Full-Time

Analytics & Insights Partner, People & Talent Intelligence – L5 – 12 Months FTC at Google DeepMind

Company Google DeepMind
Location London
Salary Competitive salary
Posted Posted 1 weeks ago

Job Description

Opening. This role is a key strategic partner in our talent strategy, empowering our people to do their best work. We are seeking an experienced Data Analyst to go beyond data processing to provide an unbiased, strategic perspective that drives tangible organizational decisions.

What you'll do

Intro.

  • Strategic Problem Framing: Translate complex, ambiguous talent questions into structured analytical frameworks and North Star metrics.
  • End to end analytics: Independently own the full analytical lifecycle from data extraction and complex SQL manipulation to delivering compelling data narratives that influence senior stakeholders.
  • Metric Strategy & Monitoring: Develop and maintain sophisticated and sustainable reporting tools to provide ongoing visibility into talent insights, enabling self-service analytics for our Talent, Performance and Reward teams.
  • Analytical Velocity & Pragmatism: Responsibly produce rigorous analysis at pace, using intuition and building in logical assumptions when perfect data is unavailable, ensuring decision-making isn't stalled by a lack of total certainty.
  • Stakeholder Influence: Partner directly with HR Business Partners and Leaders to integrate data-driven insights into core talent initiatives, such as investment strategies and attrition mitigation.

What you need

  • Education: Bachelor's degree in a quantitative field (Statistics, Mathematics, Data Science, Economics, etc.) or equivalent practical experience.
  • Experience: 5+ years of experience in data analysis, business intelligence, or quantitative analysis, solving complex business problems using SQL and Python/R.
  • Technical Mastery: Advanced proficiency in SQL, with a track record of building automations or workflow scripts (e.g., Apps Script, VBA, or JavaScript-based automation tools) to bridge data gaps.
  • Data Storytelling: Exceptional ability to translate complex findings into clear, actionable narratives for both technical and non-technical audiences.
  • AI Fluency: Curiosity and ability to use AI tools practically and responsibly to improve analytical velocity and accuracy.
  • People & Talent Focus: Experience with or at least interest in HR/People Analytics, including working with sensitive and confidential data.
  • Bias for action: Ability to self-start and self-direct work in an unstructured, fast-paced, challenging environment.

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