Senior Program Analyst, Revenue Growth

Spotify•New York, NY

1d•$92,293 - $131,847•Hybrid

About The Position

Sell what you love. For us and millions of users across the globe, that’s Spotify. Join the Sales team and you’ll build the relationships that help grow our business in existing markets and beyond. We don’t just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts. Our Revenue Growth team drives advertiser acquisition and retention at scale by turning data into action. We build and run scalable go-to-market programs that help advertisers succeed, through lifecycle communications and seller-facing actions. As a Senior Program Analyst, you’ll use analysis to uncover what drives advertiser growth and retention, then design and launch measurable programs (automated emails, in-product messaging, and prioritized seller actions) that improve performance and revenue. What You’ll Do You’ll work on problems that drive revenue, require business judgment, and impact advertisers at scale. Develop and run lifecycle programs that improve advertiser activation, retention, and revenue. Define audiences, messaging, and timing across channels like email, in-product surfaces, and seller outreach, and continuously refine based on performance. Turn advertiser and campaign signals into clear, actionable recommendations for Sales and Customer Success teams. Partner with product and tooling teams to embed these actions directly into seller workflows. Use SQL to identify opportunities, size impact, and evaluate results. Design and run practical experiments, including A/B tests, to validate ideas and optimize go-to-market efforts for incremental revenue growth. Partner across Sales, Marketing, Product, and Insights to bring programs to market, navigate tradeoffs, and improve adoption. Help ensure a consistent and seamless advertiser experience across all touchpoints. Apply AI tools thoughtfully to improve speed, scale, and consistency in execution, including drafting, summarization, and personalization, with clear quality checks and success metrics in place.

Requirements

5+ years of experience in growth/marketing analytics, lifecycle/CRM, strategy & ops, consulting, or product/growth roles with clear business impact.
Advertising Fluency: experience with digital advertising and performance optimization (agency, ad-tech/platform, publisher, or in-house).
Structured thinker: you can break down messy problems into clear frameworks, tradeoffs, and action plans.
Strong analytical foundation: advanced SQL and comfort working with large datasets to answer ambiguous questions.
Execution-oriented operator: you can turn an insight into a shipped program, align cross-functional stakeholders, and drive adoption through launch and iteration.

Nice To Haves

Applied AI (nice to have): you’ve used AI tools in business workflows, with disciplined measurement and a focus on scaled adoption.

Responsibilities

Develop and run lifecycle programs that improve advertiser activation, retention, and revenue.
Define audiences, messaging, and timing across channels like email, in-product surfaces, and seller outreach, and continuously refine based on performance.
Turn advertiser and campaign signals into clear, actionable recommendations for Sales and Customer Success teams.
Partner with product and tooling teams to embed these actions directly into seller workflows.
Use SQL to identify opportunities, size impact, and evaluate results.
Design and run practical experiments, including A/B tests, to validate ideas and optimize go-to-market efforts for incremental revenue growth.
Partner across Sales, Marketing, Product, and Insights to bring programs to market, navigate tradeoffs, and improve adoption.
Help ensure a consistent and seamless advertiser experience across all touchpoints.
Apply AI tools thoughtfully to improve speed, scale, and consistency in execution, including drafting, summarization, and personalization, with clear quality checks and success metrics in place.