HR Analytics & Insights Partner - People Operations

Facebook ,
London, Greater London
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Job Description

**Intro:** Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started. **Summary:** The Global People Operations team strives to create and deliver a seamless and positive employee experience across the entire employee lifecycle. Leading with care and empathy, we develop efficient and simple people processes, systems, policies, and programs. We deliver data that is useful and accurate to create people-related strategies across the business. We manage people knowledge and build project management capability across our company. Our work also ensures Facebook remains protected and compliant. We strive to ensure employees feel heard and given the resources and support they need during the most important moments during their careers.We're looking for an experienced People Analytics & Insights Partner to join our People Operations team. ABPs drive the business through the lens of HR data by empowering HR leaders to integrate data into daily decisions as well as strategic planning. In this role, you will partner with leaders across HR and the business to enact and influence people strategy in the EMEA, APAC & LATAM regions. The ideal candidate will have strong leadership, analytical and storytelling skills and will thrive managing concurrent projects while working with a global team to drive outcomes. We are looking for someone who enjoys building, figuring out the best way to achieve results, and working closely with global teams across multiple time zones. We need someone who enjoys operating in ambiguity and uses creativity to combat challenges. This is a full-time role based in our Dublin or London office. **Required Skills:** 1. Apply expertise in quantitative analysis and the presentation of data to see beyond the numbers and help inform, influence, support, and execute our business decisions for the People team 2. Act as an internal consultant by understanding business needs, scoping data requests, synthesizing insights, and recommending solutions to key business partners in collaboration with the Global People Analytics team 3. Manage multiple concurrent projects that require inputs from cross-functional stakeholders while balancing impact on business needs 4. Investigate ways to improve existing processes and fix pain points through automation, streamlining, and shared services 5. Share data expertise and techniques with colleagues to cultivate a data driven culture across the People team 6. Deliver analytical, survey or research results to technical and non-technical audiences 7. Leverage tools, such as SQL, Tableau, Workday, Visier, and Excel to drive analytics and enable client self-service on routine queries **Minimum Qualifications:** 8. BA/BS or equivalent work experience in a field that emphasizes analyzing, displaying, or reporting on data (e.g., computer science, math, engineering, economics, statistics, psychology) 9. 5+ years of consulting or corporate work experience focused on using data to uncover insights that drive action and communicating analyses to technical and non-technical audiences. Experience includes analytics, management consulting, sales operations, finance, compensation, or related fields 10. Knowledge of statistical analysis (e.g., descriptive statistics and basic familiarity with statistical significance), quantitative research, and experience gathering and interpreting data 11. Project management experience with multiple stakeholders prioritizing and delegating projects/tasks 12. Experience working across various levels of the organization, while building trust and fostering collaboration 13. Knowledge of data visualization principles 14. Experience in SQL, data visualization tools, and Excel (formula, pivots, macros, etc.) **Preferred Qualifications:** 15. Experience with Python & R **Industry:** Internet

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