Lead Business Intelligence Engineer

Snap Inc.•Los Angeles, CA

1d•$162,000 - $284,000•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 conduct in-depth client analysis. The role helps business and company leadership make data-driven decisions by analyzing and combining information from multiple sources, then communicating findings as clear, logical stories and recommendations. The position partners with cross-functional teams on measurement strategies, product insights, and data tools, and works with Revenue Programs and Revenue Strategy to identify growth levers and support revenue growth. It also builds and maintains dashboards and reports that help the business understand advertiser performance and product development from a client-centric perspective. Snap follows a “default together” approach, expecting team members to work in an office 4+ days per week. The role is eligible for RSUs. U.S. base salary ranges by pay zone are $190,000–$284,000 annually in Zone A (CA, WA, NYC), $181,000–$270,000 in Zone B, and $162,000–$241,000 in Zone C. Starting pay depends on job-related skills, experience, qualifications, work location, and market conditions.

Requirements

At least 6 years of experience in quantitative analysis and research.
Proficiency in SQL and Python or R for analysis and data visualization.

Nice To Haves

Bachelor’s degree in computer science, economics, mathematics, or equivalent; listed as preferred in the posting.
A 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 also collaborating as a team player.
Ability to understand business problems and design implementable, efficient, and scalable technical data-based solutions.
Experience analyzing large data sets and producing actionable insights.
Comfort interpreting complex data signals and presenting to technical and non-technical audiences.

Responsibilities

Analyze and combine information from multiple sources to understand business challenges and help leadership make data-driven decisions.
Identify performance trends across auction campaigns and recommend optimizations; share best practices across the account management group.
Provide analysis, insights, reports, and actionable recommendations to support 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 clear data storytelling.
Build and maintain dashboards and reports to 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 provide actionable data insights supporting various treatments.
Partner with Revenue Strategy to understand growth levers and drive revenue growth.
Provide thought leadership on vertical or category industry trends to inform or strengthen Snap’s in-market pitch.