Imagine being part of a team that helps shape the future of workspaces and services at one of the world's most innovative companies. As a key player in the Global Workplace Services (GWS) organization, you'll have the opportunity to provide analytical and strategic guidance that drives business outcomes and fuels Meta's success. In this role, you'll be instrumental in helping facilities and culinary leadership make informed, data-driven decisions that impact thousands of employees worldwide. By analyzing complex data sets and identifying trends, you'll uncover insights that inform the development of world-class workplaces and services that meet the diverse needs of our global workforce. As a member of the GWS team, you'll be part of a dynamic and forward-thinking organization that is dedicated to creating environments that inspire creativity, collaboration, and productivity. With a focus on delivering high-quality services that exceed expectations, you'll play a critical role in shaping the employee experience and driving business results. Key Highlights: * Provide analytical and strategic guidance to drive business outcomes * Collaborate with facilities and culinary leadership to inform decision making * Analyze complex data sets to identify trends and opportunities * Contribute to the development of world-class workplaces and services * Be part of a dynamic and forward-thinking organization that is shaping the future of work Join us in unlocking the power of data-driven decision making and shaping the future of work at Meta!Bachelor's degree in a directly related field, or equivalent practical experience. 8+ years of work experience involving analytical rigor as typically seen in functions like finance, data science, strategy, business operations, or related fields (or 6+ years of analysis work experience with Masters degree) Advanced SQL skills with experience working with large datasets Experience with data querying languages (e.g., SQL), data visualization tools (e.g., Tableau), ETL, and data modeling. Demonstrated analytical skills, including both qualitative and quantitative analysis techniques (e.g., regression analysis, cluster analysis, hypothesis testing) Experience initiating and completing analytical projects with minimal guidance, and present technical content to non-technical audiences and leadership Graduate degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience in data analytics field. Proven experience in data analysis, reporting, and visualization, including merging disparate data sets, identifying correlations, and presenting findings in various formats. Proficient in at least one programming language (e.g., Python, R). Experience working in fast-paced, dynamic environments with a focus on operations and facilities management, preferably in a global organization with multiple locations.