Senior Talent Acquisition Data Analyst

Uber

Confirmed live yesterday High trust

Quick summary

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

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Salary context

How this pay compares to similar roles

Similar $162k
$111k most similar roles pay here $207k

This listing doesn't post a salary. Most similar roles pay $126,800–$197,800.

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 27 open roles on FindRole.

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At a glance

TL;DR · Senior Talent Acquisition Data Analyst

The Sr TA Data Analyst joins the Talent Acquisition Analytics team to transform recruiting into a proactive, predictive powerhouse. Working directly with leadership, you will build predictive models for pipeline health and candidate conversion while serving as the analytical gatekeeper for the recruiting tech stack by evaluating AI tools and automated workflows. Your daily responsibilities include defining strategic metrics like Quality of Hire, performing analytics engineering to transform raw data into structured models, and designing intuitive dashboards that provide prescriptive insights. You will utilize Python or R for statistical modeling, advanced SQL for querying MySQL and BigQuery, and version control tools like Dataform, dbt, and GitHub. The role focuses on solving complex problems in the recruitment domain by providing data-driven guidance to improve hiring efficacy and internal talent mobility through sophisticated visualization and storytelling.

What you'll do

  • Build predictive models using Python or R to forecast pipeline health, candidate conversion, and time-to-fill.
  • Evaluate the ROI, efficacy, and potential bias of new AI tools and automated recruiting workflows.
  • Define and track complex metrics such as Quality of Hire and skills-based hiring efficacy.
  • Transform raw system data into structured models by collaborating with data warehouse engineers to improve pipelines.
  • Design intuitive dashboards that shift stakeholders from viewing descriptive data to actionable prescriptive insights.
  • Provide ad-hoc analytics consulting for partners within the Talent Acquisition and People organizations.
  • Identify opportunities to improve data quality and provide strategic insights to TA leadership.

What we're looking for

  • BS/MS in Engineering, Computer Science, Math, Economics, Statistics, or another highly quantitative discipline.
  • Minimum 3 years of work experience in data analysis, data science, analytics engineering, or similar technical roles.
  • Proficiency in data manipulation and statistical modeling using Python or R.
  • Advanced SQL skills and exposure to modern data stores/querying frameworks like MySQL or BigQuery.
  • Proficiency with analytics engineering workflows and version control platforms such as Dataform, dbt, and GitHub.
  • Strong proficiency with enterprise data visualization tools (Looker, Power BI, Tableau) and a deep understanding of dashboard design.
  • Experience auditing AI/machine learning tools for fairness/bias or assessing software vendor ROI (preferred).
  • Familiarity with Google Cloud Platform (GCP) (preferred).

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