Associate Business Intelligence Analyst enhancing credit risk decision - making through analysis and reporting. Developing dashboards and preparing risk management reports for lending businesses.
About the role
- 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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