Data Analyst

Description

We are looking for a Data Analyst to support revenue cycle performance through thoughtful reporting, data interpretation, and visual analytics in Westerville, Ohio. This contract opportunity with permanent potential is ideal for someone who can turn complex operational and financial data into clear recommendations that help leaders improve patient accounts outcomes. The role partners closely with analytics and revenue cycle stakeholders to build dependable reporting tools, surface performance insights, and guide informed business decisions while handling sensitive information with discretion.

Responsibilities:
Evaluate revenue cycle and patient accounts data to uncover patterns, variances, and opportunities that influence operational and financial results.
Gather, clean, transform, and organize data from multiple sources to create consistent datasets for recurring analysis and reporting.
Design, update, and optimize dashboards, scorecards, and automated reports that improve visibility into key performance indicators.
Deliver ad hoc analyses for leadership, translating findings into practical recommendations that support timely decision-making.
Work with managers and business partners to investigate root causes of performance issues and quantify their impact on outcomes.
Present analytical findings through concise written summaries, visualizations, and verbal updates tailored to stakeholder needs.
Maintain clear documentation for data definitions, logic, methodologies, and reporting assets to support transparency and long-term usability.
Collaborate effectively across teams, share knowledge with colleagues, and help maintain workflow coverage when business needs require additional support.

Requirements

Experience in data analysis with the ability to interpret operational and financial metrics and convert them into actionable insights.
Proficiency in data cleansing, transformation, and reporting practices that support accurate and scalable analytics.
Strong ability to communicate complex findings clearly through reports, dashboards, presentations, and stakeholder discussions.
Background working with sensitive business, financial, or patient-related information while maintaining confidentiality standards.
Skill in identifying trends, anomalies, and performance drivers across large datasets to support business improvement efforts.
Ability to partner with cross-functional stakeholders to define business questions, investigate issues, and recommend solutions.
Familiarity with fraud analytics, anti-fraud concepts, fraud investigation, or suspected fraud review is valued.
Strong organizational skills and the ability to manage shifting priorities in a fast-paced analytical environment.

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