Data Analyst

Job Overview

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable insights that support strategic decision-making. The role serves the division through statistical data analysis, identification of existing issues, and supporting divisional strategies of process and technology innovation and profitable growth to ensure continued quality improvement and prevent fraud, waste, and abuse. This includes analyzing, interpreting, and visualizing claims, clinical, and/or operational data from various sources and recommending best approaches for intervention.

Salary Range: 60,. The base pay offered for this position may vary within the posted range based on your job‑related knowledge, skills, and experience.

Our first consideration will be to have this employee live in the state of Wisconsin to take advantage of Hybrid work and collaboration. Employees within 45 miles of WPS Headquarters (1717 W. Broadway in Madison, WI, 53713) will be expected to work Hybrid 2 days a week on a regular basis.

We are open to remote work in the following approved states:
Colorado, Florida, Georgia, Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Nebraska, New Jersey, North Carolina, Ohio, South Carolina, Texas, Virginia, Wisconsin.

• Like to create, test, and deploy models, reports, and analyses.
• Enjoy developing and maintaining dashboards and reports using tools such as Excel, Tableau, Power BI, or similar.
• Are energized by working with cross‑functional teams to understand data needs and recommend analytical approaches.
• Like to analyze data trends to identify patterns, outliers, and opportunities for improvement.
• Participate in and/or lead projects to ensure requests are completed efficiently and accurately in accordance with contract requirements.
• Assist in ad hoc data requests for operational areas and their Medicare contract requirements, as necessary.
• Identify, recommend, and implement process improvement changes to existing processes.
• Research, recommend, and master new industry analytical techniques and business intelligence tools.
• Ensure data integrity, security, and compliance with company and industry standards.

• Bachelor's Degree in Data Analytics, Mathematics, Statistics, Computer Science or related field or equivalent combination of education and experience.
• One (1) or more years of experience querying, reshaping, and visualizing data and systems.
• Proficient with business intelligence/analytical tools and programming languages (e.g. R, Python, SAP Business Objects, SQL, Power BI, Snowflake, Databricks).
• Ability to interpret analytic results and create summarizations for presentations.
• Proficient with MS O365 applications (e.g., Outlook, Excel, PowerPoint).
• Strong written and verbal communication skills.
• Strong problem‑solving, analytical, and critical thinking skills.

• Master's Degree.
• Basic understanding of health insurance systems and the claims processing workflow.
• Experience with Medicare, Medicaid, TRICARE, VA, or healthcare claims preferred.
• Experience in a clinical or business data analytics role preferred.

• Wired (ethernet cable) internet connection from your router to your computer.
• High speed cable or fiber.
• Minimum of 10 Mbps downstream and at least 1 Mbps upstream internet connection.
• Please review Remote Worker FAQs for additional information.

• Remote and hybrid work options available.
• Performance bonus and/or merit increase opportunities.
• 401(k) with a 100% match for the first 3% of your salary and a 50% match for the next 2% of your salary (100% vested immediately).
• Competitive paid time off.
• Health insurance, dental insurance, and telehealth services start DAY 1.
• Professional and Leadership Development Programs.
• Review additional benefits:

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.