Remote FP&A Manager: Rebates & Data Analytics Leader

CVS Health

Yuma (AZ)

In loco

USD 66.000 - 146.000

Tempo pieno

8 giorni fa

Una candidatura completa in un minuto

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Vantaggi offerti da questo lavoro

Medical insurance
Dental insurance
Vision insurance
Paid time off
Retirement savings
Wellness programs

Descrizione del lavoro

CVS Health is seeking an FP&A Manager for the Pharmacy Services Trade Finance team to guide financial planning, forecasting, budgeting, and rebate analytics. You will partner with senior leaders across Finance, Data Engineering, BI, and Technology to provide insights that inform strategy and drive enterprise performance.

You will lead a small team of analysts, promote data governance, and drive automation using SQL, Python, and cloud-based platforms to support reporting and decision making.

Competenze

  • 5+ years of FP&A, financial analytics or BI experience.
  • 3+ years of SQL/Python and data analysis for large datasets.
  • Excel and financial modeling skills with forecasting, budgeting and variance analysis.

Mansioni

  • Lead forecasts, budgets, accruals and variance analysis for rebate programs.
  • Partner with Data Engineering and Technology to design scalable data solutions on GCP.
  • Develop automated data pipelines, validation and reconciliation processes.
  • Collaborate to define data requirements, business rules and governance.
  • Utilize SQL, Python and cloud-native tools to transform and analyze data.
  • Support enterprise reporting and visualization via Power BI, BigQuery and Dataiku.

Conoscenze

FP&A experience
SQL
Python
Data analysis
Excel
Financial modeling

Formazione

Bachelor's degree in Finance/Accounting/Business

Strumenti

Power BI
Tableau
Looker
BigQuery
Google Cloud Platform

Descrizione del lavoro

CVS Health is seeking an FP&A Manager for the Pharmacy Services Trade Finance team to guide financial planning, forecasting, budgeting, and rebate analytics. You will partner with senior leaders across Finance, Data Engineering, BI, and Technology to provide insights that inform strategy and drive enterprise performance.

You will lead a small team of analysts, promote data governance, and drive automation using SQL, Python, and cloud-based platforms to support reporting and decision making.

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