1

Data Jobs in Middleton, WI (NOW HIRING)

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

Data Modeler

Madison, WI ยท On-site

$55.25 - $71.50/hr

Data Modeler Location: Hartford/ Windsor, CT Hire Type: Full Time Only - 1) Needs to know dimensional and/or operational/3NF/transactional modeling. 2) Needs to be able to focus heavily on data ...

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

Data Reviewer

Madison, WI ยท On-site

$35 - $43/hr

Job Title: Data Reviewer As a Data Reviewer, you will be responsible for reviewing data from validations and technology transfers of QC test methods for products and materials to ensure data ...

Data Reviewer

Verona, WI ยท On-site

$35 - $43/hr

Data Reviewer As a Data Reviewer, you will be responsible for reviewing data from validations and technology transfers of QC test methods for products and materials to ensure data integrity. You will ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Data Scientist

Madison, WI ยท On-site +1

$90K - $120K/yr

Polco is hiring a Data Scientist! Polco runs some of the most important local government performance databases in the country, including GPAL, which is a 'Bloomberg Terminal of local government ...

Polco is hiring a Data Scientist! Polco runs some of the most important local government performance databases in the country, including GPAL, which is a 'Bloomberg Terminal of local government ...

Polco is hiring a Data Scientist! Polco runs some of the most important local government performance databases in the country, including GPAL, which is a 'Bloomberg Terminal of local government ...

Data Architect

Oregon, WI ยท On-site

$62.50 - $80.50/hr

Data Architect Job Category: Science Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * The ...

New

Data Engineer

Madison, WI ยท On-site

$64K - $173K/yr

Position Summary The Data Engineer will be responsible for delivering high quality modern data solutions through collaboration with our engineering, analysts, data scientist, and product teams in a ...

New

Data Entry

Arlington, WI

$16.75 - $22.25/hr

1) Interacting With Computers -- Using computers and computer systems (including hardware and software) to program, write software, set up functions, enter data, or process information. 2) Evaluating ...

The Data Science & AI and Information Design & Engineering teams at Husch Blackwell build systems that transform data into actionable insights for better legal work. Projects are collaborative and ...

The Data Science & AI and Information Design & Engineering teams at Husch Blackwell build systems that transform data into actionable insights for better legal work. Projects are collaborative and ...

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 ...

You will be responsible for building and maintaining Rubick's data acquisition engine by extracting, validating, and structuring product information from eCommerce websites and marketplaces. This ...

next page

Showing results 1-20

Data information

See Middleton, WI salary details

$46.2K

$165.6K

$244.4K

How much do data jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data in Middleton, WI is $165,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,000.00 and $170,600.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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 solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

What job categories do people searching Data jobs in Middleton, WI look for?

The top searched job categories for Data jobs in Middleton, WI are:

What cities near Middleton, WI are hiring for Data jobs?

Cities near Middleton, WI with the most Data job openings:

Infographic showing various Data job openings in Middleton, WI as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $165,604 per year, or $79.6 per hour.

Data Scientist

Madison, WI โ€ข On-site

State of Wisconsin Investment Board
Finance and Insuranceย โ€ขย 201 - 500 employees

Full-time

Re-posted 10 days ago


Job description

Sophisticated Work. In a Great City. Making a Difference.
The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB's investment professionals are Chartered Financial Analyst (CFA) charterholders.
The City of Madison, the state capitol and home of Wisconsin's flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits.
Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.
Job Description:
About the Team
Data Services & Engineering Teams at SWIB supports, implements & develops industry-leading systems and platforms to support SWIB's diverse and complex set of investment portfolios and strategies. The team at SWIB strives to be a trusted advisor and partner to the business that is valued as a critical contributor to SWIB's continued growth and success. We effectively leverage technology to derive the maximum value from it and achieve SWIB's business goals. We keep technology aligned with SWIB's future direction and operate SWIB's technology according to industry standards.
Position Overview
  • Enable data-driven decision-making through innovative analytical solutions and models.
  • Convey complex data concepts to technical and non-technical stakeholders.
  • Utilize programming languages such as Python and SQL for data manipulation, analysis, and model development.
  • Apply artificial intelligence and machine learning techniques to enhance data analysis, predictive modeling, and decision-making.
  • Act as a liaison between investment personnel and the supporting infrastructure regarding business process change management (IT, Operations, Legal, HR, Strategic Planning, etc.)
  • Implements data quality frameworks and conducting data validation ensuring accuracy of analysis.
  • Develop and deploy models, utilizing techniques such as regression, classification, and clustering.
  • Create interactive visualizations (e.g. Power BI, Streamlit) to effectively communicate data findings.
  • Deploy data solutions in cloud environments (e.g. Azure, AWS).
  • Utilize data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives.

The ideal candidate:
  • Bachelor's degree or advanced degree in finance, business, engineering, computer science, computational economics, math, data science or a related program.
  • 1+ years of experience with data science, data analytics, investment analysis, or similar.
  • Proactively drives data-driven decision-making through innovative analytical solutions and models.
  • Exceptional verbal and written communication skills, adept at conveying complex data concepts to technical and non-technical stakeholders.
  • Proficient in programming languages such as Python, SQL, or R for data manipulation, analysis, and model development.
  • Experience applying artificial intelligence and machine learning techniques to enhance data analysis, predictive modeling, and decision-making.
  • Experience implementing data quality frameworks and conducting data validation ensuring accuracy of analysis.
  • Skilled in developing and deploying machine learning models, utilizing techniques such as regression, classification, and clustering.
  • Knowledge of cloud platforms (e.g. Azure, AWS) for data storage and processing, with experience in deploying data solutions in cloud environments.
  • Experience with data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives.
  • Experience deploying reports utilizing automated processes Continuous Integration and Continuous Deployment techniques (CICD).
  • Experience implementing testing tools and data quality metrics/processes to ensure overall data quality of reports that are supported and developed.
  • Superb work ethic, attention to detail, team orientation, collaborative disposition, and commitment to excellence.
  • Interest or experience in investment management, quantitative finance and technology. Progress toward or completion of the CFA designation is preferred
  • Ability to follow rigor in creating/updating documentation, maintain process (i.e. JIRA tickets) and following technology and business best practices.

SWIB Offers:
  • Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
  • Comprehensive benefits package
  • Educational and training opportunities
  • Tuition reimbursement
  • Challenging work in a professional environment
  • Hybrid work environment

The position requires U.S. work authorization.
Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office or the job position. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.
All SWIB employees are subject to SWIB's Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB's talent acquisition team and any questions can be answered by SWIB's compliance team.