Назад
12 часов назад

Staff Analyst, GTM Analytics (SaaS)

Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
UK
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

Staff Analyst, GTM Analytics (SaaS): Building a framework to monitor business health through metrics analysis with an accent on ROI optimization and GTM strategy. Focus on transforming GTM data into actionable intelligence, automating reporting via AI-driven interfaces, and partnering with executive leadership.

Location: GB-London

Company

Snowflake is a cloud data platform powering the era of the agentic enterprise through AI-native solutions.

What you will do

  • Partner with GTM executives to align analytics initiatives with global business objectives and drive QBRs.
  • Analyze pipeline generation, conversion optimization, and campaign ROI to influence strategic business outcomes.
  • Translate complex business questions into scalable analytical solutions using SQL, dbt, and Snowflake.
  • Develop AI self-service capabilities and productivity tools using semantic models, text-to-SQL, and Cortex Analyst.
  • Ensure data integrity across Salesforce, Marketo, and Snowflake through automated testing and reconciliation.
  • Represent the company as a thought leader in the business intelligence space at industry events.

Requirements

  • 6+ years of experience in Analytics/BI within large-cap tech or high-growth SaaS environments.
  • Technical mastery of advanced SQL, dbt, and Python for data transformation and AI-powered applications.
  • Proven experience with B2B GTM technology stacks including Salesforce and Marketo, Eloqua, or HubSpot.
  • Familiarity with the data pipeline ecosystem, specifically Airflow and Snowflake.
  • Experience or strong interest in building AI-driven analytics workflows using frameworks like Streamlit.
  • Executive presence with the ability to advise and push back on VP+ stakeholders.

Culture & Benefits

  • Fast-moving, dynamic environment that values an experimental mindset and rapid testing.
  • Culture of treating AI as a high-trust collaborator to accelerate professional impact.
  • Collaborative, low-ego team environment focused on redefining the future of work.
  • Opportunity to work within a global team across different cultures and time zones.

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