Sr. Claim Integrity Analyst

Role Description

Performs statistical modeling and analysis of structured and unstructured datasets to develop metrics, reports and visualizations of trends and patterns. Works with technology organization and business end-users to understand data and analysis needs to develop technical requirements. Partners with development and data management roles to identify and capture data required from internal and external sources. Creates and maintains statistical models for ongoing and ad hoc review and analysis of data. Uses data visualization programs, tools and techniques to generate dashboards, reports and presentations that aid in data storytelling, understanding and interpretation of trends and patterns of business importance. May be internal or external, client-focused, working in conjunction with Professional Services and outsourcing functions. May include company-wide, web-enabled solutions.

Qualifications

• Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
• 2-4 years of experience in a data analytics or business intelligence role.
• Proficiency in SQL for data extraction and manipulation.
• Strong experience with at least one data visualization tool (e.g., Tableau, Power BI, Looker).
• Solid understanding of statistical analysis techniques and data modeling principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to communicate complex data insights effectively to diverse audiences.
• Experience with scripting languages like Python or R for data analysis is a plus.
• Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and data warehousing concepts is desirable.

Requirements

• Perform complex data extraction, cleaning, transformation, and analysis from various internal and external data sources.
• Develop and maintain interactive dashboards, reports, and visualizations using tools like Tableau, Power BI, or similar.
• Identify trends, patterns, and anomalies in large datasets to inform business strategies and identify areas for improvement.
• Collaborate with cross-functional teams (e.g., product, marketing, finance, engineering) to understand their data needs and provide analytical support.
• Conduct ad-hoc analysis and present findings clearly and concisely to both technical and non-technical stakeholders.
• Contribute to the design and implementation of data models and data governance best practices.
• Assist in the documentation of data processes, definitions, and analytical methodologies.
• Participate in the evaluation and implementation of new data analysis tools and technologies.

Benefits

• Competitive total rewards (base salary + bonus, if applicable).
• Customizable benefits package (3 medical plans with Health Saving Account company match).
• Generous paid time off for non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays.
• Flexible time off for exempt team members + 13 paid holidays.
• Paid parental leave (including maternity + paternity leave).
• Education assistance opportunities and free LinkedIn Learning access.
• Free mental health and family planning programs, including adoption assistance and fertility support.
• 401(K) program with company match.
• Pet insurance.
• Employee resource groups.

Company Description

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012.