Global Sales Analytics Lead

 Global Sales Analytics Lead Responsibilities


 
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


 
Minimum Qualifications


 
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


 
Preferred Qualifications


 
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