At a Glance
- Tasks: Transform complex data into actionable insights for social impact in various sectors.
- Company: Join Google DeepMind, a leader in AI innovation and ethical technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on impactful projects and career advancement.
- Why this job: Make a real difference by using data to drive positive change in society.
- Qualifications: Proficient in Python, strong statistical skills, and excellent communication abilities.
The predicted salary is between 50000 - 70000 £ per year.
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.
The role
We are seeking a driven Impact Data Analyst with a passion for using data to drive social impact in our Life Sciences, Climate and Environment and Education efforts. This highly collaborative role will be instrumental in transforming complex data sets into actionable insights, handling ad hoc stakeholder requests, and developing robust data analysis infrastructure.
Key responsibilities
- Impact Analysis: Design and execute in-depth analyses to measure the impact of our work
- Insight Communication: Translate complex data findings into clear, visually compelling reports, presentations, and dashboards customised for diverse collaborators
- Ad Hoc Analysis: Respond effectively to data-driven queries from various collaborators, providing prompt and accurate analysis
- Collaboration: Work closely with GDI teams to understand their data needs and drive project objectives based on insights
- Data Infrastructure Development: Build and maintain data pipelines and processes to ensure clean, organised, and accessible data
About you
In order to set you up for success as an Impact Data Analyst at Google DeepMind, we look for the following skills and experience:
- Python Proficiency: Mastery of Python for data manipulation, analysis, and visualisation (e.g., Pandas, NumPy, SciPy, Matplotlib/Seaborn/Altair).
- Statistical Expertise: Solid foundation in statistical techniques necessary for robust impact analysis, including hypothesis testing, regression modelling, and experimental design.
- Data Storytelling: Ability to translate technical findings into digestible narratives and visualisations for a non-technical audience.
- Problem-Solving: A proactive and analytical mentality with a talent for identifying trends, patterns, and anomalies within data sets.
- Communication & Collaboration: Exceptional written and verbal communication skills; demonstrable ability to collaborate effectively across teams.
- Delivery Focused: Results-driven and action oriented, able to act with both pace and accuracy, taking initiative to deliver exceptional outcomes.
- Project Management Skills: You are capable of both executing independently, and providing end-to-end project leadership when needed.
In addition, the following would be an advantage:
- Experience in Impact Measurement: Past work in similar sectors (science, sustainability, education) with a focus on evaluating impact.
- Domain Knowledge: Familiarity with any of the following is a plus: sustainability metrics, life sciences data and metrics, or educational assessment techniques.
- Collaborative Software Development: Experience with version control systems (e.g., Git) and collaborative development practices.
- Data Science Foundations: Understanding of machine learning principles and techniques for text analysis and natural language processing will be an asset for predictive modelling and advanced insights.
Impact Data Analyst employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer that fosters a culture of collaboration and innovation. Our commitment to social impact in Life Sciences, Climate and Environment, and Education is matched by our dedication to employee growth, offering opportunities for professional development and the chance to work alongside some of the brightest minds in artificial intelligence. Located in a vibrant tech hub, we provide a dynamic work environment where your contributions can lead to meaningful change and scientific discovery.
StudySmarter Expert Advice🤫
We think this is how you could land Impact Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your data storytelling skills. We recommend using real-life examples from your past experiences to demonstrate how you’ve made an impact with data.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We suggest mentioning something specific from your conversation to make it personal.
✨Tip Number 4
Apply through our website for the best chance at landing the role. We’re always looking for passionate individuals who want to make a difference, so don’t hesitate to show us what you’ve got!
We think you need these skills to ace Impact Data Analyst
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data and social impact shine through. We want to see how your passion aligns with our mission at Google DeepMind, so don’t hold back!
Tailor Your CV:Make sure your CV is tailored to the Impact Data Analyst role. Highlight your Python skills, statistical expertise, and any relevant experience in life sciences, climate, or education. We love seeing how your background fits with what we do!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us your story. Use it to explain why you’re the perfect fit for this role and how you can contribute to our projects. Keep it clear, concise, and engaging!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Google DeepMind
✨Know Your Data Tools
Make sure you brush up on your Python skills, especially with libraries like Pandas and NumPy. Be ready to discuss how you've used these tools in past projects to manipulate and analyse data. It’s all about showing that you can turn complex data into actionable insights!
✨Master the Art of Data Storytelling
Prepare to explain your data findings in a way that anyone can understand. Think about how you can create compelling narratives around your analyses. Practise translating technical jargon into simple terms, as this will be crucial when communicating with non-technical collaborators.
✨Showcase Your Problem-Solving Skills
Be ready to share examples of how you've tackled data-related challenges in the past. Highlight your analytical mindset and how you identify trends or anomalies in data sets. This will demonstrate your proactive approach and ability to deliver results.
✨Emphasise Collaboration
Since this role involves working closely with various teams, think of instances where you've successfully collaborated on projects. Discuss how you’ve understood different stakeholders' needs and how you adapted your analyses to meet those requirements. Communication is key!
