ZipRecruiter

Log In

1

Data Analyst Data Science Jobs in Wisconsin (NOW HIRING)

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$100K - $115K/yr

Bachelor's Degree in Computer Science, Information Technology, or related field, or an equivalent combination of education and experience * 5+ years of relevant data analyst experience * Advanced ...

Harley-Davidson

Mgr Data Science

Milwaukee, WI

Job Summary The Manger of Data Science will lead the development and implementation of predictive and prescriptive models as well as other advanced analytics solutions to support key business ...

Next Gen Alloys

Data Scientist

Cudahy, WI

ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI. As a Data Scientist your work may be focused in a variety ...

ATI

Data Scientist

Cudahy, WI

ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI. As a Data Scientist your work may be focused in a variety ...

Harley-Davidson

Mgr Data Science

Milwaukee, WI

Job Summary The Manger of Data Science will lead the development and implementation of predictive and prescriptive models as well as other advanced analytics solutions to support key business ...

Newance

Data Analyst

Brookfield, WI · On-site

This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm. Role Overview This position will serve multiple business lines ...

Carroll University

Sr. Data Analyst

Waukesha, WI · On-site

$86K - $108K/yr

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Mathematics, Statistics, or related field. 5+ years of experience in data analytics, business intelligence ...

MLG Capital

Data Analyst

Brookfield, WI · On-site

This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm. Role Overview This position will serve multiple business lines ...

MLG Capital

Data Analyst

Brookfield, WI

This is MLG's first-ever Data Analyst hire, supporting the modernization of reporting, analytics, and data operations across the firm. Role Overview This position will serve multiple business lines ...

Carroll University

Sr. Data Analyst

Waukesha, WI · On-site

$86K - $108K/yr

Education and/or Experience: • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Mathematics, Statistics, or related field. • 5+ years of experience in data ...

ATI

Data Scientist

Cudahy, WI · On-site

B.S. degree in computer science, engineering with a strong statistical and programming background. * Experience in deep learning, predictive modeling, data mining, and time series analysis.

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site

About the Role In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and ...

ULINE

Data Analyst

Milwaukee, WI · On-site

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

ULINE

Data Analyst

Kenosha, WI

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

ULINE

Data Analyst

Pleasant Prairie, WI · On-site

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

next page

Showing results 1-20

All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Wisconsin

Data Analyst Data Science information

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Wisconsin? For Data Analyst Data Science jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Wisconsin look for? The top searched job categories for Data Analyst Data Science jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Analyst Data Science jobs? Cities in Wisconsin with the most Data Analyst Data Science job openings:
Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Wisconsin as of June 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Data Analyst

Data Analyst

Rural Mutual Insurance

Madison, WI • Remote

$100K - $115K/yr

Full-time

Posted 10 days ago

Job description

Rural Mutual Insurance, one of the top 50 property and casualty companies in the nation, has been protecting what we value in Wisconsin for over 90 years and proudly continues that mission today. We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting solutions to drive sound business decision-making. This position requires deep expertise in Power BI, data modeling, and stakeholder engagement, along with the ability to contribute to broader data architecture and engineering initiatives.

  • This is a remote position.
  • Candidate must live and work in Wisconsin.
  • Requires eligibility to work in the United States without sponsorship.


At Rural Mutual Insurance, we offer a supportive work environment, career growth opportunities, and a comprehensive compensation package that includes health, dental, and vision insurance, a matching 401(k), and generous time off. We’ve earned consistent recognition as a Madison Magazine Best Places to Work, and an A+ AM Best financial strength rating. If you're ready to be part of a team that values your expertise and encourages your professional growth, apply today!

Compensation:

$100,000 - $115,000 yearly


Responsibilities:
  • Develop and maintain high-quality reports and dashboards using Microsoft Power BI
  • Gather and analyze technical requirements from stakeholders across the organization
  • Develop and maintain data models to support analytics, reporting, and self-service BI
  • Provide ongoing administration, tuning, and support for Power BI and related tools
  • Establish and promote standards for report design, data modeling, and data visualization
  • Collaborate with cross-functional teams to ensure data integrity, quality, and alignment across systems and reporting solutions
  • Analyze complex datasets to identify trends, risks, and opportunities, delivering actionable insights to business leaders
  • Support and influence data governance, documentation, and data quality initiatives
  • Contribute to the design and evolution of data architecture, including data transformations and pipeline development using tools such as dbt or similar frameworks
  • Mentor and guide less experienced analysts, fostering best practices in BI development and data modeling
  • Stay current with emerging trends and technologies in business intelligence, data engineering, and analytics

Qualifications:
  • Bachelor’s Degree in Computer Science, Information Technology, or related field, or an equivalent combination of education and experience
  • 5+ years of relevant data analyst experience
  • Advanced experience building scalable, insight-driven dashboards and reports using Microsoft Power BI or similar business intelligence tools, including performance optimization and troubleshooting
  • Strong understanding of data visualization best practices, including user experience (UX) design and storytelling with data
  • Experience developing and maintaining standards for report design, performance, and usability
  • Solid knowledge of data modeling techniques, including dimensional modeling and semantic layer design
  • Strong analytical skills with the ability to interpret complex datasets and translate findings into actionable insights
  • Proficiency in SQL for data extraction, transformation, and analysis.
  • Working knowledge of data warehousing concepts, including ETL/ELT processes, data pipelines, and layered data architectures.
  • Experience with data transformation tools (e.g., dbt)
  • Familiarity with cloud-based data platforms (e.g., Azure, AWS, Snowflake)
  • Understanding of version control tools (e.g., Git) and collaborative development practices is a plus
  • Candidate must live and work in Wisconsin
  • Eligible to work in the United States without sponsorship

About Company

What You'll Love About Rural Mutual Insurance:

We are a leading property and casualty insurance company based in Wisconsin, well known for our financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees.

We created a welcoming place to work with friendly and professional leadership. We are known for the great care we take with our staff, our agents, and our customers. We are passionate and determined about delivering the best customer service, preserving insurance industry knowledge, and making a difference through the work that we do.

We believe in a healthy work/life balance and, to that end, offer a competitive and comprehensive compensation package including health, dental, life, LTD, and vision insurance as well as an employee bonus plan, matching 401(k) plan, and generous time off benefits.