People Analytics Analyst/ Senior Analyst

Snowflake
San Francisco, US
Hybrid

Job Description

Who you are

  • 3+ years of experience in analytics, data engineering, or a related field where you've owned data products end to end
  • Strong SQL — you write complex queries and think carefully about performance, grain, and correctness
  • 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 stakeholders — you can translate a business question into a working data model and explain your thinking without jargon
  • Data quality instincts — you validate your work against source systems and don't ship without checking your numbers
  • Curiosity about AI and where it's going — you don't need to have shipped an LLM product, but you should be excited about building them
  • 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: PII and compensation data
  • 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

What the job involves

  • 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 work, validating that outputs are accurate, 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 Talent Acquisition, HR Business Partners, and Compensation to understand what questions they're trying to answer
  • You'll turn those conversations into structured data models, AI skill definitions, and — where needed — dashboards that give teams something they can use immediately
  • Deliver actionable people insights:
  • You'll work with People stakeholders to surface findings that actually change decisions — whether that's flagging attrition risk in a business unit, identifying bottlenecks in the hiring funnel, or surfacing compensation trends for leadership
  • The measure of success isn't a dashboard going live, it's a stakeholder doing something different because of what you showed them
  • Maintain rigor as we scale:
  • AI experiences break in quiet ways when the data drifts. You'll own testing, validation, and quality checks across the products you build — making sure outputs stay aligned with source systems, business definitions hold, and stakeholders can trust what they're seeing
  • Contribute to access and security design:
  • Help design and maintain the role-based access model for sensitive HR data — including secure views, row-level policies, and data sensitivity controls that ensure the right people see the right data

Benefits

  • Comprehensive health insurance plans
  • Health savings accounts
  • Robust retirement plans
  • Life and disability insurance
  • Weekly online lunch and learns
  • Virtual workout classes
  • Ergonomic work-from-home equipment
  • On-demand mental health and wellness programs
  • Fertility benefits and family planning resources
  • Generous time-off and various leave plans
  • Onsite and Remote Work
  • Employee discounts and pre-tax selections
  • New hire equity + Employee Stock Purchase Plan (ESPP)
  • Quarterly bonus or commission program

Skills & Requirements

Technical Skills

SqlDbtAirflowGitSnowflake cortexStreamlitPythonData pipelinesScriptingAutomating reporting workflowsDesigning access controlsCommunicationCuriosityLeadershipPeople analyticsWorkforce planningAttritionCompensationTalent acquisition

Salary

$11,500 - $15,050

month

Employment Type

FULL TIME

Level

senior

Posted

4/30/2026

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