Responsibilities

• Be the primary driver of performance improvement across key measurement solutions, strategic partners, and top advertisers through a mix of learning agenda development, measurement strategy, experimental design, causal analytics, and ads efficacy solution prototyping
• Lead measurement, research, and learning plans for key clients, partners, and solutions in support of advertiser objectives, Snap’s business goals, and the long-term growth of the ads business
• Develop strategy, prioritization, and roadmaps for ads measurement and insights products across assigned solutions, partners, industries, or verticals
• Work closely with Product, Engineering, Data Science, and R&D teams to identify, prototype, validate, and scale new measurement solutions and capabilities for the broader Marketing Science organization
• Lead the scoping and development of custom multi-study meta-analyses in partnership with Data Science, R&D, and external partners to understand the relative impact of different marketing strategies across digital platforms and media
• Build measurement capabilities, performance guidance, and advocacy across verticals, strategic partners, advertisers, cross-functional teams, and the broader industry
• Partner with Sales teams to deliver actionable insights, consultative recommendations, and measurement best practices that improve advertiser performance and strengthen client relationships
• Contribute to thought leadership initiatives that establish Snap’s perspective on measurement, attribution, and advertising effectiveness within the industry
• Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.

Requirements

• Bachelor’s degree in a quantitative or business field, or equivalent years of practical work experience
• 5+ years of post-Bachelor’s advanced analytics and measurement experience; or Master’s degree in a quantitative or business field + 4 years of post-graduate advanced analytics and measurement experience; or PhD in a relevant quantitative or business field + 1 year of post-graduate advanced analytics and measurement experience
• Experience in marketing science, product strategy, ads measurement or a related field within a technology, media agency, consulting firm, advertiser, or research company
• Ability to structure and conduct analyses to generate insight and recommendations
• Clear and concise communication; comfortable with presenting insights and recommendations to senior stakeholders
• Understanding of measurement concepts, solutions, and underlying statistical fundamentals leveraged in the ads efficacy and measurement ecosystem
• Subject matter expertise in at least one of the following areas: conversion lift, brand lift, or econometrics modeling
• Understanding of applied statistics including sampling approaches, causal modeling, time series analysis, and data-mining techniques
• Proficiency with advanced analytical tools (e.g. SQL, R, SAS)
• Access, analyze, interpret, and communicate ads performance insights using a wide range of standard data science tooling

Preferred

• Advanced degree in business, math, economics, engineering or a related field
• Direct work experience with top performance or brand advertisers
• Experience with ads measurement for one or more of the following verticals: technology, entertainment, travel, telco, or finance
• Experience building and influencing client or partner relationships