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Applied Analytics Jobs in Michigan (NOW HIRING)

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

... applied analytics in real-world environments.Hands-on experience building solutions with LLMs, AI agents, RAG, tool integration, orchestration, or automation frameworks .Strong programming skills ...

Manager, Applied AI Strategy and Operations Job Purpose: As a Manager, Applied AI Strategy and ... Structure analytical frameworks grounded in real customer signal-joining technical discovery ...

... analysis, partial differential equations, and complex analysis. Ability to explain modeling ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

... analysis, partial differential equations, and complex analysis. Ability to explain modeling ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

... analysis, partial differential equations, and complex analysis. Ability to explain modeling ... Familiar with applied mathematics curricula and common challenges such as translating physical ...

Data Scientist

Detroit, MI · On-site

$120 - $170/hr

Proficiency with SAS or R in an applied analytics environment. * Familiarity with automotive or VIN data and complex industry‑specific data structures. * Exposure to AI‑enabled analytics ...

Proficiency with SAS or R in an applied analytics environment * Familiarity with automotive or VIN data and complex industry-specific data structures * Exposure to AI-enabled analytics workflows or ...

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Applied Analytics information

See Michigan salary details

$8

$45

$69

How much do applied analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for applied analytics in Michigan is $45.55, according to ZipRecruiter salary data. Most workers in this role earn between $33.12 and $56.78 per hour, depending on experience, location, and employer.

Is applied analytics a good career?

Applied analytics is a growing field that involves using data analysis, statistical methods, and tools like SQL and Python to inform business decisions. It offers opportunities across industries such as finance, healthcare, and marketing, often requiring strong problem-solving skills and data visualization abilities. The career typically provides competitive salaries and demand for skilled professionals with relevant certifications or degrees.

What are the key skills and qualifications needed to thrive as an applied analytics professional?

To thrive as an Applied Analytics professional, you need strong quantitative skills, a background in statistics or data science, and often at least a bachelor’s degree in a related field. Proficiency with analytic tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI is typically required. Strong problem-solving abilities, effective communication, and the capacity to translate complex data insights into actionable business recommendations are standout soft skills. These competencies are crucial because they enable professionals to extract meaningful insights from data and drive informed decision-making within organizations.

What is applied analytics?

Applied analytics involves using data analysis, statistical models, and technology to solve real-world business problems and inform decision-making. Professionals in this field gather, process, and interpret large sets of data to uncover trends, predict outcomes, and improve organizational performance. Applied analytics is used in various industries like finance, healthcare, marketing, and logistics to optimize processes and drive strategic initiatives.

How does an applied analytics professional typically collaborate with other departments to drive data-informed decisions?

Applied Analytics professionals often work cross-functionally, partnering with teams such as marketing, operations, finance, and product development. They translate complex data findings into actionable insights tailored to each department's objectives, often presenting results in clear, accessible formats. Regular meetings and collaborative projects are common, ensuring that analytics solutions directly address business needs. This teamwork not only enhances the impact of data-driven recommendations but also provides valuable exposure to different aspects of the organization.
What are popular job titles related to Applied Analytics jobs in Michigan? For Applied Analytics jobs in Michigan, the most frequently searched job titles are:
Infographic showing various Applied Analytics job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $94,736 per year, or $45.5 per hour.

Marketing Analytics Manager

Ra

Detroit, MI • On-site

Full-time

Re-posted 9 days ago


Job description

Company Description

About Client:

They help in transforming the leading organizations and communities around the world. Organizations infrastructure and culture is amazing. Best place!!

Job Description

Job Title: Marketing Analytics Manager

Job Level: Mid - Senior Level


Job Description:

This is what you will do..

You will be using quantitative methods to assess the impact of offline and digital marketing.

You will be interacting with the client. 

You will be providing analyses, recommendations, presentations and advice to clients.

You will be doing project-based analytics which includes Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Pricing and Promotion and Demand Forecasting.

You will be leading a team and you will be responsible for team's growth.


We are looking for someone...

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.





Qualifications

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.



Additional Information

All your information will be kept confidential according to EEO guidelines.