Business Analyst, Compensation: Facebook
| Company Name | Facebook |
| Job Category | Accounting/Finance; Human Resources |
| Location | Palo Alto, CA |
| Position Type | Full-Time, Employee |
| Experience | 2-5 Years Experience |
| Date Posted | November 13, 2009 |
| View Facebook profile and job listings |
Business Analyst, Compensation
Facebook is seeking a Business Analyst with strong experience in quantitative analysis to help develop and maintain an analytical framework that will drive all aspects of compensation at Facebook. This full-time position is located in our Palo Alto office.
- Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and help inform, influence, support, and execute our business decisions
- Participate in the research for, and ongoing development and administration of a compensation program that matches Facebook’s needs
- Build and maintain reports, dashboards, and metrics and monitor the integrity and validity of the data reported
- Obtain a thorough understanding of our data sources and collection methods
- Develop compensation models and conduct statistical analysis
- Analyze trends in compensation and build intelligence through reporting
- Work with large amounts of data and build tools to streamline the process
Requirements
- BS/BA in a highly quantitative field, such as Economics, Finance, Engineering, or Computer Science
- 18 – 24 months of quantitative analytical experience in investment banking, consulting, finance, compensation, or a similarly applicable field
- Demonstrable expert Excel skills, including experience building complex, robust, dynamic, and scalable analyses and models
- Knowledge of VBA, especially as it relates to Excel and its object model, or previous programming/scripting experience and a strong willingness to learn
- Demonstrated project management skills
- Strong willingness to contribute to a small, leveraged team and the desire to go the extra mile for internal customers
- Basic knowledge of relational databases and SQL, or strong interest in learning
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