Data Analyst - People Analytics (Short-Term Employment)

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Summary

Data Analysts in People Analytics drive the business by empowering HR and business leaders to incorporate people insights into workforce and business decisions. In this role, you will create analysis with people data, create dashboards for scaled solutions and efficient reporting, and develop materials for the executive leaders of the company to drive strategy. You will partner with People Analytics teams to influence priorities, perform research and build solutions for the future. The ideal candidate will have demonstrated analytical and technical skills, experience creating data-driven executive level presentations and will thrive managing concurrent projects while working with a cross-functional team. We are looking for someone who enjoys building, figuring out the best way to achieve results, and working closely with teams across Meta to solve complex problems.

Required Skills

Data Analyst - People Analytics (Short-Term Employment) Responsibilities:

• Apply expertise in data analytics to identify business relevant insights and develop executive level presentations to influence people strategy
• Act as an internal consultant and partner to HR and business leaders and engage with the broader analytics community to deliver insights, research and scalable solutions
• Focus on impact and propose metrics to understand success of People initiatives
• Manage multiple concurrent projects that require inputs from cross-functional stakeholders, while balancing impact on business needs
• Deliver analytical findings to executive audiences
• Leverage data analysis tools, such as Python, R, SQL, Tableau, and spreadsheets to develop models, understand trends, and extract insights
• Demonstrate exceptional judgment and discretion when dealing with highly sensitive people data
  
  

Minimum Qualifications

Minimum Qualifications:

• BA/BS in Engineering, Industrial Psychology, Data Science, or related field with 5 years (or MBA/MA/MS with 4 years or PhD and 3 years) experience in fields such as analytics, management consulting, sales operations, finance, compensation, or related areas
• 5 years of data analysis, quantitative / qualitative research, experience gathering and evaluating data and validating hypotheses
• 3 years of SQL, data modeling and advanced querying
• 3 years of program management, directing tasks and managing multiple streams of work
• Experience engaging directly with executive stakeholders and managing relationships
• 3 years of experience in data visualization tools (for example, Tableau) and spreadsheets (complex formulas, pivots, macros, etc.)
• 3 years of storytelling with data, communicating technical results to technical and non-technical audiences
  
  

Preferred Qualifications

Preferred Qualifications:

• Experience working with HR/organizational people data (e.g. headcount, turnover, recruiting metrics, and other people analytics)
• Experience working across various levels of an organization, while building trust and fostering collaboration
• 2 years of dashboard development using advanced Tableau functionality (e.g. data blending)
• 5 years of experience SQL and data pipeline development and automation
• 3 years of experience with Python or R and developing solutions that scale
  
  

Public Compensation

$124,000/year to $176,000/year benefits

Industry: Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.