Snowflake
Data Analytics and AI
StaffAnalyst,PeopleAnalytics
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Analyst, People Analytics at Snowflake. Skills: AI-powered experiences, Data layer, Stakeholder needs, Actionable insights. Set direction for AI-powered experiences. Architect conversational analytics experiences”
What You'll Achieve.
Deliver results; Earn executive confidence; Ensure the right access controls are in place; Make the calls on what should be self-service; Change decisions; Stakeholder doing something different because of what you showed them; Outputs stay aligned with source systems; Business definitions hold; Stakeholders can trust what they're seeing; Set the standard for analytical rigor; Set the standard for AI product quality; Set the standard for stakeholder engagement
Industry & Context.
Solve problems; Accelerate your impact; Translate ambiguous stakeholder needs; Understand the questions that actually move the business; Surface findings that change what leaders do
What They're Looking For.
Must Have
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, 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, 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, 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 you can design and build LLM products
Nice to Have
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
What You'll Do.
Set direction for AI-powered experiences
Architect conversational analytics experiences
Own the full vertical
Co-own data foundations
Translate stakeholder needs
Deliver actionable people insights
Shape access and security model
Mentor junior analysts
Lead technical reviews
How You'll Work.
Team & Collaboration
Partner as a senior peer to Analytics Engineering; Partner directly with leaders in the People Team; Work with People stakeholders
Communication Scope
Explain your thinking without jargon
Full Job Description
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. What You'll Do Help set the direction for AI-powered experiences for HR teams You'll help define how Snowflake brings AI to the People function, not just contribute to it. Using Snowflake Cortex and the broader AI stack, you'll architect conversational analytics experiences that let HR users ask questions in natural language and get immediate, data-grounded answers they can trust. You 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 You'll partner as a senior peer to Analytics Engineering on the design, build, and evolution of the Snowflake data layer that every AI experience depends on. That means jointly scoping data models, making the architectural calls on grain and ownership, translating ambiguous stakeholder needs into engineering work, validating correctness, and ensuring the right access controls are in place. The AI is only as good as the foundation beneath it, and you'll share ownership of getting that right. Translate stakeholder needs into working products Partner directly with leaders in the People Team, including at the VP and SVP level, to un
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