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Healthcare Data Analytics Jobs in Racine, WI (NOW HIRING)

... Healthcare Real Estate Development Report. Position Summary The Business Analyst will support Hammes' business systems, reporting platforms, data initiatives, workflow automation efforts, and ...

New

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Maintains current data on market area, competitors, and marketing strategies. * Maintains an ... Participates in strategic planning and the analysis for their assigned territory in conjunction ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Maintains current data on market area, competitors, and marketing strategies. * Maintains an ... Participates in strategic planning and the analysis for their assigned territory in conjunction ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

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Healthcare Data Analytics information

See Racine, WI salary details

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How much do healthcare data analytics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for healthcare data analytics in Racine, WI is $51.33, according to ZipRecruiter salary data. Most workers in this role earn between $41.25 and $58.17 per hour, depending on experience, location, and employer.

What is a healthcare data analytics?

A Healthcare Data Analytics job involves collecting, processing, and analyzing healthcare data to improve patient outcomes, operational efficiency, and decision-making. Professionals in this role use statistical models, machine learning, and data visualization tools to identify trends and insights. They work with electronic health records (EHRs), claims data, and other medical datasets to support healthcare providers, insurers, and policymakers. This role requires knowledge of data analysis techniques, healthcare regulations (such as HIPAA), and industry-specific software.

What are the key skills and qualifications needed to thrive in healthcare data analytics?

To thrive in Healthcare Data Analytics, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, data science, or a related field. Experience with tools like SQL, Python/R, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is highly valuable. Problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present insights to non-technical stakeholders. These competencies are crucial for successfully leveraging data to improve patient outcomes and drive operational efficiencies in healthcare organizations.

What are some typical challenges faced in a healthcare data analytics role?

Healthcare Data Analytics professionals often encounter challenges such as dealing with incomplete or inconsistent data, ensuring compliance with strict data privacy regulations like HIPAA, and integrating data from multiple sources. Maintaining data integrity while extracting meaningful insights requires analytical rigor and a thorough understanding of both healthcare workflows and data management best practices. Additionally, translating complex findings into actionable recommendations for clinical or administrative teams can be demanding but is key to driving improvements. Effective communication and a proactive approach to problem-solving help address these challenges and ensure impactful results.

How do I become a healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like Excel, SQL, and statistical software, along with understanding healthcare data and regulations, is essential. Gaining experience through internships or certifications such as Certified Health Data Analyst (CHDA) can also improve job prospects.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with tools like SQL and Python, with certifications such as Certified Health Data Analyst (CHDA) enhancing job prospects. The role offers strong job growth, competitive salaries, and opportunities across healthcare providers, insurance companies, and technology firms.

What does a healthcare data analyst do in healthcare?

A healthcare data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports for healthcare providers and administrators.

What job categories do people searching Healthcare Data Analytics jobs in Racine, WI look for?

The top searched job categories for Healthcare Data Analytics jobs in Racine, WI are:

What cities near Racine, WI are hiring for Healthcare Data Analytics jobs?

Cities near Racine, WI with the most Healthcare Data Analytics job openings:

Infographic showing various Healthcare Data Analytics job openings in Racine, WI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 3% Contract, and 2% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,776 per year, or $51.3 per hour.

Business Analyst

Hammes Company

Milwaukee, WI โ€ข On-site

Full-time

Posted yesterday

New


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.