the future? Welcome to ArcelorMittal Tailored Blanks (AMTB ...

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and rapidly growing company that's shaping the future? Welcome to ArcelorMittal Tailored Blanks (AMTB ...

Analyze product- and customer-level revenue and margin trends, pricing realization, customer concentration, rebate structures, and chargebacks common in life sciences distribution models * Assess ...

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and rapidly growing company that's shaping the future? Welcome to ArcelorMittal Tailored Blanks (AMTB ...

Technomics is a growing employee-owned, decision analytics company that specializes in cost and economic analysis to facilitate better decisions faster . We enable a wide range of clients across the ...

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Analytics information

See Michigan salary details

$56.2K

$109.2K

$156K

How much do analytics jobs pay per year?

As of Jul 6, 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 and what do analytics professionals do?

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 overall, data analysts and related roles tend to offer competitive salaries.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types based on their focus: business analysts, who interpret data to inform business decisions; operations analysts, who optimize processes; financial analysts, who analyze financial data; and marketing analysts, who evaluate marketing campaigns and customer data. Each type requires specific skills and tools, such as SQL, Excel, and data visualization software, to perform their roles effectively.

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 are the key skills and qualifications needed to thrive in Analytics, and why are they important?

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.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, providing insights, and making strategic decisions. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment still vital in the analytics field.

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.

Is 40 too late for data science?

The analytics field, including data science, values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge and relevant certifications, can help late entrants succeed. Age is less a barrier than acquiring the necessary technical skills and building a strong portfolio.
What are the most commonly searched types of Analytics jobs in Michigan? The most popular types of Analytics jobs in Michigan are:
What cities in Michigan are hiring for Analytics jobs? Cities in Michigan with the most Analytics job openings:
Infographic showing various Analytics job openings in Michigan as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $109,234 per year, or $52.5 per hour.

Manager, Data Science and Analytics

Starcom Mediavest Group Germany Gmbh

Birmingham, MI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

Company Description
Hi there-at Razorfish, we're leaders in what's next. Since the dawn of the internet, we've helped brands move first through every era of transformation, defining what digital means for business and now leading brands into the age of AI. Everyone has a prediction. Razorfish has a track record.
Named a Most Innovative Agency three years running (2024-2026) by Campaign US, our work reflects a proven ability not just to anticipate what's coming, but to help our clients actively shape the future. No matter the trend or cultural moment, delivering real business impact wouldn't be possible without our people. We bring together curious, driven, and diverse thinkers who challenge convention, push boundaries, and hold a high bar for creative excellence.
If you're motivated to work alongside top performers, push the boundaries of what's possible, and help define where technology, business, and marketing are headed next-this is the place to do it.
Join us at razorfish.com.
Job Description
We are looking for a results-driven Manager, Data Science and Analytics to drive end-to-end analytics initiatives and implement scalable solutions that drive business impact. This role requires a foundation in online media measurement and creative analyses. You'll partner closely with cross-functional team members.
Responsibilities
  • Drive performance measurement of online media, both pre- and post-click
  • Collect data from various sources and analyze performance metrics
  • Create reporting with a clear narrative based on supporting data, complete with recommendations for optimization
  • Present findings to internal and external stakeholders
  • Understand Razorfish data capabilities and how data fits into a client's overall strategy
  • Drive cross-capability projects and build close relationships with other disciplines
  • Identify appropriate SME to leverage when needed

Communication Skills
  • Considered a compelling, organized, and energetic presenter
  • Comfortable presenting to client leadership
  • Use clear, concise writing to communicate a compelling story, backed by data
  • Synthesize complex analytical findings articulately and concisely

Client Engagement
  • Seen as a key client partner by clients
  • Help clients see beyond current projects to longer-term opportunities
  • Display professional, articulate, and mature presence in all aspects of client relationship building
  • Understand how to document and respond to client feedback and recognize when to escalate issues or push back on a client
  • Understand and articulate client strategy
  • Sensitive to client needs and concerns and acts in the clients' best interest

Tools & Techniques
  • Google Campaign Manager 360 (or an equivalent)
  • Meta Ads Manager
  • Adobe Analytics and/or Google Analytics
  • Tableau and/or advanced Microsoft Excel

Analytics
  • Data Analysis
    • Hands-on data transformation and analyses
  • Insight Generation
    • Creating a clear narrative, with recommendations for creative optimizations, backed by data
  • Presentation
    • Presenting reports with insights and recommendations to internal and external stakeholders

Qualifications
  • 4+ years of experience in data science, advanced analytics, or related roles
  • Proven experience with site analytic tools, such as Adobe Analytics, Google Analytics, etc.
  • Fluency with online media infrastructure (campaigns, placements, ads, etc.) through Google Campaign Manager 360, including pre- and post-click analyses.
  • Strong data organization, with experience working with complex data taxonomies
  • Experience with data transformation through Tableau and/or Microsoft Excel.
  • Strong communication, presentation, and data storytelling skills

Additional Information
The Power of One starts with our people! To do powerful things, we offer powerful resources.
Our best-in-class wellness and benefits offerings include:
Paid Family Care for parents and caregivers for 12 weeks or more
Monetary assistance and support for Adoption, Surrogacy and Fertility
Monetary assistance and support for pet adoption
Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance
Tuition Assistance
Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more
Matching Gifts programs
Flexible working arrangements
'Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)
Business Resource Groups that support multiple affinities and alliances
The benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents.
Razorfish is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: USD $88,540.00 - USD $121,100.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 7/1/2026.