Global Sales Analytics Lead

We are seeking a technically sophisticated and detailed oriented individual who will serve as a member of Meta's Global Sales Analytics team. This position will have a day-to-day focus on providing analytical and strategic guidance for Meta's Ads business with the primary objective of enabling sales leadership to make effective, analytically driven decisions.Global Sales Analytics Lead ResponsibilitiesTake advantage of massive amounts of structured data to derive insights that will drive business decisionsEffectively communicate insights and recommendations to business leads and influence strategic decision-makingDevelop deep understanding of the Meta ads business, analyzing business and product trends (including regional, channel and vertical performance), recognizing opportunities, and presenting recommendations to the sales and product leadership teamsWork effectively with cross-functional teams globally, driving results in the form of data insights and building strategic partnershipsConceptualise, 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 mannerMinimum QualificationsBachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.3+ 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 or (2 yrs + with a masters degree)3+ years of advanced SQL experience working with large datasets (create, maintain, and improve data sets, pipelines and reporting)Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).Experience utilizing both qualitative analysis (e.g. content analysis, hypothesis testing) and quantitative analysis techniques (e.g. cluster analysis, descriptive and inferential statistics)Experience completing analytical projects with minimal guidance.Experience presenting technical content to non-technical audiencesPreferred QualificationsGraduate degree in in Mathematics, Statistics, a relevant technical field, or equivalent practical experienceExperience doing statistical analysis (e.g. regression, probability) using tools such as Python, R, MATLAB, SPSS, SAS, Stata, etc.Experience with digital advertising or ads monetizationMeta 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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.$73,008/year to $122,000/year + bonus + equity + benefitsIndividual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.

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