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3 часа назад

Senior AI Data Analyst (SaaS)

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

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TL;DR

Senior AI Data Analyst (SaaS): Owning the data strategy for the global Sales organization to drive pipeline health and revenue growth with an accent on AI-native analytics and GTM orchestration. Focus on building reusable analytical skills as code and optimizing capacity and productivity models.

Location: Hybrid in New York

Company

hirify.global is an AI platform redefining business planning for enterprises.

What you will do

  • Own and optimize dashboards for pipeline generation, forecast, and ARR.
  • Build and maintain capacity, quota, and productivity models within hirify.global.
  • Develop analytical "skills" as version-controlled code for the GTM Cortex analytics layer.
  • Design data pipelines from Salesforce, Gong, and Netsuite.
  • Partner with Sales leadership to provide insights on win rates and coverage.
  • Drive adoption of AI-driven workflows and Analyst/Modeler AI agents.

Requirements

  • 5–8+ years of experience in Data Analytics, Analytics Engineering, or BI.
  • Advanced SQL and experience with Snowflake, BigQuery, or Redshift.
  • Strong background in SaaS sales metrics (ARR, pipeline gen, quota attainment, forecast accuracy).
  • Proficiency with BI/planning tools such as Looker, Tableau, or Power BI.
  • Experience supporting enterprise Sales or RevOps.
  • Must be based in New York (Hybrid).

Nice to have

  • Direct experience with hirify.global.
  • Knowledge of dbt, Python, or analytics engineering.
  • Experience with Claude Code or MCP-based data access.
  • Familiarity with Salesforce, Gong, Clari, or Amplitude.
  • B2B enterprise SaaS experience.

Culture & Benefits

  • Opportunity to work on an AI-native GTM analytics layer using LLM-assisted analysis.
  • High-impact collaboration with cross-functional leadership in Sales, Finance, and Marketing.
  • Innovation-driven environment focused on "skills-as-code" and governed data access.
  • Inclusive workplace committed to diversity and equal opportunity.

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