Meta Analytics Operations protects people and businesses and preserves voice and economic opportunity for the people and businesses that use Meta's platforms. As a horizontal analytics team, the Financial Efficiency Data Analytics team enables Global Operations to make data-informed decisions by serving as analytics thought-partners to solve operational business problems. We employ a diverse toolkit of rigorous analytical approaches to guide teams using data and insight. In this role, you won't simply present data, but tell data-driven stories. You will influence operations and product decisions using clear insights and recommendations, develop data-driven investment strategies to optimize operational outcomes, and collaborate with a diverse set of cross-functional partners to identify, quantify, and solve GO's biggest challenges. This work utilizes one of the largest data sets in the world and drives high-stakes outcomes that impact billions of people on and off the platform. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Data Analyst, Financial Efficiency Data Analytics Responsibilities

• Apply quantitative skills and incorporate qualitative insights to inform and influence strategy for Global Operations


• Partner with Operations, Data Science, Data Engineering, Product, and Engineering teams to identify and execute against opportunities that increase operational efficiency and effectiveness


• Develop scalable analytics solutions that provide the essential insights around budget spent, ROI measurement, and efficiency needed to support data-driven decision making


• Drive forecasting, scenario planning, and predictive analytics to optimize the community and business impact of our operational expenditures


• Translate business objectives into actionable analyses, clearly communicating technical concepts and operational implications to varied audiences


• Identify metric trends and insights for business reviews to provide leadership visibility into operational expenditure and performance against desired outcomes

Minimum Qualifications

• B.A./B.S. degree with a quantitative focus in Economics, Computer Science, Information Systems, Math, Statistics, or a similar technical field


• 5+ years of work experience in an analytics role involving strategy, problem solving, and/or technical systems


• Experience working in a fast-paced, rapidly-changing environment, while managing multiple priorities and stakeholders


• Experience communicating effectively to technical and non-technical audiences


• Experience using analytics to break down ambiguous, complex problems using data and influence solutions


• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

Preferred Qualifications

• Experience working in an online operations or trust & safety organization


• Experience developing data pipelines via SQL and Python-based ETL frameworks


• Familiarity with internet policy and regulatory environments


• Advanced degree with a quantitative focus (Computer Science, Statistics, Finance, Information Systems, Applied Economics or similar technical field) or equivalent practical experience