{"id":2193422,"url":"https://alion.io/job/spotify-senior-program-analyst-gtm-ops","title":"Senior Program Analyst - GTM Ops","company":{"id":57,"name":"Spotify","domain":"spotify.com","url":"https://alion.io/company/spotify","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":77,"open_postings":11,"ghost_share":0,"stale_share":0.909,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":206000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1559},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LLM","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-09T13:26:45Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-14T15:11:33Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"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.\nAs 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.\nWhat You’ll Do\nWork on high-impact data problems that support revenue growth and help our advertising business scale\nBuild and maintain dbt models and BigQuery pipelines that power team tools and seller-facing reporting\nMonitor pipeline health, identify issues early, and partner with data engineering and Insights teams to resolve upstream challenges\nCreate dashboards and reports that sales teams rely on, translating business needs into clear, actionable views\nPartner closely with sales teams and leadership to understand needs, scope solutions, and deliver data that supports prioritization and decision-making\nImprove how data is used in the sales process by surfacing signals that help teams focus, personalize outreach, and close opportunities\nSupport and extend pipelines that process unstructured data using LLMs, ensuring outputs are reliable, validated, and usable within BigQuery\nWho You Are\nYou have 4+ years of experience in analytics engineering, BI engineering, or data/reporting roles, ideally supporting go-to-market, growth, or sales teams\nYou are experienced with SQL and BigQuery, and build with reliability and maintainability in mind\nYou have worked with dbt and understand how to extend and maintain models within an existing DAG\nYou enjoy building systems that work consistently for a team and take pride in operational reliability\nYou communicate clearly and can partner directly with non-technical stakeholders to understand needs and deliver solutions\nYou are comfortable translating business questions into structured data outputs and reporting\nYou are curious about applying AI in data workflows, including working with or learning about LLM-driven pipelines\nWhere You’ll Be\nThis role is based in New York City.\nWe offer you the flexibility to work where you work best! 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