Lead Business Intelligence Engineer

Snap•Santa Monica, CA

8d•Onsite

About The Position

Snap Inc. is seeking a Lead, Business Intelligence Engineer to work closely with the Sales team to uncover actionable insights, identify aggregate vertical trends, and perform in-depth client analysis. The role helps the business and its leadership make data-driven decisions by combining and analyzing information from multiple sources and communicating findings as clear, logical data stories. The position supports revenue growth and advertiser performance through campaign analysis, optimization recommendations, dashboards, reports, and actionable insights. It partners with cross-functional teams on measurement strategies, product testing, data tools, revenue programs, and revenue strategy, and provides industry and category perspectives to inform Snap’s in-market pitches. Snap follows a “default together” approach, with team members expected to work in an office four or more days per week. The role is eligible for equity in the form of RSUs. U.S. base salary ranges vary by pay zone: Zone A (CA, WA, NYC), $190,000–$284,000 annually; Zone B, $181,000–$270,000 annually; and Zone C, $162,000–$241,000 annually.

Requirements

At least 6 years of experience in quantitative analysis and research.
Proficiency in SQL and Python or R for analysis and data visualization.
Bachelor’s degree in computer science, economics, mathematics, or equivalent preferred.

Nice To Haves

Data-driven and analytical mindset.
Strong attention to detail and organizational skills.
Ability to work in an agile, dynamic environment.
Ability to work independently while collaborating as a team player.
Ability to understand business problems and design technical, data-based solutions that are implementable, efficient, and scalable.
Experience analyzing large datasets and developing actionable insights.
Comfort interpreting complex data signals and presenting to technical and non-technical audiences.

Responsibilities

Analyze information from multiple sources and turn findings into clear, data-driven insights to help the business and leadership make decisions.
Identify performance trends across auction campaigns and provide optimization recommendations; share best practices across the account management group.
Provide analysis, insights, reports, and actionable recommendations to affect client and business success.
Partner with cross-functional teams to develop measurement agendas and strategies, provide data-based insights for products in alpha or beta, and give feedback on data tools in development.
Explain complex analytical concepts to broader audiences and influence decisions through data storytelling.
Build and maintain dashboards and reports that help the business understand and optimize advertiser performance and product development from a client-centric perspective.
Proactively identify revenue-impacting projects, define their scope and objectives, and propose courses of action to achieve them.
Work with the Revenue Programs team to support treatments with actionable data insights.
Partner with Revenue Strategy to understand growth levers and drive revenue growth.
Provide thought leadership on vertical and category industry trends to inform or strengthen Snap’s in-market pitch.