Advisor, Revenue Cycle Management Analyst
New
USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- Microsoft Power BISnowflakeTableauMicrosoft Excel
Requirements
- Bachelor’s degree in Finance, Accounting, Economics, or a related field.
- 8+ years of experience in FP&A, accounting, or commercial finance with exposure to revenue analytics and forecasting.
- Strong proficiency in Excel, including advanced modeling, formulas, and large dataset manipulation.
- Experience with BI tools such as Tableau, Power BI, or Qlik for data visualization and reporting.
- Familiarity with cloud data platforms such as Snowflake and EPM systems like Oracle Hyperion, Anaplan, or OneStream is a plus.
- Strong analytical and problem-solving skills with the ability to interpret complex financial data.
- Excellent communication skills with the ability to present insights to both financial and non-financial audiences.
- Ability to manage multiple priorities in a fast-paced, deadline-driven environment.
- Strong curiosity for AI, automation, and continuous process improvement within finance functions.
Responsibilities
- Support monthly revenue cycle close processes by ensuring accurate and timely reporting of actual financial results.
- Contribute to forecasting activities by analyzing monthly revenue cycle impacts aligned with the FP&A planning calendar.
- Conduct variance analysis to identify key financial drivers and communicate insights to finance and senior leadership teams.
- Partner with cross-functional teams including billing, reimbursement, managed care, and commercial functions to execute strategic initiatives.
- Build and support business cases for projects requiring incremental investment and assess financial impact.
- Develop executive dashboards and reporting tools to provide visibility into key revenue cycle and financial performance metrics.
- Drive adoption of AI, automation, and data-driven solutions to improve revenue cycle efficiency and outcomes.
- Support AOP and forecast processes in collaboration with FP&A, including data gathering and financial modeling.
- Provide ad hoc financial analysis and reporting support to senior leadership and cross-functional stakeholders.
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