Global Sales Analytics, Business Analyst Responsibilities:

• Conduct analysis using internal and external data (e.g. customer, user, revenue, product, market, industry) to derive insights that will drive business decisions
• Develop deep understanding of the Meta ads business, analyzing business and product trends (including regional, channel and vertical performance), recognizing opportunities, and presenting recommendations to stakeholders
• Conduct deep dives through complex data analysis to extract meaningful insights for the sales and product leadership teams
• Work effectively with cross-functional teams globally, driving results in the form of data insights and building strategic partnerships
• Conceptualise, build, manage and maintain centralized tools (including dashboards) that the business and Analytics teams can use to extract data / insights for daily business management in an automated manner

Minimum Qualifications:

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• 7 years of work experience involving analytical rigor as typically seen in, but not restricted to, functions like finance, data science, strategy, business operations, etc. or industries like consulting, banking, etc. (or 6 years work experience with Masters degree)
• 4 years of advanced SQL experience working with large datasets (create, maintain, and improve data sets, pipelines and reporting)
• 4 years experience with data visualization tools such as Matplotlib, Seaborn, Tableau, etc
• Experience analyzing and deriving meaning from unstructured data sets
• Experience utilizing both qualitative analysis (e.g. content analysis, hypothesis testing) and quantitative analysis techniques (e.g. cluster analysis, descriptive and inferential statistics)
• Demonstrated problem-solving experience with experience driving and delivering action based on data-driven insights and recommendations from data analyses
• Experience presenting technical content to non-technical audiences and leadership
• Experience managing multiple concurrent projects and drive initiatives in a cross-functional environment

Preferred Qualifications:

• Graduate degree in in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
• Experience in building, validating, and deploying predictive models using machine learning libraries like scikit-learn, TensorFlow, PyTorch
• Experience doing statistical analysis (e.g. regression, probability) using tools such as Python, R, MATLAB, SPSS, SAS, Stata, etc.
• Experience with digital advertising or ads monetization
• Experience working with or in support of diverse communities

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.