Analytics Engineer

Analytics Engineer 

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 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 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 experienced analytics engineer to join Google DeepMind’s internal data & analytics group. Working at the intersection of insights and engineering, you’ll use your expertise to build data pipelines to generate actionable insights around the investment and impact of our research portfolio, contributing directly to 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, analytics engineers & data scientists. 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 specialises in analytics engineering to support management of the research portfolio such as exploring the levels of investment across our projects and measuring the impact of our work.

You’ll bring a particular expertise and perspective around how to build efficient data pipelines and conduct analyses – liaising with engineering colleagues to ensure we collect the rich data about our projects with the right data governance, working with technical program managers to help oversee research processes and providing leadership with insights to enable clear decision making.

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

The set of responsibilities specific to analytics engineers:

• Build ETL pipelines to convert raw data into actionable insights for stakeholders. 
• Shape and ensure compliance with internal data governance policies
  

Core responsibilities for all team members:

• Work with partners to identify relevant high-level product & business questions and propose relevant data-driven analysis
• Write queries and 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
• 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 management skills (timelines, expectations, progress, etc.)
• Collaborate effectively as part of a team of other data 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 analytics engineer 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:

• Advanced SQL & Data Expertise: You possess advanced SQL skills and are experienced in designing, building, and optimizing data models. You have a strong understanding of data warehousing principles and are proficient in using SQL to perform analysis and validate your data pipelines 
• Stakeholder Engagement: You have a strong track record of collaborating with stakeholders to understand their data needs, translate complex business problems into well-defined technical requirements and communicate technical solutions.
• Fast-Paced Delivery: You are comfortable working in a dynamic environment and consistently meet deadlines while maintaining a high standard of work.
• Independent Technical Learning & Application: You are a self-starter who can take ownership of projects, independently mastering new technologies to implement solutions to complex data engineering and analysis challenges.

Additional qualities we value:

• Experience with publication analytics or impact tracking
• 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 present actionable insights to senior stakeholders.
• 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.