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Описание вакансии
Текст:
TL;DR
Staff Analyst, GTM Analytics (AI) (SQL/dbt/Snowflake): Building analytics foundations, agentic campaign activation workflows, and AI-powered data applications to identify new-logo acquisition and customer expansion opportunities with an accent on pipeline generation, conversion optimization, and campaign ROI. Focus on designing semantic models and natural-language data interfaces, improving data quality across Salesforce, Marketo, and Snowflake, and advising marketing executives on strategic decisions.
Location: Hybrid, three days per week in the office in Menlo Park, California, United States
Salary: $163,000–$214,200 per year
Company
Snowflake provides cloud data and AI technology for enterprises.
What you will do
- Partner with marketing executives to align GTM analytics initiatives, technical roadmaps, and investment decisions with global business objectives.
- Analyze pipeline generation, conversion optimization, campaign ROI, and funnel leakage to influence business decisions.
- Maintain and extend data models, metrics, and pipelines using SQL, dbt, and Snowflake, collaborating with Analytics Engineering and Data Engineering.
- Build AI-powered analytics workflows, agentic campaign activation systems, and secure automation solutions.
- Improve data quality and governance across Salesforce, Marketo, and Snowflake through automated testing and reconciliation.
- Present insights to executives, represent the company at industry events, and share analytics best practices with customers.
Requirements
- 7+ years of experience in analytics or business intelligence within large technology companies or high-growth SaaS environments.
- Advanced SQL, hands-on dbt, and strong Python skills for transformation, analysis, and AI-powered data applications.
- Experience partnering with marketing leadership and using pipeline, conversion, and campaign ROI metrics.
- Experience with B2B marketing technology such as Salesforce, Marketo, Eloqua, or HubSpot.
- Familiarity with Airflow, dbt, Snowflake, semantic models, text-to-SQL, Cortex Analyst, or similar natural-language data interfaces.
- Ability to present to, advise, and challenge VP-level stakeholders while working across cultures and time zones.
Culture & Benefits
- AI-native, experimental approach to solving problems and improving how work gets done.
- Fast-growing environment focused on innovation and challenging conventional thinking.
- Opportunity to contribute to Snowflake's long-term growth and future.
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