✦ Luna Orbit — Data & Analytics

Senior Data Analyst, GTM Analytics

at ReCharge

📍 Remote, US Remote 💰 $152K – $190K USD / year Posted April 15, 2026
Salary $152K – $190K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

Senior Data Analyst for GTM Analytics at Recharge, partnering with GTM leadership and the central Data & Analytics team. You will build dbt models and Looker reporting, then apply SQL/Python analysis to drive forecasting, pipeline/funnel performance insights, and AI-first data product delivery.

  • Build durable, documented, tested dbt models for GTM reporting
  • Create Looker explores, dashboards, and standardized reporting for self-serve
  • Implement data quality checks, monitoring, and model documentation
  • Use SQL (and Python as needed) to analyze trends and diagnose performance drivers
  • Leverage LLMs/AI to design and ship data products that improve time-to-insight

Analytics engineering in dbt to produce durable, documented, tested dimensional models that power GTM metrics. Reporting and self-serve enablement via Looker explores/dashboards, supported by SQL analysis and optional Python, plus AI-first data product work using LLMs/AI.

The ideal candidate is a Senior Data Analyst who has built analytics engineering models in dbt and delivered scalable reporting in Looker for GTM teams. They are strong in SQL (with Python as needed), can design dimensional metrics and “one version of the truth” datasets, and have an AI-first mindset to ship data products using LLMs/AI that improve time-to-insight and self-serve adoption.

Build and maintain durabledocumentedtested models in dbtDevelop and maintain Looker exploresdashboardsand standardized reportingPerform analysis using SQL (and Python as needed)Leveraging LLMs/AI to design and ship data products
dbtLookerSQLPythonLLMs/AI
dbtLookerSQLPythonanalytics engineeringdimensional modelsfacts/dimensionsmetrics definitionsone version of the truthdata quality checksmonitoringmodel documentationLLMs/AIdata product managementself-serve insightsforecastingpipeline reportingfunnel conversion
dbtLookerAnalytics Engineeringdimensional modelingfacts/dimensionsmetrics definitionsone version of the truth datasetsdata quality checksmonitoringmodel documentationSQLPythondata product managementLLMs/AIdata productstime-to-insightself-serve insightspipeline reportingfunnel reportingconversion reportingbookingsforecastingrep performanceaccount healthinstrumentationsource system hygienepipeline reliabilityGTM narrativesterritory/segment opportunitieswin-rate driversdeal velocitytesting models in dbt
ownershipempathyday-one mindsethumilitycommunicationcollaboration with GTM stakeholderscuriositycross-functional partnershiptranslating business questions into analysis plansproactive monitoringleadership/partnering with data engineering
Industry SaaS
Job Function Deliver GTM analytics through trusted analytics engineering and AI-first data products
Role Subtype Analytics Engineer
Tech Domains Python, SQL / PostgreSQL
Senior Data AnalystGTM AnalyticsGo-To-MarketGo-To-Market OrganizationSalesBusiness DevelopmentRevenue OperationsDemand Generationcentral Data & Analytics teamdbtLookerAnalytics Engineeringdata product managementLLMsLLMs/AIAI-firsttime-to-insightself-serve adoptiondimensional modelsfacts/dimensionsmetrics definitionsone version of the truthSQLPythondata quality checksmonitoringmodel documentationinstrumentationsource system hygienepipeline reliabilitypipelinefunnelconversionbookingsforecastingrep performanceaccount healthwin-rate driversdeal velocityterritory/segment opportunitiesGTM narrativesself-serve insights

Must demonstrate experience building dbt models and shipping Looker dashboards/explores, Must be able to perform analysis using SQL (Python as needed)

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