Principal Data Analyst - Revenue Cycle

Providence•Irvine, CA

2d•Remote

About The Position

Providence is calling for Principal Data Analyst - Revenue Cycle - Remote. The Principal Data Analyst serves as a senior analytical contributor responsible for designing, implementing, and managing complex data analysis initiatives that support revenue cycle performance and organizational financial objectives. This position operates in a highly complex environment that requires balancing multiple concurrent requests from a wide range of stakeholders while maintaining accuracy, consistency, and timely delivery of analytical outputs. This role offers 100% remote work and is open to candidates who reside within 65 miles of: Anchorage, Alaska Renton, Washington Portland, Oregon Irvine, California Lubbock, Texas Hobbs, New Mexico. Providence caregivers are not simply valued – they’re invaluable. Join our team at Revenue Cycle Business Services in our culture of patient-focused, whole-person care built on understanding, commitment, and mutual respect. Your voice matters here, because we know that to inspire and retain the best people, we must empower them.

Requirements

Bachelor's Degree in Business, Data Analytics, Mathematics, Economics, Finance, Healthcare Administration, or equivalent education/experience.
A minimum of seven years of progressively responsible experience in data analysis, business intelligence, or analytics roles involving large and complex data sets.
Demonstrated proficiency in SQL, including advanced query development, data modeling, and performance optimization within large relational databases (4 years).
Strong skills in MS Office (e.g., Excel) (5 years).
Experience working with Epic systems, including Epic Clarity, and the ability to extract, interpret, and analyze data from Epic revenue cycle modules (2 years).

Nice To Haves

Experience translating analytical findings into actionable insights and presenting results to senior leadership, including Finance and Revenue Cycle executives (5 years).
Experience managing multiple concurrent analytical requests, prioritizing work effectively, and delivering high-quality outputs in a fast-paced environment (5 years).
Experience identifying metric drivers, conducting root-cause analysis, and developing recommendations to improve operational or financial performance (5 years).
Experience working with cross-functional teams, external vendors, and consultants on data requirements, analytical approaches, and solution development (3 years).

Responsibilities

Designing, implementing, and managing complex data analysis initiatives that support revenue cycle performance and organizational financial objectives.
Balancing multiple concurrent requests from a wide range of stakeholders.
Maintaining accuracy, consistency, and timely delivery of analytical outputs.