Related skills
hubspot bigquery looker salesforce dbt📋 Description
- Revenue data layer ownership: design, build, and maintain revenue models in dbt.
- Stakeholder partnership: align with Sales, CS, Revenue Ops; define metrics.
- Requirements gathering: talk to data users; translate needs into clear specs.
- Pragmatic delivery: 80/20 delivery; ship quick yet build durable, governed data products.
- Modeling craft: well-tested, documented dbt models with conventions.
- Data products & tiering: sandbox to regulated models for Finance/board.
🎯 Requirements
- 5+ years analytics engineering or modeling in B2B SaaS
- Revenue domain expertise: ARR, bookings, pipeline, churn, NRR
- CRM experience: HubSpot and/or Salesforce modeling
- Requirements translation: turn loose requirements into dbt outputs
- 80/20 judgement; ship fast or build durable data products
- Data infrastructure: BigQuery, dbt, Fivetran/Airbyte, Looker/Omni
🎁 Benefits
- Monthly lifestyle subsidy
- WFH setup allowance
- $1500 USD annual L&D allowance
- Annual leave + 2 UpGuardian days
- 18 weeks paid parental leave
- Fully remote with top-spec hardware and Generative AI subsidy
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