SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Snowflake's Data Analytics and AI organization is seeking a Senior Analyst, GTM Analytics to build frameworks for identifying new logo acquisition and core customer expansion opportunities. This is a hybrid role (3 days in Menlo Park, CA) reporting into the GTM analytics function.
You will serve as a strategic partner to Account Based Marketing executives, aligning analytics initiatives with global business objectives. Your focus is on turning data into business outcomes—influencing pipeline generation, conversion optimization, and campaign ROI through clear, impactful analytical findings. Success is measured by decisions changed, not dashboards shipped.
Key responsibilities include:
- Partnering with ABM and marketing leadership to align analytics with business strategy, inform technical roadmaps, and shape investment decisions
- Delivering account-based marketing insights, field marketing optimization, and intelligent data foundation architecture
- Maintaining deep fluency in data models, metrics, and pipelines (SQL, dbt, Snowflake) that power GTM reporting
- Collaborating with Analytics Engineering and Data Engineering teams to ensure accurate insights; building, debugging, and extending models hands-on when needed
- Automating workflows and architecting AI-driven solutions to improve internal and stakeholder efficiency
- Ensuring data integrity across source systems (Salesforce, Marketo, Snowflake) through automated testing and reconciliation
- Championing data infrastructure improvements and best practices at scale
- Representing the company at industry events and engaging with customers to share best practices
Snowflake emphasizes an AI-native, experimental mindset across the organization. The company values low-ego individuals who thrive in dynamic environments and treat AI as a high-trust collaborator.
REQUIREMENTS:
- 5+ years of experience in Analytics/BI within large-cap tech companies or high-growth SaaS environments
- Advanced SQL proficiency and hands-on dbt expertise
- Strong Python skills for data transformation, analysis, and building AI-powered data applications
- Track record of partnering directly with Marketing leadership to drive strategic decisions; fluency in pipeline, conversion rates, and campaign ROI
- Experience with or strong interest in building AI-driven analytics workflows (semantic models, text-to-SQL, Cortex Analyst, or similar natural-language data interfaces)
- Proven experience with B2B marketing technology stacks (Salesforce, Marketo/Eloqua/HubSpot) and data pipeline ecosystem (Airflow, dbt, Snowflake)
- Executive presence; comfortable presenting to, advising, and pushing back on Director+ stakeholders
- Ability to work across different cultures and time zones
