Lead Business Intelligence Engineer at Snap driving category growth through actionable insights and data-driven decisions. Collaborating with Sales to optimize advertiser performance and guide product development.
Responsibilities
Understanding challenges the business faces and helping them to make decisions based on data driven insights by collating and analyzing information from multiple sources and a logical and coherent story.
Identify performance trends across auction campaigns to fuel optimization recommendations; evangelize best practices across the account management group
Use data and logic to impact client and business success by providing analysis, insights,reports and actionable recommendations
Build and maintain dashboards and reports to help the business understand and optimize advertiser performance and product development through a client-centric lens.
Requirements
Bachelor’s degree in computer science/economics/mathematics or equivalent preferred
6+ years experience in quantitative analysis and research
Proficiency in sql and python/R for analysis and data visualization
Benefits
paid parental leave
comprehensive medical coverage
emotional and mental health support programs
compensation packages that let you share in Snap’s long-term success
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