Staff Analyst, People Analytics

Snowflake • Menlo Park, CA

5d • $163,000 - $214,200

About The Position

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.

Requirements

• 8+ years of experience in analytics, data engineering, analytics engineering, or a closely related field where you've owned data products end to end, or equivalent experience
• A clear track record of influencing senior leaders through your work, with concrete examples of decisions or programs that changed because of an analysis or product you led
• Strong SQL — you write complex queries and think carefully about performance, grain, and correctness
• Deep familiarity with the modern data stack: tools like dbt, Airflow, and Git as part of a collaborative engineering workflow
• Strong experience working directly with non-technical and executive stakeholders, with the ability to translate a vague business question into a working data model and explain your thinking without jargon
• Strong data quality instincts: you validate your work against source systems, define what "correct" means up front, and don't ship without checking your numbers
• Genuine curiosity about AI and where it's going, with a point of view on how it should be woven into analytics work; you can design and build LLM products

Nice To Haves

• Hands-on experience with Snowflake Cortex, LLM-powered analytics tools, or building conversational data experiences
• Familiarity with Streamlit for building lightweight internal apps and dashboards
• Background in people analytics: workforce planning, attrition, compensation, or talent acquisition
• Python experience for data pipelines, scripting, or automating reporting workflows
• Experience designing access controls for sensitive data, including PII and compensation

Responsibilities

• Help set the direction for AI-powered experiences for HR teams
• Define how Snowflake brings AI to the People function, using Snowflake Cortex and the broader AI stack to architect conversational analytics experiences that let HR users ask questions in natural language and get immediate, data-grounded answers they can trust.
• Own the full vertical: the data layer that powers the AI, the semantic and skill design that shapes what it knows, the evaluation framework that proves it works, and the quality bar that earns executive confidence.
• Co-own the data foundations with Analytics Engineering, partnering as a senior peer on the design, build, and evolution of the Snowflake data layer that every AI experience depends on.
• Jointly scope data models, make architectural calls on grain and ownership, translate ambiguous stakeholder needs into engineering work, validate correctness, and ensure the right access controls are in place.
• Translate stakeholder needs into working products by partnering directly with leaders in the People Team, including at the VP and SVP level, to understand the questions that actually move the business.
• Turn conversations into structured data models, AI skill definitions, and dashboards, making calls on what should be self-service, what deserves a one-time deep dive, and what should be automated away.
• Deliver actionable people insights that change decisions by working with People stakeholders to surface findings that change what leaders do, whether that's flagging attrition risk in a business unit, identifying bottlenecks in the hiring funnel, or surfacing compensation trends for the ELT.
• Own rigor and trust as we scale by designing and owning the testing, validation, evaluation, and monitoring frameworks that span the products you build, making sure outputs stay aligned with source systems, business definitions hold, and stakeholders can trust what they're seeing.
• Codify patterns so the rest of the team can follow them.
• Shape the access and security model for sensitive people data by helping evolve our role-based access model for sensitive HR data, including secure views, row-level policies, and data sensitivity controls for PII and compensation.
• Raise the bar across the function by mentoring junior analysts, leading technical reviews, and codifying patterns that scale.
• Set the standard for analytical rigor, AI product quality, and stakeholder engagement that the broader People Analytics team operates against.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed