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8 часов назад

GTM Data Analyst

190 000 - 270 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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 hirify.global's equity plan.

Company

hirify.global 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 hirify.global's equity plan.

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