United States only- Developing Meta’s Human Resource (HR) policies, strategies, and programs related to compensation.
- Apply human resource management principles, data analysis and data management to develop strategic HR compensation programs that promote market competitiveness to attract and retain talent, while aligning compensation programs with the company’s compensation philosophy.
- Analyze HR and competitive compensation strategies through the data analysis of relevant market HR compensation data trends, and synthesize business intelligence and compensation trend data to support recommendations for action.
- Participate in the research for, and ongoing development and administration of a HR compensation program that matches Meta’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.
- Design and deliver the Meta’s HR compensation policies and programs that include the annual merit, promotion, bonus program, market pricing, job evaluation and correspondence between within the company.
- Develop HR 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.
- Analyze competitive compensation trends to identify ways to improve the competitiveness of Meta’s compensation programs.
- Generate reports summarizing key compensation data for review by executives, managers, and other stakeholders.
- Conduct HR cost modeling and employee impact analysis for proposed new programs or program changes.
- Inform, influence, and execute new HR and recruiting program strategies and tactics using data analysis and impact metrics to support the planning and execution of our compensation programs.
- Monitor compensation and HR program trends and provide feedback to attract and retain talent while aligning programs with Meta’s compensation philosophy.
- Develop compensation models and conduct statistical analysis to support HRBPs and the compensation team in making business decisions.
- Identify and track success metrics for improving our compensation program, and they will propose and execute improvements to business processes for the program.
- Work with large amounts of data and tools to streamline process for analyzing trends in compensation.
- Manage HR project elements and provide functional expertise for compensation and other cross-functional projects.
- Work with large amounts of data to build and maintain reports, dashboards, and metrics, and create tools to streamline the process and to monitor the integrity and validity of reported data.
- Telecommute from anywhere in the US permitted.
- Requires a Bachelor’s degree in Human Resource Management, Business Management, Economics, Finance, or related field and 3 years of work experience in job offered or in a business-related occupation. OR employer will accept 5 years of work experience in job offered or in a computer-related occupation. Any suitable combination of education, training, or experience is acceptable.
Experience must include 3 years of experience in the following: - 1. Building analyses and models in Excel
- 2. Working in project management or process management
- 3. Identifying and control for data quality (Sample size, and compositional errors)
- 4. Utilizing different metrics depending on needs of a specific analysis (median, mean, mode, distribution, weighted or simple average)
- 5. Navigating HR data tools to answer business questions, diagnose administrative issues, run staffing reports/analyses, and affect changes to employee records
- 6. Building interactive models/dashboards in Excel/Access/SQL/Tableau.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
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