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Applied Statistics Jobs in Wisconsin (NOW HIRING)

Ra

Marketing Analytics Manager

Milwaukee, WI · On-site

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

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline. * 3-5 years of relevant ...

Milwaukee Tool

Sr Design Engineer

Brookfield, WI · On-site

Strong foundation in process control and applied statistics, including capability metrics, variation reduction, and experimental design. * Ability to think at the system levelby showing ...

Milwaukee Tool

Sr Design Engineer

Brookfield, WI · On-site

Strong foundation in process control and applied statistics, including capability metrics, variation reduction, and experimental design. * Ability to think at the system level by showing an ...

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All JobsApplied Statistics JobsApplied Statistics Jobs in Wisconsin

Applied Statistics information

See Wisconsin salary details

$40.9K

$84.4K

$118.1K

How much do applied statistics jobs pay per year?

As of Jul 17, 2026, the average yearly pay for applied statistics in Wisconsin is $84,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $117,100.00 per year, depending on experience, location, and employer.

Is AI replacing statisticians?

Applied statisticians use data analysis, modeling, and statistical tools to interpret data and inform decisions. AI can automate routine tasks and enhance data processing, but statisticians are needed to design experiments, validate models, and interpret complex results, making their role complementary rather than replaceable by AI.

What are typical projects or responsibilities for professionals in Applied Statistics?

Professionals in Applied Statistics can expect to work on projects involving data collection, cleaning, statistical modeling, and interpretation of results for practical applications in fields like healthcare, finance, marketing, or engineering. Daily responsibilities may include designing experiments or surveys, performing hypothesis testing, and creating actionable reports or presentations for non-technical audiences. Collaboration with multidisciplinary teams—such as data scientists, subject matter experts, and business leaders—is common to ensure data-driven solutions align with organizational goals. This diversity of tasks provides valuable learning experiences and opportunities for career growth into roles such as senior analyst, data scientist, or statistical consultant.

What do you do with an applied statistics degree?

An applied statistics degree prepares individuals for roles such as data analyst, statistician, or data scientist, involving data collection, analysis, and interpretation to support decision-making. Professionals often use tools like R, Python, or SAS and may work in industries such as healthcare, finance, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is an Applied Statistics job?

An Applied Statistics job involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field apply mathematical models, statistical software, and analytical reasoning to interpret data, make informed decisions, and optimize processes. They often work in sectors like healthcare, finance, marketing, and technology, providing insights and recommendations based on data trends.

What does applied statistics do?

Applied statistics involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field collect, interpret, and present data to support decision-making, often utilizing tools like statistical software and programming languages such as R or Python.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming, statistical software, and critical thinking. Professionals in this field are in demand across industries such as healthcare, finance, and technology, with opportunities for advancement and specialization. The role typically involves working with large datasets and applying statistical methods to solve real-world problems.

What are the key skills and qualifications needed to thrive in the Applied Statistics position, and why are they important?

To thrive in Applied Statistics, you need a solid background in statistical theory, data analysis, and mathematical modeling, typically with a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and often certifications in analytics or data science, is important. Strong analytical thinking, effective communication, and problem-solving abilities help set candidates apart. These skills ensure accurate analysis of complex data, meaningful interpretation for stakeholders, and valuable contributions to evidence-based decision making.

What are popular job titles related to Applied Statistics jobs in Wisconsin? For Applied Statistics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Applied Statistics jobs in Wisconsin look for? The top searched job categories for Applied Statistics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Applied Statistics jobs? Cities in Wisconsin with the most Applied Statistics job openings:
Applied Statistics jobs near you
Infographic showing various Applied Statistics job openings in Wisconsin as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $84,439 per year, or $40.6 per hour.

Marketing Analytics Manager

Ra

Milwaukee, WI • On-site

Full-time

Re-posted 17 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.

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