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Snapshot
We’re looking for an experienced Product Analyst to join DeepMind’s internal data & analytics group. Working at the intersection of insights and engineering, you’ll use your expertise to guide strategic decisions around our product strategy, giving directly to DeepMind’s mission of bringing the benefits of AI to the world!
About Us
At DeepMind we've built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high profile breakthroughs towards building artificial general intelligence and we have all the ingredients in place to make further significant progress over the coming years.
You’ll join a group responsible for “end-to-end” analytics across DeepMind, comprising software engineers, data analysts & scientists, and change delivery experts. We ultimately aim to drive better organisational decisions – blending our technical skillset with rich stakeholder relationships to deliver impact. The outcome of our work, ranging across topics like (but not limited to!) compute purchase, research organisation, and recruitment optimisation, directly influence DeepMind’s progress towards our mission.
The Role
We’re looking for someone who is skilled at and motivated by helping make sound product decisions using quantitative data.
You’ll bring a particular expertise and perspective around how to most effectively conduct product analytics – liaising with engineering colleagues to ensure we collect the right telemetry at source, and working with product managers to translate those (and other!) insights into clear product and engineering decisions.
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 relevant data-focused 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 partners (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:
What we are looking for in the ideal candidate:
- You have several years of experience as a product analyst at another organisation, and know how to effectively bring analytics ‘into contact’ with product decisions. This is a mid-/senior-level role and while there’s no exact amount of experience necessary we expect to see a track record of delivery in other organisations and a clear perspective on what effective analytics looks like.
- You excel at analytical problem solving with a ‘nose for data’, knowing which questions to ask of it, how to go about answering those questions, and how to ensure that your answer is correct.
- You enjoy using a variety of tools to answer the question at hand. You recognise that there are lots of potential ways to approach a problem, and enjoy choosing the right tool for the job. You’re comfortable teaching yourself new technologies and techniques when appropriate.
- You consider yourself ‘business savvy’. You have proven experience working with a variety of different internal partners, and an intuition for which questions are most important to hone in on in service of our mission.
- You are passionate about ‘storytelling’ with data. You’re great at translating deep analysis into insights and conclusions that everyone can grasp, independent of prior context or expertise. You know how to effectively express uncertainty in your conclusions, and key assumptions that have gone into the analytical process.
Other qualities we are looking for:
- You are comfortable extracting and manipulating data via SQL (especially BigQuery and Google’s StandardSQL implementation) and Python and the PyData stack (e.g. Pandas, Scikit-learn, Numpy, Jupyter)
- You like to ‘work quantitatively’, and have at least a proven understanding of statistical concepts that let you express uncertainty in your analysis and assumptions
- You’ve previously taught yourself new tools/techniques to expand your skill set, and are excited to continue doing so within an encouraging community of analysts
- You have experience partnering with senior decision-makers in a professional setting and presenting the implications of your analysis for their consideration
- You consistently strive to see ‘beyond the data’ and understand what your analysis represents in terms of actual reality/experience
- You enjoy collaborating widely, and partnering with others to empower action and change
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.
Opening date: 13th April 2022
Closing date: 27th April 2022