HR Data Analyst, Fixed Term Contract

DeepMind • Mountain View, CA

2h

About The Position

We are looking for someone who is passionate about enabling every employee to do their best work, by bringing a data lens to strategic business problems around our People & Culture strategy.

If you are looking for a role that blends HR and analytical skills this is the role for you. This role focuses on leveraging data analytics and data science techniques – particularly advanced SQL and statistical methods – to drive strategic decisions and generate insights, NOT deep machine learning model development.
There are two profiles that would be great for this role:
Profile 1: You’ve been working in an HR role for a number of years, you have learnt some analytical skills to make you even more effective. You would really like to level up your technical skills and try a full time data role.
Profile 2: You are an experienced data analyst or data scientist working in the HR space or really interested in the space.

This role is a Fixed-Term contract, ending in December 2026.

About us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re 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.
The Core Analytics Team (CAT) are a full stack data science team that organise, model, and deploy data to guide Google DeepMind strategy & decisions, blending our technical skillset with rich stakeholder relationships to deliver impact.
The role
This role will focus on driving data-driven decision-making in our People & Culture teams.
You will build strong relationships with key stakeholders to understand the key challenges and opportunities, and build data solutions to drive tangible organizational outcomes.
You will become a key strategic partner understanding areas well enough to propose, champion changes and drive them to completion.
You will work with internal AI tools to scale your work across a larger stakeholder base.
Areas of work could include: employee engagement, retention, recruitment.

Requirements

• Stakeholder Partnership: Strong track record of building relationships, presenting recommendations clearly and persuasively to diverse audiences, including senior leadership, and influencing to ensure your recommendations are acted upon.
• Delivery & Execution: You operate at Pace. You are able to manage multiple projects simultaneously, prioritise effectively, and deliver high-quality insights in a dynamic environment. You are comfortable working independently and taking ownership.
• Domain Interest/Experience: Experience with or a strong interest in People & Culture (HR, recruiting, performance, talent or employee engagement).
• Domain Experience: You’ve worked in a People & Culture role (HR, recruiting, performance, talent or employee engagement), you know what it's like day to day. You’ve built an intuition for what the challenges are and where the opportunities lie.
• Practical Problem Solver: You can point to a number of projects where you’ve solved a problem in a new or unique way, improving things for your organisation in the process.
• Passion for Learning: You are constantly learning and growing your skills. You can talk about the new skills you’ve learnt in the past 12 months. You might not know SQL yet but you are excited to learn it if you join this team.
• Analytical Problem Solving: Proven ability to understand ambiguous problems, formulate key questions, and design/execute appropriate analytical approaches.
• Advanced SQL for Analysis: High proficiency in using SQL to extract, manipulate, aggregate, and analyze complex datasets from various sources to answer business questions
• Applied Statistics/Quantitative Skills: Solid understanding and practical application of statistical concepts for analysis (e.g., hypothesis testing, regression, forecasting).

Nice To Haves

• AI Fluency: Ability and curiosity to use AI tools practically and effectively in your work, with a recognition and awareness of AI’s responsible use, risks, and limitations.
• AI for Data: You are excited by the way AI could transform data roles and are interested in spending 20% of your time thinking about and building this to scale your impact.
• Python for Data Analysis: Proficiency in Python and common data analysis libraries (e.g., Pandas, NumPy, SciPy, Scikit-learn, Matplotlib/Seaborn).
• Data Visualization/Dashboarding: Experience creating effective dashboards and visualizations using tools like Tableau, Looker, Google Data Studio, or similar.
• Analytics Engineering: Experience designing and implementing ELT workflows (using tools like dagster, dbt)
• Coaching/Mentoring: Experience mentoring others in analytical techniques or tools.

Responsibilities

• Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact analytical questions.
• Analysis: Conduct rigorous, end-to-end analyses to uncover insights, model trends, and answer complex questions.
• Data Storytelling & Communication: Translate complex analytical findings into clear, compelling narratives and actionable recommendations for diverse audiences (technical and non-technical) through presentations, reports, and dashboards.
• Enablement & Monitoring: Develop and maintain tools (dashboards, reports) to provide ongoing visibility into key metrics and empower stakeholders with self-service analytics where appropriate. Assess how these assets can be improved or streamlined using AI.
• Identify Data Needs: Collaborate with stakeholder teams to highlight data gaps and advocate for the collection of telemetry needed to improve future analyses and decision-making.
• Team Contribution: Share knowledge, contribute to the team's analytical roadmap, and help improve our overall processes and best practices.

Benefits

• Direct Strategic Impact: Your analysis and recommendations will directly inform critical investment and strategic decisions, influencing our ability to achieve our mission.
• Leadership Exposure: Work closely with senior leaders and key decision-makers, honing your communication and influencing skills.
• Collaborative Environment: Be part of a supportive and highly skilled data & analytics group, learning from peers and contributing to a culture of analytical excellence.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed