Staff Analyst, GTM Analytics

Posted Yesterday
Be an Early Applicant
Menlo Park, CA, USA
In-Office
163K-214K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Partner with Marketing leadership to translate data into business outcomes: build and maintain GTM data models and pipelines (SQL, dbt, Snowflake), influence pipeline and ROI decisions, implement AI-driven analytics and automation, ensure data quality across Salesforce/Marketo, and represent analytics work externally.
Summary Generated by Built In

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Our Data Analytics and AI org (DAA) is actively seeking a Staff Analyst, GTM Analytics to contribute to building our framework to identify opportunities for new logo acquisition and core customer expansion. Examples of deliverables include agentic campaign activation platform, architecting intelligent data foundations, and diving into core org metrics such as ROI and funnel leakage.

This is a hybrid (3 days in office) role in Menlo Park

IN THIS ROLE YOU WILL:

  • Be a Strategic Partner to Leadership: Partner with 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 IDEAL CANDIDATE WILL HAVE:

  • Technical Mastery: 7+ 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 VP+ 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.

Are you up for the challenge?

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Skills Required

  • 7+ years of experience in Analytics/BI within large-cap tech or high-growth SaaS environments
  • Advanced SQL
  • Hands-on dbt proficiency
  • Strong Python skills for data transformation, analysis, and building AI-powered data applications
  • Experience with or strong interest in AI-driven analytics workflows (semantic models, text-to-SQL, Cortex Analyst) and data app frameworks like Streamlit
  • Proven experience with B2B marketing stacks (Salesforce, Marketo, Eloqua, HubSpot)
  • Familiarity with data pipeline ecosystem (Airflow, dbt, Snowflake) and ability to partner with Analytics/Data Engineering
  • Executive presence; comfortable presenting to and advising VP+ stakeholders

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Fair & Transparent Compensation Pay is considered competitive across many roles, and the company highlights structured practices aimed at pay equity. Total compensation is often described as strong at senior levels when equity and bonuses are included.
  • Equity Value & Accessibility Equity grants and an ESPP are standard, making ownership accessible and a meaningful part of total rewards. New-hire RSUs and ongoing equity alongside bonus/commission programs are emphasized.
  • Healthcare Strength Comprehensive medical coverage is offered with programs like Lyra providing up to 25 no-cost therapy/coaching sessions, alongside HSA-eligible plans. Wellness resources and additional clinical programs (such as Omada for certain conditions) broaden the scope of support.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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