Data Analyst

About the role

This role partners closely with business leaders and end users to understand their workflows, business practices, and data needs, translating complex information into meaningful insights. You will create analytics tools and products that help business users identify trends, evaluate performance, and make informed decisions. The role also involves assisting with data validation techniques and presenting findings to business users to support understanding, interpretation, and effective use of the analytical product.

Responsibilities

• 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.
• Proactively identify trends, patterns, and anomalies in large datasets to inform business strategies and identify areas for improvement.
• Collaborate with cross-functional teams (e.g., client support, product implementation, 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.
• Effectively manage analytics projects by building and executing project plans, tracking milestones and dependencies, and communicating progress, risks, results, and recommendations to 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.
• Query cloud-hosted databases using structured query language, clean and manipulate complex datasets, troubleshoot data discrepancies, and develop reports, dashboards, visualizations, and web-enabled applications through business intelligence and visualization tools.
• Build long-term relationships with internal business users and deliver analytical solutions that go beyond reporting to improve understanding, interpretation, and action on business trends.

Requirements

• Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Engineering, 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 including business executives.

Skills

• 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.

About the company

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. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans.

Benefits

• Competitive total rewards (base salary + bonus, if applicable).
• Customizable benefits package (3 medical plans with Health Savings Account company match).
• Generous paid time off for non-exempt team members: 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.