Senior Program Analyst – GTM Ops

Spotify

. Work on high-impact data problems supporting revenue growth and scaling the advertising business .

Posted 10/9/2026full-timeNew York City • New York • United StatesSenior💰 $92,293 - $131,847 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics engineering and BI engineering, with a strong focus on building and maintaining dbt models and BigQuery pipelines. Capable of translating business needs into actionable data outputs and reports while collaborating effectively with sales teams and leadership.

Highest-signal resume keywords

SQLBigQueryDbtAnalytics EngineeringData Reporting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringBI EngineeringData ReportingSQLBigQueryDbt ModelsData Pipeline MonitoringData VisualizationLLM-Driven PipelinesData Translation

Soft Skills

Clear CommunicationCollaborationCuriosity

Industry Keywords

Revenue GrowthSales ProcessData WorkflowsOperational ReliabilityGo-To-Market

Tech Stack

Tools & technologies

BigQuerySQL

About the role

Key responsibilities & impact

Work on high-impact data problems supporting revenue growth and scaling the advertising business
Build and maintain dbt models and BigQuery pipelines powering team tools and seller-facing reporting
Monitor pipeline health, identify issues, and partner with data engineering and Insights teams to resolve upstream challenges
Create dashboards and reports for sales teams, translating business needs into actionable views
Partner with sales teams and leadership to scope solutions and deliver data supporting prioritization and decision-making
Improve sales-process data usage by surfacing signals for focus, personalized outreach, and opportunity closure
Support and extend unstructured-data pipelines using LLMs, ensuring reliable, validated, usable outputs in BigQuery

Requirements

What you’ll need

4+ years of experience in analytics engineering, BI engineering, or data/reporting roles, ideally supporting go-to-market, growth, or sales teams
Experience with SQL and BigQuery
Experience with dbt and maintaining models within an existing DAG
Operational reliability mindset
Ability to communicate clearly and partner with non-technical stakeholders
Ability to translate business questions into structured data outputs and reporting
Curiosity about applying AI in data workflows, including LLM-driven pipelines

Benefits

Comp & perks

Health insurance
Six-month paid parental leave
401(k) retirement plan
Monthly meal allowance
23 paid days off
13 paid flexible holidays
Paid sick leave
Equity