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Why Remote?

Remote Global Sales Analytics Lead at Meta

🌎Location:USA Only. Full-Time

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

Responsibilities of the Global Sales Analytics Lead
  • Leverage extensive structured data to extract insights that will influence key business decisions
  • Communicate insights and suggestions effectively to business stakeholders and impact strategic decisions
  • Gain in-depth knowledge of the Meta ads landscape, analyzing trends in business and products (including performance by region, channel, and vertical), identifying opportunities, and offering guidance to sales and product leaders
  • Collaborate successfully with global cross-functional teams, yielding results in data insights while building strategic partnerships
  • Design and carry out experiments (such as A/B testing and multi-armed bandit testing)
  • Envision, develop, manage, and sustain centralized tools (like dashboards) for the business and Analytics teams to automate the extraction of data insights for daily operations

Essential Qualifications
  • Bachelor's degree in Mathematics, Statistics, a relevant technical discipline, or equivalent hands-on experience
  • Over 8 years of experience in analytical roles typically found in finance, data science, strategy, business operations, etc., or environments like consulting and banking (or over 6 years with a Master's degree)
  • More than 4 years of advanced SQL expertise dealing with large data sets
  • Proficient in data querying languages (e.g., SQL). Skills in scripting languages (e.g., Python) and/or statistical/mathematical software (e.g., R) are preferred but not mandatory
  • Experience in both qualitative analysis (including content analysis, hypothesis testing) and quantitative analysis methodologies (such as regression analysis and cluster analysis)
  • Proven ability to initiate and complete analytical projects independently
  • Experience effectively presenting technical topics to non-technical audiences and leadership

Desirable Qualifications
  • Advanced degree in Mathematics, Statistics, a relevant technical field, or equivalent experience
  • Experience conducting statistical analysis (e.g., regression, probability) with tools like Python, R, MATLAB, SPSS, SAS, Stata, etc.
  • Familiarity with digital advertising or ad monetization
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