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Marketing Science Business Intelligence Lead

Marketing Science Business Intelligence Lead

CompanySnapchat
LocationLos Angeles, CA, USA
Salary$133000 – $235000
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelSenior

Requirements

  • Bachelor’s or Master’s degree in Economics, Statistics, Business Analytics, Data Science, or a related field
  • 5+ years in marketing science, business intelligence, or analytics roles
  • Proficiency in advanced analytics tools (SQL, Looker Studio, Python, R, Tableau, Power BI, or equivalent BI platforms)

Responsibilities

  • Leverage expertise in Marketing Science, structured testing & learning, Go-to-Market product launches, and business intelligence to drive impactful decision-making and performance optimization
  • Collaborate with Product Marketing, Product Management, and Engineering teams to define data-driven strategies for product launches, track adoption goals, and ensure new products achieve measurable success in the market
  • Develop and maintain strategic frameworks for testing new products at Snap
  • Lead the creation and execution of structured A/B tests and multivariate experiments to evaluate the effectiveness of both ad products and campaign strategies
  • Build and maintain dashboards that consolidate data from multiple sources, delivering actionable insights across marketing, product, and business teams
  • Create scalable reporting solutions to track Advertiser KPI health, product adoption metrics, best practice adherence, and campaign performance
  • Partner with engineering and analytics teams to ensure the accuracy, reliability, and scalability of BI tools
  • Support pre-launch alpha/beta testing by designing experiments, analyzing results, and providing recommendations for optimization
  • Act as the bridge between Marketing Science, Product, and Business teams to ensure alignment on goals, metrics, and strategies

Preferred Qualifications

  • Experience in launching new products and scaling adoption in a tech or SaaS environment
  • Familiarity with cloud-based data platforms (e.g., BigQuery, Snowflake)
  • Background in marketing or advertising for highly data-driven organizations