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Data Analyst Jobs in Wisconsin (NOW HIRING)

WI Β· On-site

Your Opportunity The Data Analyst owns analysis delivery across the business, spanning Acquisition, Clinical Operations, Revenue, Product and Supply. This is the second position in the analytics ...

New

Data Analyst

Milwaukee, WI Β· On-site

$25 - $30/hr

This role works closely with cross-functional teams to analyze data, support operational decision-making, and contribute to continuous improvement initiatives across the supply chain.

WI Β· On-site

Als Data Analist help je onze organisatie betere beslissingen nemen door data om te zetten in heldere inzichten. Je werkt met een moderne data stack (SQL, Power BI,...) en krijgt veel autonomie om ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

WI Β· On-site

The Data Analyst makes sense of past and present data for end consumers. The Data Analyst curates and deploys reporting and business intelligence solutions to empower data consumers with actionable ...

WI Β· On-site

Als Data Analyst speelt u een cruciale rol in het ontwerpen, leveren en onderhouden van hoogwaardige dataoplossingen voor AML-processen, waarbij u zorgt voor compliance, efficiΓ«ntie en ...

The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science function. The analyst turns the Firm's data, client data, and the extensive internal data the Firm ...

The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science function. The analyst turns the Firm's data, client data, and the extensive internal data the Firm ...

Sr. Data Analyst

Waukesha, WI

$86K - $108K/yr

Sr. Data Analyst Location: 1, Waukesha, WI, ATSCount Job Category: Information Technology Services, Staff Employee Type: Administrative Staff At Carroll University, we are committed to identifying ...

WI Β· On-site

$78K - $99K/yr

Gritter Francona is looking for a Senior Data Analyst to provide advanced data analytics and project management support for federal healthcare initiatives. The analyst will collect, analyze, and ...

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Showing results 1-20

Data Analyst information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do data analyst jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data analyst in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Wisconsin?

The most popular types of Data Analyst jobs in Wisconsin are:

What job categories do people searching Data Analyst jobs in Wisconsin look for?

The top searched job categories for Data Analyst jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Analyst jobs?

Cities in Wisconsin with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Wisconsin as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $83,413 per year, or $40.1 per hour.

Data Analyst

WI β€’ On-site

Other

Medical, PTO

Posted 3 days ago

New


Job description

About Sunrise Group

Sunrise Group is building the future of sleep health by combining breakthrough technology with expert care. We started in 2015 with a straightforward idea: sleep diagnosis should happen in the comfort of your own home, not in a hospital. To make that possible, we created a first-of-its-kind chin sensor, carefully validated through clinical research, reviewed by leading sleep experts, and cleared by the FDA.


Since then, Sunrise Group has grown from a single innovation into a complete sleep health company. We now design advanced diagnostic and treatment solutions, and we deliver care directly to patients through Dreem Health, our digital sleep clinic. By serving patients in all 50 states with reimbursed care, we are making sleep treatment more accessible, more personal, and much simpler than it has ever been.


Your Opportunity

The Data Analyst owns analysis delivery across the business, spanning Acquisition, Clinical Operations, Revenue, Product and Supply. This is the second position in the analytics function, and a generalist one. Requests arrive from different teams as open questions, and the role is responsible for scoping them into defined analytical problems, producing the analysis, and turning the insights into a recommendation the business can act on.


Beyond the analyses themselves, the role builds and maintains the data model and the BI layer: the datasets and dashboards that let stakeholders track and report on their own work independently. That self-sufficiency is a deliberate objective to keep the analytics team focused on exploratory and investigative work. Metric definitions and modeling standards are maintained collaboratively within the team, so numbers stay consistent wherever they are used. The role also occasionally touches the data pipelines feeding those datasets, setting up new ones so the data exists, improving existing ones, or investigating transformations that fail.


As Data Analyst, here's what you'll do:



  • Operations and growth analysis: Analyze the end-to-end patient funnel to identify bottlenecks and quantify improvement levers. Design and interpret experiments to measure the impact of operational and commercial changes.

  • Product analysis: Analyze the patient journey at each step to identify friction points, quantify opportunities, and support product prioritization decisions.

  • Financial analysis: Analyze revenue, margin and reimbursement performance to support prioritization of business initiatives.

  • Data modeling: Develop and maintain transformation models in PostgreSQL and SQLMesh. Gather business logic directly from process owners and represent it accurately in the shared semantic layer.

  • BI and reporting: Build, maintain and document dashboards and datasets. Enable stakeholder self-service for recurring questions.

  • Metric documentation: Ensure every metric produced has an accurate definition, formula and known caveats recorded.

  • Stakeholder collaboration: Partner with Acquisition, Clinical Operations, Revenue Cycle, Product, Supply and Finance to gather requirements, agree scope, and communicate findings to non-technical audiences.

  • Data quality: Identify and investigate data quality issues affecting analysis, fixing or escalating them as needed. Validate outputs before publication.


What You Bring

  • Bachelor's degree in a quantitative or technical field, or equivalent work experience

  • 2 to 5 years of experience as a Data Analyst, ideally in high-growth or operationally complex environments

  • 2+ years of hands‑on experience with PostgreSQL

  • Basic working knowledge of Python

  • Proven ability to translate business questions into analytical frameworks and deliver insights that drive action

  • Rigor in drawing conclusions, and in communicating their limitations

  • Strong communication skills and the ability to explain complex technical concepts to non‑technical stakeholders

  • Ability to work independently in a distributed, asynchronous environment

  • Genuine interest in sleep, health, and helping people better understand and improve their well‑being

  • Written and verbal fluency in English


What Makes You Stand Out

  • Experience with a SQL transformation framework (SQLMesh, dbt or equivalent) and version control with Git

  • Experience with Apache Superset or comparable data visualization platforms

  • Experience with Posthog or comparable product or event analytics tools

  • Exposure to US healthcare data: payers, coverage status, revenue cycle

  • Experience designing or analyzing experiments

  • Prior experience in a startup or scale‑up

  • Written and verbal fluency in French


More than just skills, we're looking for someone engaged and passionate about transforming sleep care with us.


About our Team

At Sunrise Group, we’re tackling real sleep health challenges that affect millions. We keep things clear and simple , value trust and collaboration , and lead with optimism and compassion . These values guide everything we do. If you’re looking for the autonomy to take ownership of your work, make an impact, and be part of a team where ideas move fast and everyone has a voice, Sunrise might just be the right fit.


What We Offer

  • Meaningful work that directly improves patients' lives

  • Be part of an international team across the US, France and Belgium

  • Comprehensive health coverage

  • Generous vacation allowance + public holidays

  • Flexible working arrangements

  • Office perks and team events


We hire humans, not bullet points. Don’t meet every single qualification? That’s okay. We care more about who you are than what’s on your CV. We’re looking for people who are curious, resourceful, and ready to roll up their sleeves β€” especially if you’re excited about building something new in healthcare.


Dreem Health / Sunrise is an Equal Opportunity Employer. We welcome people of all backgrounds and are committed to building a workplace where everyone feels included and respected. We do not tolerate discrimination or harassment of any kind.

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