Analyst/ Senior Analyst, People Analytics

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Analyst/ Senior Analyst, People Analytics US-CA-Menlo Park, Menlo Park, California, United States 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 Build AI-powered experiences for HR teams You'll be central to how we bring AI to the People function at Snowflake. Using Snowflake Cortex and other tools, you'll design and deliver conversational analytics experiences - skills that let HR users ask questions in natural language and get immediate, data-grounded answers. This means owning the full stack: the data layer that powers the AI, the logic that shapes what it knows, and the quality bar that makes it trustworthy. Co-own the data foundations with Analytics Engineering You'll work hand-in-hand with the Analytics Engineering team to design, build, and evolve the Snowflake data layer that every AI experience depends on. That means jointly scoping data models, translating stakeholder requirements into engineering

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