Data Analyst

Data Analyst

Mountain View, CA

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot 

We’re looking for an applied data analyst to join Google DeepMind’s internal data & analytics group. Working closely with stakeholders, you will provide clarity and structure to ambiguous business problems to guide strategic decisions specifically around our compute and infrastructure strategy, contributing directly to Google DeepMind’s mission of bringing the benefits of AI to the world!

About Us 

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.

You’ll join the Core Analytics Team (CAT) within the Tech Ops & Analytics group at Google DeepMind, comprising a software engineer & data scientists and analysts. We ultimately aim to drive better organisational decisions – blending our technical skillset with rich stakeholder relationships to deliver impact. The outcomes of our work, ranging across topics like (but not limited to!) compute purchase and efficiency, research organisation, and recruitment optimisation, directly influence Google DeepMind’s progress towards our mission.

The role

We’re looking for someone who is skilled at and motivated by helping make sound decisions using quantitative data. This role will specialise in the area of compute management exploring areas like the efficiency of our accelerators and infrastructure.

You’ll bring a particular expertise and perspective around how to most effectively conduct analyses – liaising with engineering colleagues to ensure we collect the right telemetry at source, and working with technical program managers to translate those (and other!) insights into clear decisions both for leadership and process owners.

You’ll also be expected to contribute to our team environment – sharing your knowledge, coaching other analysts, helping articulate and prioritise our common roadmap, and using your experience of analytics in other organisations to make improvements to how we operate.

A core set of the responsibilities this role encompasses:

• Work with partners to identify relevant high-level product & business questions and propose appropriate data-focused analysis
• Conduct rigorous, verifiable analysis (SQL, Python) to answer those questions
• Develop tools (dashboards, reports, web apps) to enable continuous monitoring of key metrics and enable user self-service
• Apply statistical and machine learning techniques to analyse large and complex datasets aiming to extract actionable recommendations
• Communicate via presentations and written reports to a wide variety of stakeholders (with varying levels of seniority, technical and domain familiarity) – following through to ensure impact
• Manage several projects simultaneously, exhibiting good project and time management skills (timelines, expectations, progress, etc.)
• Collaborate effectively as part of a team of other data scientists, analysts, engineers and project managers
• Recommend changes to product/engineering roadmaps to improve data quality in source systems
• Submit tested code into source control for review
• Coach and mentor others in their own use of analytical tools and techniques

About you

We're looking for an experienced data analyst with a proven ability to translate complex business challenges into impactful data-driven solutions. You thrive in a fast-paced environment, are comfortable working independently, and excel at communicating insights to diverse audiences.

Key Requirements:

• SQL Expertise: You are highly proficient in using SQL to extract, manipulate, and analyze data to solve complex business problems.
• Stakeholder Management & Data Storytelling: You have a strong track record of effectively collaborating with and presenting to a variety of stakeholders, including senior leadership.
• Fast-Paced Delivery: You are comfortable working in a dynamic environment and consistently meet deadlines while maintaining a high standard of work.
• Independent Execution: You are a self-starter who can take ownership of projects and deliver high-quality analysis with minimal supervision.

Additional qualities we value:

• Experience with cloud compute metrics, systems, and analytics infrastructure.
• An interest in compute and infrastructure efficiency.
• Proficiency in Python and the PyData stack (e.g., Pandas, Scikit-learn, NumPy, Jupyter).
• A solid understanding of statistical concepts and the ability to apply them in analysis.
• A passion for continuous learning and expanding your skill set.
• The ability to translate data into meaningful stories and actionable insights.
• A collaborative mindset and eagerness to work with others to achieve common goals.

If you don’t think you embody all of the above criteria, please still seriously consider applying! This role (and therefore the requirements) is broad, and we’d be excited to discuss how you see yourself contributing across it.

The US base salary range for this full-time position is between $122,000 - $186,000,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see ourApplicant and Candidate Privacy Policy

Application deadline: 12pm PST Friday January 17th 2025

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.