Senior Analyst – FP&a – Finance Shared Services
| Company | CVS Health |
|---|---|
| Location | New Mexico, USA, Washington, USA, Kansas, USA, Pennsylvania, USA, North Dakota, USA, Oregon, USA, Delaware, USA, Iowa, USA, California, USA, Washington, DC, USA, Vermont, USA, Wyoming, USA, Texas, USA, Montana, USA, Jackson Township, NJ, USA, Florida, USA, Waterbury, CT, USA, Nevada, USA, South Carolina, USA, South Dakota, USA, Georgia, USA, Arizona, USA, Concord, NH, USA, Mississippi, USA, Tennessee, USA, Virginia, USA, Arkansas, USA, Minnesota, USA, Colorado, USA, Nebraska, USA, Rhode Island, USA, Utah, USA, Kentucky, USA, West Virginia, USA, New York, NY, USA, Maryland, USA, Wisconsin, USA, Maine, USA, Massachusetts, USA, North Carolina, USA, Oklahoma, USA, Missouri, USA, Ohio, USA, Indiana, USA, Louisiana, USA, Michigan, USA, Illinois, USA, Alabama, USA, Idaho, USA |
| Salary | $46988 – $122400 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- Minimum of 2 years Finance experience and high level of comfort with variance analysis for different timeframes and scenarios.
- Strong Excel and PowerPoint skills with above-average formatting skills. Must know how to do formulas and pivot tables in Excel.
- Ability to work with large amounts of financial data.
- Proven ability to perform with a high degree of accuracy under tight deadlines and to manage multiple projects based on strict calendar expectations.
Responsibilities
- Ensuring accurate and timely reporting.
- Creating measures to ensure accuracy and consistency in the reporting processes.
- Being a key member of the team working to automate reporting.
- Creating standard and new reporting packages as needed.
- Being a resource for the Shared Services FP&A Teams in understanding results and reporting as well as calendar deliverables.
- Supporting ad hoc projects and reporting.
- Allocations liaison to broader Shared Services Team and Segments.
Preferred Qualifications
- Knowledge of SAP and Oracle-based systems.
- Financial Reporting experience.
- Keen attention to detail and ability to synthesize large amounts of data.
- Strong communication skills – oral and written.
- Demonstrated ability to create partnerships across large enterprises and across different levels of the organization.