Global Sales Analytics Lead

We are seeking a technically sophisticated, business-savvy and detail-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.

Required Skills:

1. Take advantage of massive amounts of structured data to derive insights that will drive business decisions.
2. Effectively communicate insights and recommendations to business leads and influence strategic decision-making.
3. 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 the sales and product leadership teams.
4. Work effectively with cross-functional teams globally, driving results in the form of data insights and building strategic partnerships.
5. Design and execute experiments (e.g., A/B testing, multi-armed bandit).
6. Conceptualize, 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:

1. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
2. 8+ 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 a Master's degree).
3. 4+ years of advanced SQL experience working with large datasets.
4. Experience with data querying languages (e.g. SQL). Other skills such as scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) are optional.
5. Experience utilizing both qualitative analysis (e.g. content analysis, hypothesis testing) and quantitative analysis techniques (e.g. regression analysis and cluster analysis).
6. Experience initiating and completing analytical projects with minimal guidance.
7. Experience presenting technical content to non-technical audiences and leadership.

Preferred Qualifications:

1. Graduate degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
2. Experience doing statistical analysis (e.g. regression, probability) using tools such as Python, R, MATLAB, SPSS, SAS, Stata, etc.
3. Experience with digital advertising or ads monetization.

Public Compensation:

$126,000/year to $178,000/year + bonus + equity + benefits.

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