About the Role
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our People & Culture team is on a mission to empower our people to do their best work. Within our Talent, Performance, and Reward team (TPR) we are seeking an experienced Data Analyst to be a key strategic partner in our talent strategy. In this role, you will go beyond data processing to provide an unbiased, strategic perspective that drives tangible organizational decisions. We are looking for a builder - someone who is agile, pragmatic, and commercially minded, capable of delivering high-quality analysis at pace while navigating the complexities of a rapidly evolving organization. You will act as a Subject Matter Expert (SME), independently scoping and delivering end-to-end analytical projects that measure and improve our ability to attract, grow, and retain talent.
Responsibilities
- 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, suchs as investment strategies and attrition mitigation.
- Responsible data use: Lead on ensuring our analysis are compliant and run responsibly in line with data governance, leading on creating and maintaining Privacy Design Documents (PDDs) while right sizing effort proportionate to risk.
Requirements
- 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.