Senior Analyst, Snowflake
GTM Analytics
$138-180.6k
Plus bonus and equity plan
3+ days a week in office ( Menlo Park, CA)
AI Data Cloud for data sharing and app building
Be an early applicant
AI Data Cloud for data sharing and app building
1001+ employees
Be an early applicant
$138-180.6k
Plus bonus and equity plan
3+ days a week in office ( Menlo Park, CA)
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- Technical Mastery: 5+ years of experience in Analytics/BI within large-cap tech companies or high-growth SaaS environments; featuring advanced SQL, hands-on dbt proficiency, and strong Python skills for data transformation, analysis, and building AI-powered data applications
- Business Acumen & Strategic Partnership: A track record of partnering directly with Marketing leadership to drive strategic decisions. You think in terms of pipeline, conversion rates, and campaign ROI — not just tables and joins
- AI & Innovation Literacy: Experience with or strong interest in building AI-driven analytics workflows — including semantic models, text-to-SQL, Cortex Analyst, or similar natural-language data interfaces — using Python and data app frameworks like Streamlit
- Marketing Domain Expertise: Proven experience with B2B marketing technology stacks (Salesforce, Marketo/Eloqua/HubSpot) and familiarity with the data pipeline ecosystem (Airflow, dbt, Snowflake)
- Executive Presence: Comfortable presenting to, advising, and pushing back on Director+ stakeholders — with the ability to work across different cultures and time zones
- We’re looking for people who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake
What the job involves
- Our Data Analytics and AI org (DAA) is actively seeking a Senior Analyst, GTM Analytics to contribute to building our framework to identify opportunities for new logo acquisition and core customer expansion
- Examples of deliverables include account based marketing insights, agentic field marketing optimization, architecting intelligent data foundations, and diving into core org metrics such as ROI and funnel leakage
- Be a Strategic Partner to Core Marketing Functions: Partner with Account Based Marketing executives to align analytics initiatives with global business objectives — active GTM alignment, technical roadmap strategy, shaping investment decisions, and proactively surfacing insights that move the business, not just inform it
- Turn Data into Business Outcomes: Go beyond reporting to influence pipeline generation, conversion optimization, and campaign ROI — presenting complex analytical findings to the team with clarity and impact. You measure success by decisions changed, not dashboards shipped
- Master the Analytical Foundation: Maintain deep fluency in the data models, metrics, and pipelines (SQL, dbt, Snowflake) that power GTM reporting. Partner closely with Analytics Engineering and Data Engineering teams to ensure insights are accurately surfaced — and step in hands-on-keys when needed to build, debug, or extend models
- Amplify Reach with AI & Automation: Automating trivial workflows is just the surface - transform the way we work through AI systems and architecting secure solutions for both internal and stakeholder efficiency
- Champion Data Quality & Governance: Ensure data integrity across source systems (Salesforce, Marketo, Snowflake) through automated testing and reconciliation. Spearhead data infrastructure improvements and best practices the team can trust at scale
- Establish Thought Leadership: Represent the company in the business intelligence space at industry events and champion innovation across the analytics org. Engage with customers regularly to share best practices and evangelize our work
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
37% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
SERIES G
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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