Data Analyst, Financial Efficiency Data Analytics

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
  
  

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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.