ZipRecruiter

Log In

2

Full Time Business Analyst Data Science Jobs in Wisconsin

Hammes Company

Business Analyst

Milwaukee, WI · On-site

Bachelor's degree in computer science, data science, data engineering, business analytics, management information systems, or a related field. * At least one year of relevant experience preferred ...

Generac

Data Science Analyst

Waukesha, WI

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team. The Data Science Analyst is responsible for the ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... business analytical solutions leveraging data science, data engineering and decision science to ... Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2-4 years of in-depth and ...

Innovizant LLC

Data Scientist

Madison, WI

... business analytical solutions leveraging data science, data engineering and decision science to ... Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 years of in-depth and ...

Sun Life Financial

Director, Data Science

Milwaukee, WI · On-site

As a leader within the Business Analytics organization, this individual will build and develop a team of data scientists, foster innovation, establish analytical best practices, and ensure solutions ...

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture ... business scenarios. * The right candidate will be excited by the prospect of identifying and ...

Iatinsurancegroup

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ...

IAT Insurance Group

Business Data Analyst

Milwaukee, WI · On-site

$55K - $120K/yr

Elicit, analyze, and document business and data requirements from stakeholders across the insurance ... Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ...

TIER4 GROUP

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

... scientist supporting marketing efforts for our Fortune 500 client ... The role focuses on analyzing campaigns, understanding business processes, and distributing ...

Cliftonlarsonallen

Manager of Data Science

Hudson, WI · On-site

Translate business objectives into clear analytical and AI priorities, balancing near term delivery ... Experience in data analytics, statistics, data science, AI, financial consulting, computer science ...

CliftonLarsonAllen

Manager of Data Science

Hudson, WI · On-site

Translate business objectives into clear analytical and AI priorities, balancing near term delivery ... Experience in data analytics, statistics, data science, AI, financial consulting, computer science ...

Cliftonlarsonallen

Manager of Data Science

Racine, WI

Translate business objectives into clear analytical and AI priorities, balancing near term delivery ... Experience in data analytics, statistics, data science, AI, financial consulting, computer science ...

Aaratech

Business Analyst

Wausau, WI · On-site +1

$60K - $80K/yr

... Full-time (Contract or Contract-to-Hire) Experience Level: Mid to Senior-Level (3+ years ... data validation , and change management Prepare and maintain BRDs , FRDs , and other project ...

Aaratech

Business Analyst

Wausau, WI · On-site +1

$60K - $80K/yr

... Full-time (Contract or Contract-to-Hire) Experience Level: Mid to Senior-Level (3+ years ... data validation , and change management Prepare and maintain BRDs , FRDs , and other project ...

CSAA

... analysis, and programming, along with the ability to translate complex findings into clear business ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

CSAA

... analysis, and programming, along with the ability to translate complex findings into clear business ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

next page

Showing results 1-20

All JobsBusiness Analyst Data Science JobsFull Time Business Analyst Data Science JobsFull Time Business Analyst Data Science Jobs in Wisconsin

Full Time Business Analyst Data Science information

What is the difference between Full Time Business Analyst Data Science vs Data Analyst?

AspectFull Time Business Analyst Data ScienceData Analyst
Required CredentialsBachelor's in Business, Data Science, or related; often certifications in data analysis or business analysisBachelor's in Statistics, Data Analysis, or related; certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentBusiness settings, cross-functional teams, project-basedData-focused teams, reporting, data visualization tasks
Employer & Industry UsageFinance, healthcare, retail, consulting firmsMarketing agencies, finance, tech companies

Full Time Business Analyst Data Science roles focus on analyzing data to inform business decisions, often requiring a mix of technical and business skills. Data Analysts primarily handle data collection, cleaning, and visualization. While both roles involve data handling, Business Analysts Data Science typically engage in more complex modeling and strategic insights, making them suitable for roles requiring a broader understanding of business context.

What are popular job titles related to Full Time Business Analyst Data Science jobs in Wisconsin?

For Full Time Business Analyst Data Science jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Full Time Business Analyst Data Science jobs in Wisconsin look for?

The top searched job categories for Full Time Business Analyst Data Science jobs in Wisconsin are:

What cities in Wisconsin are hiring for Full Time Business Analyst Data Science jobs?

Cities in Wisconsin with the most Full Time Business Analyst Data Science job openings:

Full Time Business Analyst Data Science jobs near you
Infographic showing various Full Time Business Analyst Data Science job openings in Wisconsin as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Business Analyst

Hammes Company

Milwaukee, WI • On-site

Full-time

Posted 7 days ago

Job description

Join Our Team
Consider a career with Hammes if you are interested in being a part of a dynamic and entrepreneurial environment! We have been recognized as one of the Best Places to Work in Healthcare by Modern Healthcare.
Founded in 1991, Hammes is a vertically integrated real estate solutions platform. Our capabilities include real estate strategy and planning, project management, development, investment and property management for healthcare clients and other leading institutions. Hammes is consistently ranked as one of the nation's top healthcare developers by both Modern Healthcare's Construction & Design Survey and Revista's Outpatient Healthcare Real Estate Development Report.
Position Summary
The Business Analyst will support Hammes' business systems, reporting platforms, data initiatives, workflow automation efforts, and emerging AI initiatives. More specifically, this role will assist with Salesforce administration, business intelligence reporting, data analysis, data architecture, and process improvement projects. The Business Analyst will work closely with leadership, users, IT, and outside vendors to help improve data quality, strengthen reporting capabilities, support system adoption, and identify opportunities to use technology, automation, and generative AI to improve business processes.
By nature of this role, the ideal candidate should be curious, analytical, detail-oriented, and eager to learn. While prior professional experience is helpful, this position is intended for someone who demonstrates aptitude through coursework, internships, projects, certifications, or hands-on experience with data, analytics, systems, AI tools, or software development.
Principal Duties and Responsibilities
This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities, as management may deem necessary from time to time.
  • Supports the administration, maintenance, and enhancement of assigned business systems, including Salesforce, reporting platforms, data tools, automation solutions, and related applications.
  • Assists with Salesforce administration tasks, including user access, profiles, permissions, reports, dashboards, data updates, troubleshooting, documentation, and system configuration.
  • Helps develop and maintain reports, dashboards, datasets, and business intelligence assets that support leadership visibility, operational reporting, and business decision-making.
  • Supports data analysis and data preparation activities, including data extraction, cleanup, validation, reconciliation, transformation, and organization.
  • Assists with internal data initiatives, including data model development, dataflows, data warehouse or data lake projects, reporting documentation, and source-of-truth standards.
  • Works with business users and leadership to understand reporting needs, process challenges, data questions, and opportunities for system or workflow improvements.
  • Supports technology and process improvement projects by assisting with requirements gathering, process documentation, testing, deployment, training, and ongoing user support.
  • Assists with AI and automation initiatives by researching use cases, testing tools, documenting workflows, validating outputs, and identifying opportunities to reduce manual or repetitive work.
  • Serves as a developing resource for users by answering questions, preparing documentation, troubleshooting issues, and supporting adoption of systems and AI, reports, dashboards, workflows, and new tools.
  • Stays current on emerging tools and technologies related to Salesforce, Power BI, Tableau, Microsoft Fabric, Power Platform, generative AI, data analytics, and automation.
  • Performs other duties as required.

Knowledge, Skills & Abilities
The requirements listed below are representative of the knowledge, skills, and abilities required to perform this job successfully.
  • Bachelor's degree in computer science, data science, data engineering, business analytics, management information systems, or a related field.
  • At least one year of relevant experience preferred; internships, academic projects, capstone projects, certifications, or comparable hands-on experience will be considered, as appropriate.
  • Foundational understanding of business systems, data analytics, databases, reporting tools, software development concepts, workflow automation, or related technology concepts.
  • Academic or hands-on exposure to data analysis, data modeling, database concepts, business intelligence, data visualization, data engineering practices, or machine learning concepts.
  • Exposure to common data, reporting, scripting, automation, or AI-enabled tools, such as Power BI, Tableau, SQL, Python, Salesforce, Power Automate, Power Apps, Microsoft Fabric, Dataverse, ChatGPT, Claude, Microsoft Copilot, or similar platforms.
  • Ability and willingness to learn new systems and tools, including reporting platforms, business systems, data architecture concepts, automation tools, and AI-enabled workflows.
  • Strong analytical and problem-solving skills with the ability to research issues, organize information, understand business needs, and develop practical recommendations with guidance.
  • Strong attention to detail and commitment to data accuracy, documentation, quality, and continuous improvement.
  • Effective communication and collaboration skills with the ability to work professionally with business users, leadership, IT, and vendors.
  • Ability to manage multiple tasks, ask thoughtful questions, accept feedback, and work in a fast-paced, team-oriented environment.
  • Curiosity and enthusiasm for learning new technologies, improving business processes, and applying data-driven thinking.
  • Proficient with Microsoft Office, including Word, PowerPoint, Outlook, and Excel.

Apply