Time zones: EST (UTC -5), CST (UTC -6), MST (UTC -7), PST (UTC -8), AKST (UTC -9), HST (UTC -10)

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

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
• 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 Masters degree)
• 4+ years of advanced SQL experience working with large datasets
• 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
• Experience utilizing both qualitative analysis (e.g. content analysis, hypothesis testing) and quantitative analysis techniques (e.g. regression analysis and cluster analysis)
• Experience initiating and completing analytical projects with minimal guidance
• Experience presenting technical content to non-technical audiences and leadership

• Graduate degree in in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
• 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