Snowflake Computing

Staff Analyst, GTM Analytics

Snowflake Computing$135K — $160K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of Analytics/BI experience in large-cap tech or high-growth SaaS environments.
  • Proficiency in SQL, hands-on experience with dbt, and strong Python skills.
  • Demonstrated ability to partner with Marketing leadership to drive strategic outcomes.
  • Experience in AI-driven data workflows and familiarity with tools like Cortex Analyst.
  • Proven knowledge of B2B marketing technology stacks and data pipeline ecosystems.

Responsibilities

  • Partner with Marketing executives to align analytics initiatives with business goals.
  • Influence pipeline generation and conversion optimization through data insights.
  • Maintain fluency in data models and work alongside Analytics and Data Engineering teams.
  • Automate workflows and architect AI solutions for efficiency improvements.
  • Champion data integrity and spearhead data infrastructure enhancements.
  • Represent the company at industry events and engage with customers to share insights.

Benefits

  • Hybrid work model with 3 days in office in Menlo Park.
  • Opportunities for professional growth in a rapidly scaling environment.
  • Exposure to cutting-edge AI technologies and analytics techniques.
Full Job Description
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

About Snowflake Computing

Snowflake is a cloud-based data-warehousing company that was founded in 2012. The company provides a data platform that allows customers to store and analyze data using cloud-based infrastructure. Snowflake's platform is designed to be highly scalable and flexible, allowing customers to easily add or remove computing resources as needed. The company's customers include a wide range of businesses, from startups to Fortune 500 companies. Snowflake has received significant funding from investors and has been recognized as one of the fastest-growing companies in the United States.
Learn more about Snowflake Computing
Size
2,037 employees
Market Cap
$44.9 billion
Industry
Net Income
-$539.1 million
Founded
2012
Revenue
$592 million
NASDAQ

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