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Data Analyst Data Science Jobs in Wisconsin (NOW HIRING)

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

Competitive Rates, Benefits, Free Daily Lunch When Onsite Role Summary This Sr. Data Analyst role involves serving as a data scientist supporting marketing efforts for our Fortune 500 client. The ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

Fundamental concepts in data science and analytics * Understanding of SQL and relational databases * Experience in SQL Join and conditional flow statements is preferred * RStudio for programming ...

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and ... Experience with data analysis and reporting * Experience with Dev Ops * Knowledge of SQL and data ...

Fundamental concepts in data science and analytics * Understanding of SQL and relational databases * Experience in SQL Join and conditional flow statements is preferred * RStudio for programming ...

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and ... Experience with data analysis and reporting * Experience with Dev Ops * Knowledge of SQL and data ...

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and ... Experience with data analysis and reporting * Experience with Dev Ops * Knowledge of SQL and data ...

Data Analyst Apply now Description - External At TTEC, were all about the Human Experience. Elevated. As a Data Analyst working from office Krakow, Poland , you will be a part of creating and ...

Data Analyst

Madison, WI · On-site +1

$100K - $115K/yr

... 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 ...

Data Analyst

Milwaukee, WI · On-site

$100K - $115K/yr

... 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 ...

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 ...

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 ...

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 ...

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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:
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 Intelligence

Data Analyst, Data Intelligence

Acrisure

Stevens Point, WI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Data Analyst, Data Intelligence

Austin, TX (Onsite 4 days per week)

Note: This is a full-timeroleand we do not offer C2C or C2H employment and are not able to sponsor visas for this position.

About Acrisure

Acrisure Enterprise Technology Group is where humanexpertisemeets advanced technology.

A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringingcutting-edgetechnology and top-tier human support together, we connect clients with customized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services - and more.

In the last twelve years, Acrisure has grown in revenue from $38 million to almost$5 billionand employs over 19,000 colleagues in more than 20 countries. Acrisure was built on entrepreneurial spirit. Prioritizing leadership, accountability, and collaboration, we equip our teams to work at the highest levels possible.

The Role

The Data Intelligence team is chartered with advancing data driven decision making across Acrisure. Asa member of theData IntelligenceTeam,you willbe responsible forleading therequirementsgathering,design, implementation and delivery of reporting and analytics capabilitiesfor Finance and Accounting Business Functions.You will be comfortable working across a wide variety of people includingsenior executive leadership, analysts, program management, and technical team members.

Here are some of the ways in whichyou'llachieve impact:

  • Drive the development of efficient and reliable reporting and analytics capabilities with a customer-first mindset.

  • Advance the transition of users from legacy means of accessing information to the future state strategies of data enablement andself-service.

  • Create presentation/visualization of data to see beyond the numbers while transforming raw data into actionable insights and recommendations.

  • Identify, adopt, and evangelize dataanalysisbest practices and technical standards.

  • Advocate for andidentifycreative implementations tooptimizebusiness impact.

  • Empower others to grow understanding of the complexity of data by creatively scaling how teams' knowledge is shared and applied

  • Helpidentifybetter practices, tools, and relevant trends that can improve data quality across the business.

  • Design and build BI applications with embedded workflows that automate decision points and enable action directly from data - moving teams beyond passive reporting toward active, data-driven operations.

You may be a fit for this role if youhave:

  • 5+ years of industry experience as a Data Analystor Business Intelligence Professionalserving the finance and accounting business functions.

  • A passion for building remarkable things with data.

  • Demonstrated ability to bea datastorytellerand can go deep in buildingdata visualizationsand reportingusing third partytools(TableauandPowerBI).

  • Strong understanding of data models, structures, theories, principles, and practices.

  • Proficiencyworking with stakeholdersto gatherrequirements,understandprocessand translatethemtodataand create/evaluate associated KPIs.

  • Experience with SQL, Python,PowerBI,Tableau,dbt,BigQuery, Git,Palantirand data modeling

  • Demonstrated experienceleveragingAI tools for natural language querying, including crafting effective prompts to extract insights from data

  • Nice to have:Exposure to product management and/or experience building applications or data-driven tools

  • Experience with agile projectexecutionand business tools such as Jira&ServiceNow

  • Have excellent communication and leadership skills and can unpack complex problemsin order tofind solutions.

  • Ability to understand the business purpose or problem behind a request.

  • Positive & creative problem solving in the face of data challenges.

  • Flexibility to successfully multi-task in a fast-paced environment with a positive attitude.

  • Strong teamwork, solution-centric,and customer-service-oriented attitude.

  • Possess empathy, kindness towards others, a positive attitude, and self-awareness.

  • Have aBachelor's degree in Computer Science, Math,Statistics,Business,orrelatedfield, or equivalent experience.

#LI-austin

#LI-onsite

Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.

Benefits and Perks:

  • Competitive compensation

  • Generous vacation policy, paid holidays, and paid sick time

  • Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid)

  • Company-paid Short-Term and Long-Term Disability Insurance

  • Company-paid Group Life insurance

  • Company-paid Employee Assistance Program (EAP) and Calm App subscription

  • Employee-paid Pet Insurance and optional supplemental insurance coverage

  • Vested 401(k) with company match and financial wellness programs

  • Flexible Spending Account (FSA), Health Savings Account (HSA)and commuter benefits options

  • Paid maternity leave, paidpaternity leave, and fertility benefits

  • Career growth and learning opportunities

  • ...and so much more!

Please note: This list is not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Offerings may vary based on subsidiary entity or geographic location.

Making a lasting impact on the communities it serves, Acrisure has pledged more than $22 million through its partnerships withCorewellHealth Helen DeVos Children's Hospital in Grand Rapids, Michigan, UPMC Children's Hospital in Pittsburgh, Pennsylvania andBlythedaleChildren's Hospital in Valhalla, New York.

Acrisure is an Equal Opportunity Employer.

At Acrisure, wefirmly believethat an inclusive workforce drives innovation, creativity,and ultimately, ourcollective success.

We recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. Acrisure also has a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination.

Acrisure also provides reasonable accommodation to qualified individuals with disabilities or based on asincerely heldreligious belief,in accordance withapplicable laws. If you need to inquire aboutan accommodation, or needassistancewith completing the application process, please emailleaves@acrisure.com.

California residentscan learn more about our privacy practices for applicants by visiting the Acrisure California Applicant Privacy Policy available atwww.Acrisure.com/privacy/caapplicant.

Final candidates willbe requiredto complete post-offer verification processes related to the role andin accordance withapplicable laws.

Recruitment Fraud:Please visit here to learn more aboutourRecruitment Fraud Notice.

Welcome, your new opportunity awaits you.

There are amazing opportunities for talented people in every part of our business. We invite you to find your nextgreat opportunitywith us.

Executive Search Firms & Staffing Agencies

To Executive Search Firms & Staffing Agencies: Acrisure does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered Acrisure's property, and Acrisure will not beobligatedto pay a referral fee. This includes resumessubmitteddirectly to Hiring Managers without contacting Acrisure's Human Resources Talent Department.

#LI-onsite

#BI-onsite

Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.

Why Join Us:

At Acrisure, we're building more than a business, we're building a community where people can grow, thrive, and make an impact. Our benefits are designed to support every dimension of your life, from your health and finances to your family and future.

Making a lasting impact on the communities it serves, Acrisure has pledged more than $22 million through its partnerships with Corewell Health Helen DeVos Children's Hospital in Grand Rapids, Michigan, UPMC Children's Hospital in Pittsburgh, Pennsylvania and Blythedale Children's Hospital in Valhalla, New York.

Employee Benefits

We also offer our employees a comprehensive suite of benefits and perks, including:

  • Physical Wellness: Comprehensive medical insurance, dental insurance, and vision insurance; life and disability insurance; fertility benefits; wellness resources; and paid sick time.

  • Mental Wellness: Generous paid time off and holidays; Employee Assistance Program (EAP); and a complimentary Calm app subscription.

  • Financial Wellness: Immediate vesting in a 401(k) plan; Health Savings Account (HSA) and Flexible Spending Account (FSA) options; commuter benefits; and employee discount programs.

  • Family Care: Paid maternity leave and paid paternity leave (including for adoptive parents); legal plan options; and pet insurance coverage.

  • ... and so much more!

This list is not exhaustive of all available benefits. Eligibility and waiting periods may apply to certain offerings. Benefits may vary based on subsidiary entity and geographic location.

Acrisure is an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Applicants may request reasonable accommodation by contacting leaves@acrisure.com.

Final candidates will be required to complete post-offer verification processes related to the role and in accordance with applicable laws.

California Residents: Learn more about our privacy practices for applicants by visiting the Acrisure California Applicant Privacy Policy.

Recruitment Fraud: Please visit here to learn more about our Recruitment Fraud Notice.

Welcome, your new opportunity awaits you.