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Data Modeling Jobs in Wisconsin (NOW HIRING)

The ideal candidate will have a deep understanding of data engineering and data modeling principles, with a proven track record of designing, implementing, and maintaining robust, scalable data ...

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Kenosha, WI · On-site

$113K - $136K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Racine, WI · On-site

$107K - $128K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Menomonie, WI · On-site

$113K - $135K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Whitewater, WI · On-site

$112K - $135K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Green Bay, WI · On-site

$111K - $133K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Senior Data Scientist

Madison, WI · On-site

  • Medical

  • Life

  • Retirement

  • PTO

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

Senior Data Scientist

Madison, WI

  • Medical

  • Life

  • Retirement

  • PTO

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

WI · On-site

$130 - $190/hr

Ensure models support healthcare-specific requirements (clinical, claims, provider, member, etc.).* Design and oversee data integration processes (ETL/ELT pipelines) to enable seamless data flow ...

Data Analyst, Data Intelligence

Stevens Point, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong understanding of data models, structures, theories, principles, and practices. * Proficiencyworking with stakeholdersto gatherrequirements,understandprocessand translatethemtodataand create ...

Staff Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Key ResponsibilitiesArchitect and own scalable, resilient data pipelines and platformsLead design decisions for data ingestion, transformation, and storageEstablish best practices for data modeling ...

Showing results 21-40

Data Modeling information

See Wisconsin salary details

$10

$59

$83

How much do data modeling jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data modeling in Wisconsin is $59.26, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $68.89 per hour, depending on experience, location, and employer.

What is a data modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What are the key skills and qualifications needed to thrive in data modeling, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.
Infographic showing various Data Modeling job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,265 per year, or $59.3 per hour.

Strategic Data Analyst, Growth & Placement

Acrisure

Stevens Point, WI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

Strategic Data Analyst, Growth & Placement

Austin, TX | Grand Rapids, MI (Onsite 4 days per week)

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

About Acrisure

Acrisure is a global fintech leader empowering millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringing cutting-edge technology and top-tier human expertise together, we connect clients with customized solutions across 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 billion and employs over 19,000 colleagues in more than 20 countries.

The Role

Acrisure's Growth & Placement Analytics team supporting the executive leadership of our North America Insurance business operates at the intersection of data and business strategy, translating complex data assets into decisions that drive revenue and operational performance. As a Strategic Data Analyst on the Growth & Placement analytics pod, you will work directly alongside a small, high-visibility team that serves Acrisure's most senior executive stakeholders - including members of the C-suite.

This is an analyst role first, but not a narrow one. You will be expected to go beyond what the data says and communicate what it means: surfacing critical nuances, articulating data limitations with precision, and connecting analytical findings to Acrisure's business priorities. Your outputs will range from executive-facing decks and written narratives to self-service dashboards, often in the same week.

Alongside your analytical work, you will also engage meaningfully with the technical layer beneath your insights. Acrisure is investing significantly in its data infrastructure, most visibly through the adoption of Palantir Foundry as our enterprise analytics and application platform - and you will be an active contributor to how the underlying data assets are shaped, modeled, and made trustworthy. You should be as comfortable extending a dbt model or a Palantir Ontology object as you are drafting an executive memo. If you view the boundary between analytics and analytics engineering as porous rather than fixed, you will thrive here.

This is a growth-stage role on a team that is still defining how it operates. You will have meaningful influence over how the function takes shape, and you will report closely enough to executive leadership that your work will be visible from day one.

How You'll Drive Impact

  • Translate complex, multi-source datasets into concise executive narratives that communicate not just findings but implications and data limitations - giving leadership the context to act with confidence.

  • Develop and maintain analytical deliverables including executive-facing presentations, insight memos, and self-service dashboards, calibrating the format to the audience and urgency of the question.

  • Write sophisticated queries against Palantir Foundry Ontology to extract, transform, and validate data from core operational tables and dbt models.

  • Contribute to the analytics engineering layer that underpins your work: extend dbt models where needed, help stand up new data pipelines, and shape how Palantir Foundry is used to surface insights across the team.

  • Partner with senior stakeholders, including the Chief Strategy Officer, Head of Revenue, and other executive leads to understand their data questions, pressure-test assumptions, and deliver analysis that earns trust.

  • Uphold data modeling best practices in the work you touch: clear documentation, version control via Git, incremental build strategies, and data quality validation.

  • Identify gaps and inconsistencies in data and proactively surface them rather than papering over them - intellectual honesty is a core expectation of this role.

  • Leverage AI tools (Claude, Palantir AI FDE, Gemini, and others) to accelerate both analytical and engineering work, while applying rigorous critical evaluation to any AI-generated output before it informs a business decision or ships to production.

You May Be a Fit If You Have

  • 4-6 years of professional experience in data analytics, analytics engineering, business intelligence, or a strategy-adjacent analytics role.

  • Strong command of SQL you are comfortable writing complex queries involving window functions, CTEs, and multi-table joins, and you can read and debug queries you didn't write.

  • Hands-on experience with dbt or Palantir for data modeling - you understand the mechanics of models, tests, documentation, and incremental materialization strategies - or equivalent data modeling experience in another modern data warehouse environment.

  • Comfort working with a modern cloud data warehouse.

  • A demonstrable ability to communicate analytical findings to non-technical executive audiences - in writing, in decks, and in conversation.

  • The intellectual honesty to say 'the data doesn't fully answer this question, and here's why' and to make that observation useful rather than deflating.

  • Experience with a BI or visualization tool (Tableau, Power BI).

  • A genuine interest in learning Palantir Foundry and the intellectual openness to develop deep expertise as part of your growth on the team.

  • Comfort operating in ambiguity with a small, fast-moving team where the scope of your role will evolve as the function matures.

  • A skeptic's relationship with AI tools - you use them, you benefit from them, but you verify their outputs rather than accepting them at face value.

  • A bachelor's degree in a quantitative or analytical field, or equivalent professional experience.

Nice to Have

  • Direct experience with Palantir Foundry, even tangential exposure is valued.

  • Python proficiency, particularly for data transformation, pipeline orchestration, or scripting.

  • Exposure to insurance, financial services, or other complex B2B commercial environments.

  • Prior experience presenting findings directly to senior leadership audiences.

  • Exposure to agile development practices, Git-based workflows, and project tracking tools like Jira.

Benefits and Perks

  • Competitive compensation

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

  • Medical, Dental, 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

  • FSA, HSA, and commuter benefits options

  • Paid maternity leave, paid paternity leave, and fertility benefits

  • Career growth and learning opportunities

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 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.

Acrisure is an Equal Opportunity Employer.

At Acrisure, we firmly believe that an inclusive workforce drives innovation, creativity, and ultimately, our collective 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 a sincerely held religious belief, in accordance with applicable laws. If you need to inquire about an accommodation, or need assistance with 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 will be required to complete post-offer verification processes related to the role and in accordance with applicable laws.

Recruitment Fraud:Please visit here to learn more about ourRecruitment 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 next great opportunity with 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 be obligated to pay a referral fee. This includes resumes submitted directly 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.