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 join Team Snapchat and work closely with the Sales team. The role focuses on unlocking revenue and driving category growth by identifying actionable insights, including aggregate vertical trends and in-depth client analysis. The position combines data from multiple sources to help the business and its leaders make informed decisions, and translates complex analysis into clear stories and recommendations. The role also supports advertiser performance, product development, revenue programs, and Snap’s in-market pitches through dashboards, measurement strategies, and industry insights. Snap follows a “default together” approach, expecting team members to work in an office four or more days per week. The position is eligible for equity in the form of RSUs. In the United States, annual base salary ranges are $190,000–$284,000 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.
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 data sets and developing 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 support data-driven decisions.
Identify performance trends across auction campaigns and recommend optimizations; share best practices with 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 alpha or beta products, and give feedback on data tools in development.
Explain complex analytical concepts to broader audiences and influence decision-making 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 identify growth levers that drive revenue growth.
Provide thought leadership on vertical or category industry trends to inform or strengthen Snap’s in-market pitch.