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  • Emplois similaires à : Analyst, People Analytics
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Analyst, People AnalyticsNeura Market • Mountain View, California, United States
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Analyst, People Analytics

Neura Market
  • US
    Mountain View, California, United States
  • US
    Mountain View, California, United States
Postuler Maintenant

À propos

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo’s People team recruits and supports the world’s best talent (including, we hope, you). Our HR business partners, program administrators, staffers, and compensation specialists help our employees attain their full potential in a healthy, considerate and supportive environment. We take our role as stewards of Waymo's culture seriously.
In this hybrid role, you will report to our Head of Compensation, People Analytics, and People Programs.
You will:
Build relationships and collaborate with teammates, business leaders, the recruiting organization, and other stakeholders with people analytics needs to answer data-related questions using data transformation and manipulation techniques.
Work through ambiguity (e.g., create structure, manage deadlines) in developing a strategic approach to delivering on the team's analytical needs while effectively prioritizing work across multiple workstreams.
Explore diverse data sets (from hiring data, to exit survey data, to everything in between) to provide essential business and process insights to stakeholders and leadership.
Build and maintain our data infrastructure to ensure our sources of truth are accurate and scalable.
Own the end-to-end process of analytical projects, from brainstorming and scoping to the presentation of results.
You have:
BA/BS degree or equivalent practical experience in data analytics.
4+ years of relevant work experience in hiring analytics, HR reporting, People Analytics, or a related field.
Experience working with multiple data sources and combining relevant information to generate insights from analyses; creating effective reporting solutions using SQL (e.g., dashboards, tables, metrics).
Advanced proficiency and comfort with Google Sheets.
Experience with at least one programming language (e.g., R, Python, Javascript, Apps Script.
We prefer:
Experience turning data into a compelling narrative with visualizations (charts, graphs, tables) and presenting it to HR professionals and executives in a way that influences HR and people strategies.
Experience with relational database construction/design/schemas.
Experience with statistical methods and analysis (e.g., regression analysis).
Experience with survey design, administration, and analysis.
Experience using AI to create efficient code/scripts and/or small-scale tools and applications.
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range $168,000 — $207,000 USD
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  • Mountain View, California, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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