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Health Informatics Data Analyst Jobs in Wisconsin

Children's Wisconsin is a nationally recognized health system dedicated solely to the health and ... The Data Analyst III will work independently with various groups, leaders and enterprise ...

Children's Wisconsin is a nationally recognized health system dedicated solely to the health and ... The Data Analyst III will work independently with various groups, leaders and enterprise ...

The Data and Analytics Team within the Information Technology department provides enterprise data ... Industry leading health, dental, and vision plans * Generous 401 (K) savings and profit sharing

The Data and Analytics Team within the Information Technology department provides enterprise data ... Industry leading health, dental, and vision plans * Generous 401 (K) savings and profit sharing

Aspirus Corporate Office in Wausau, WI is seeking a CONTRACT DATA ANALYST to join our ANI team! The ... Ability to adapt readily to a changing healthcare environment. * Ability to maintain organizational ...

Data Analyst Senior

Hudson, WI · On-site

$88K - $112K/yr

CLA is growing and seeking to hire an experienced Data Analyst Senior to join our talented ... health, dental, vision, 401k and much more. To view a complete list of benefits, click here.

Data Analyst Sr

Milwaukee, WI · On-site

$84K - $106K/yr

... health of the communities we serve. Founded in 1893 as the Wisconsin College of Physicians and Surgeons. Formerly associated with Marquette University. Data Analyst Sr Qualifications Data Analyst Sr ...

Data Analyst Sr

Milwaukee, WI

$84K - $106K/yr

... health of the communities we serve. Founded in 1893 as the Wisconsin College of Physicians and Surgeons. Formerly associated with Marquette University. Data Analyst Sr Qualifications Data Analyst Sr ...

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Health Informatics Data Analyst information

See Wisconsin salary details

$42.9K

$86.4K

$126.2K

How much do health informatics data analyst jobs pay per year?

As of Jul 5, 2026, the average yearly pay for health informatics data analyst in Wisconsin is $86,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,600.00 and $100,900.00 per year, depending on experience, location, and employer.

What are typical daily responsibilities for a Health Informatics Data Analyst?

As a Health Informatics Data Analyst, your typical day involves gathering, cleaning, and analyzing health data from multiple sources, such as electronic health records and clinical systems. You'll frequently collaborate with healthcare professionals and IT teams to understand data requirements, identify trends, and present findings through reports and data visualizations. Tasks may also include developing and maintaining dashboards, supporting quality improvement initiatives, and ensuring data complies with privacy regulations. This role requires balancing technical tasks with regular communication across interdisciplinary teams.

What are the key skills and qualifications needed to thrive in the Health Informatics Data Analyst position, and why are they important?

Health Informatics Data Analysts need strong analytical skills, a foundational understanding of healthcare systems, and a background in statistics or information management, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Python, R, as well as experience with EHR systems and certifications like CAHIMS are highly valued. Attention to detail, problem-solving abilities, and strong communication skills are essential soft skills for excelling in this role. These skills enable analysts to extract meaningful insights from complex healthcare data, ensuring quality improvements and informed decision-making within healthcare organizations.

What is a Health Informatics Data Analyst job?

A Health Informatics Data Analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, operational efficiency, and decision-making. They work with electronic health records (EHRs), databases, and analytics tools to identify trends and support evidence-based practices. Their role bridges healthcare, IT, and data science, ensuring that data-driven insights enhance care quality and efficiency.

What are the most commonly searched types of Health Informatics Data Analyst jobs in Wisconsin? The most popular types of Health Informatics Data Analyst jobs in Wisconsin are:
What are popular job titles related to Health Informatics Data Analyst jobs in Wisconsin? For Health Informatics Data Analyst jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Health Informatics Data Analyst jobs in Wisconsin look for? The top searched job categories for Health Informatics Data Analyst jobs in Wisconsin are:
Infographic showing various Health Informatics Data Analyst job openings in Wisconsin as of June 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $86,410 per year, or $41.5 per hour.

Manager of Data Science

CLA (CliftonLarsonAllen)

Hudson, WI • On-site

Full-time

Posted 16 days ago


Job description

Job Summary:
CLA (CliftonLarsonAllen) is a top 10 national professional services firm dedicated to creating opportunities for clients, people, and communities. They are seeking a Manager of Data Science to lead a team in constructing complex data solutions, overseeing AI initiatives, and ensuring high-quality delivery of analytical projects.
Responsibilities:
• Provide day‑to‑day leadership, coaching, development, and performance management.
• Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across career stages.
• Conduct workload planning, prioritization, and resource allocation to support multiple concurrent initiatives.
• Build and sustain a high‑performing team culture rooted in collaboration, quality, accountability, and innovation.
• Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation.
• Provide technical oversight and review of analytical approaches, models, and AI systems to ensure sound methodology, reproducibility, and scientific rigor.
• Guide the development and application of advanced statistical, machine learning, and AI-driven solutions, including predictive models, computer vision, large language models (LLMs), and agent-based systems.
• Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows.
• Establish and evolve analytical and AI best practices, documentation standards, and technical frameworks across the team.
• Ensure standards for model and AI system validation, monitoring, evaluation, documentation, and responsible AI use are consistently applied.
• Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions.
• Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.
• Translate business objectives into clear analytical and AI priorities, balancing near term delivery with long term capability building.
• Oversee planning, prioritization, and resourcing across projects and teams.
• Monitor solution performance, validation results, and model or AI system stability; guide troubleshooting of complex data, model, or AI issues.
• Ensure solutions are productionized effectively, with clear ownership, monitoring, and integration into business workflows.
• Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and governance.
• Remove obstacles, manage risks, and ensure consistent execution across initiatives.
• Serve as a primary point of contact for business and functional leaders on analytics and AI initiatives.
• Partner with stakeholders to define business questions, success metrics, analytical frameworks, and delivery expectations.
• Coordinate work across teams, offices, and disciplines to ensure alignment of analytical and AI approaches and outcomes.
• Communicate progress, risks, and results clearly to both technical and non technical audiences.
• Evaluate and recommend adoption of new data sources, technologies, and analytical and AI tools.
• Contribute to enterprise level analytics and AI strategy, including identifying high impact use cases and guiding their transition from concept to production.
Qualifications:
Required:
• 8 years of relevant experience required.
• Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required.
• Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions required.
• Supervisory experience required.
• Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
Preferred:
• Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred.
• Masters in a Data Science/Analytics/AI is a plus
Company:
CLA exists to create opportunities for our clients, our people, and our communities through industry-focused wealth advisory, outsourcing, audit, tax, and consulting services. Founded in 1998, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.