Impact Data Analyst

Key Skills

Data Analytics, Data science techniques, Effective communication skills, Git, Leadership Skill, Machine learning techniques, Natural Language Processing (NLP), NumPy, Pandas, Project management, Python Programming, SciPy, Software Development

Job Description

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 Focussed: 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.

Application deadline: 6pm BST Friday 26th April 2024