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Описание вакансии
Текст:
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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