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.
This is a hybrid (3 days in office) role in Menlo Park
Our Data Analytics and AI org (DAA) is expanding our Customer Experience Analytics team and seeking a Senior Analyst to help shape how Snowflake measures and improves the post-sale customer experience. In this role, you'll combine rigorous quantitative analysis with a strong AI toolkit to unlock insights from rich support and services delivery data - driving decisions that span product strategy, operational efficiency, and customer outcomes.
Reporting to the Manager of Customer Experience Analytics, you'll partner closely with Support and Services Delivery leadership, own analytical programs end-to-end, and build scalable tools that embed your work directly into stakeholder workflows
In This Role You WillBe a Trusted Analytics Partner to CXE Leadership: Work closely with Support and Services Delivery leaders to provide the data and insights that drive operational decisions
Deliver Insights That Drive Action: Conduct deep-dive analyses on support case drivers, resolution patterns, customer satisfaction trends, and operational efficiency that CXE leadership can act on immediately.
Connect the Dots Across Teams: Partner with Support Engineering, Services Delivery, Operations, and Finance to ensure CX analytics are grounded in a holistic view of the post-sale customer experience
Know the Data Inside and Out: Build strong fluency in the underlying data models, metrics definitions, and pipelines (SQL, dbt, Snowflake) that drive Support and Services Delivery reporting.
Enable Self-Service Through AI: Leverage AI-driven interfaces (semantic models, Cortex Analyst, Snowflake Cortex Code) to help CXE managers and operational teams answer their own data questions - reducing turnaround time on ad-hoc requests.
Raise the Bar Across the Team: Contribute to team best practices, documentation, and analytical standards. Elevate the quality and consistency of deliverables across the analytics org.
Technical Expertise
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field (or equivalent experience)
4-6 years of experience in data analytics or applied data science
Strong SQL skills (Snowflake preferred) and proficiency in Python
Experience with dbt for data modeling and transformation
Experience building user-facing analytics applications (BI tools, data apps or similar)
Business and Communication Skills
Proven ability to engage senior stakeholders - shaping problem definitions, not just answering questions
Strong track record of translating complex analyses into clear, actionable narratives for non-technical audiences
AI Curiosity
Genuine interest in applying AI tools to analytical workflows - LLMs for classification, semantic models for self-service, or emerging Snowflake Cortex Code capabilities
Comfort working in a team that experiments with new tooling as part of the job
Shape product and operational strategy through analytics embedded at the senior leadership level
Reduce analytical bottlenecks across Support and Services Delivery
Apply Snowflake's own AI capabilities - including Cortex Code - to transform unstructured support data into durable operational metrics
Define analytical standards that raise the quality of work across the broader Customer Experience Analytics team
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
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field (or equivalent experience)
- 4-6 years of experience in data analytics or applied data science
- Strong SQL skills (Snowflake preferred)
- Proficiency in Python
- Experience with dbt for data modeling and transformation
- Experience building user-facing analytics applications (BI tools, data apps, or similar)
- Proven ability to engage senior stakeholders and shape problem definitions
- Strong track record of translating complex analyses into clear, actionable narratives for non-technical audiences
- Genuine interest in applying AI tools to analytical workflows (LLMs, semantic models)
- Familiarity with Snowflake Cortex products (Cortex Analyst, Cortex Code) and AI-driven self-service
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.
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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.
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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.
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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.
Snowflake Insights
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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