8 часов назад
GTM Data Analyst
190 000 - 270 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
GTM Data Analyst (SQL/dbt): Building canonical data models, attribution layers, and analytical foundations that unify Salesforce, billing, marketing, partner, and product data with an accent on data quality, revenue analytics, and go-to-market decision support. Focus on designing scalable dbt schemas, resolving data integrity issues, and producing defensible analyses for forecasting, marketing spend, pipeline, and territory planning.
Location: San Francisco, United States; hybrid work required.
Base salary: $190,000–$270,000 per year, plus eligibility for 's equity plan.
Company
builds and deploys enterprise networking hardware, software, and operations infrastructure.
What you will do
- Build canonical dbt models for accounts, opportunities, marketing touches, and revenue.
- Unify fragmented data from Salesforce, HubSpot, Stripe, advertising platforms, partner systems, and product telemetry.
- Develop attribution and funnel layers to compare customer acquisition through partner, paid, and outbound channels.
- Partner with finance, marketing, sales, and GTM leadership on forecasting, budgeting, territory coverage, and pipeline analysis.
- Design schemas for new data sources and review models and tests to prevent data regressions.
Requirements
- Experience serving as an analytical partner within a go-to-market function.
- Advanced SQL skills, including window functions, CTEs, and set operations.
- Strong dbt experience, including staging and marts, incremental models, snapshots, and durable schema design.
- Experience working with Salesforce, billing systems, marketing platforms, and product data.
- Ability to structure marketing performance analyses and communicate uncertainty clearly.
- Deep experience with Snowflake, BigQuery, Tableau, or other modern data stacks.
Culture & Benefits
- Work closely with finance, marketing, sales, and engineering stakeholders.
- Combine rapid analytical improvements with long-term data foundation building.
- Participate in 's equity plan.
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