Senior Program Analyst - GTM Ops

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 - GTM Ops, you'll own the technical layer that makes Revenue Growth actually run. Working within Spotify's broader data infrastructure, you'll build the team-specific tools, endpoints, and pipelines our programs depend on — the reporting that helps sellers act, the data feeds that power our advertiser tools, the pipelines that keep everything moving. Your work won't be abstract; it shows up directly in what the team ships and what sellers experience.

What You’ll Do

Work on high-impact data problems that support revenue growth and help our advertising business scale

Build and maintain dbt models and BigQuery pipelines that power team tools and seller-facing reporting

Monitor pipeline health, identify issues early, and partner with data engineering and Insights teams to resolve upstream challenges

Create dashboards and reports that sales teams rely on, translating business needs into clear, actionable views

Partner closely with sales teams and leadership to understand needs, scope solutions, and deliver data that supports prioritization and decision-making

Improve how data is used in the sales process by surfacing signals that help teams focus, personalize outreach, and close opportunities

Support and extend pipelines that process unstructured data using LLMs, ensuring outputs are reliable, validated, and usable within BigQuery

Who You Are

You have 4+ years of experience in analytics engineering, BI engineering, or data/reporting roles, ideally supporting go-to-market, growth, or sales teams

You are experienced with SQL and BigQuery, and build with reliability and maintainability in mind

You have worked with dbt and understand how to extend and maintain models within an existing DAG

You enjoy building systems that work consistently for a team and take pride in operational reliability

You communicate clearly and can partner directly with non-technical stakeholders to understand needs and deliver solutions

You are comfortable translating business questions into structured data outputs and reporting

You are curious about applying AI in data workflows, including working with or learning about LLM-driven pipelines

Where You’ll Be

This role is based in New York City.

We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.