Senior People Analytics Analyst

Uber

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Francisco, CA
Posted
58 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $154k
$113k most similar roles pay here $195k

This listing doesn't post a salary. Most similar roles pay $120,762–$187,250.

Based on 240 similar postings.

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About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 23 open roles on FindRole.

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At a glance

TL;DR · Senior People Analytics Analyst

The Sr People Analytics Analyst joins the People Data & Intelligence team to translate employee insights into actionable business performance. This role sits at the intersection of analytics engineering and modern insight delivery, where you will partner with cross-functional stakeholders to transform raw people metrics into scalable, self-service solutions. You will design optimized data models, build custom internal web applications, and integrate AI workflows to automate reporting and insight generation. Key responsibilities include creating analysis blueprints, maintaining clean codebases, and developing tools for the talent lifecycle from hiring to retention. The role requires proficiency in SQL, Python, Flask, and Streamlit, along with experience in Tableau or Looker. You will utilize these technologies to solve complex problems regarding organizational effectiveness, employee engagement, and human capital management within a fast-moving environment.

What you'll do

  • Translate ambiguous business questions from stakeholders into structured analysis blueprints and success benchmarks.
  • Deliver high-quality insights to inform organizational strategy, roadmaps, and employee engagement metrics.
  • Design optimized data models and clean, structured data layers to enable rapid analysis.
  • Develop custom internal web applications and automated reporting tools using Python, Flask, and Streamlit.
  • Integrate Generative AI tools and APIs to automate complex analytical workflows and extract insights.
  • Build and maintain clean, documented codebases while following analytics best practices.
  • Create intuitive dashboards in Tableau or Looker to provide self-service visual narratives for users.

What we're looking for

  • Bachelor's or Master's degree in a quantitative or analytical field like Statistics, Economics, Engineering, Computer Science, or Data Analytics.
  • Minimum 4+ years of experience in business intelligence, analytics, data engineering, or a similar role in a corporate environment.
  • 3+ years of experience with strong SQL expertise to write complex, efficient queries on large production datasets.
  • Hands-on experience building lightweight applications and analytical tools using frameworks like Streamlit and Flask.
  • Proficiency with industry-standard BI and data visualization tools such as Tableau and Looker.
  • Fluency in Python to clean, manipulate large datasets, and apply automation or machine learning capabilities (preferred).
  • Demonstrated ability to work with modern Generative AI tools and APIs to build intelligent applications and automate workflows (preferred).
  • Experience in People Analytics, HR data, HCM systems, experimental design, or statistical analysis (preferred).

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