At a Glance
- Tasks: Lead data initiatives, improve business processes, and drive decision-making through analytics.
- Company: Join Graphcore, a leader in AI innovation and part of the SoftBank Group.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with diverse perspectives and excellent career advancement potential.
- Why this job: Make a real impact in AI and help shape the future of technology.
- Qualifications: Experience in data analysis and strong problem-solving skills.
The predicted salary is between 45000 - 55000 £ per year.
About us
Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of a family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. We bring together specialists across AI research, silicon design, software engineering and systems to solve complex problems and deliver meaningful impact.
Job Summary
Initially reporting to the Head of Data & Transformation, you will help business teams improve how they work and make decisions through process change, data analytics and AI-assisted and agentic workflows. Working closely with the Data Enablement Lead, you will independently lead complex, agreed initiatives from discovery and process mapping through requirements definition, hands-on analysis, prototyping, implementation and adoption. You will help teams find and use trusted data, embed analytics and agentic workflows into everyday activities, and achieve measurable improvements in business outcomes.
The Team
The Data & Transformation team brings together data capability and business transformation to improve how Graphcore operates and makes decisions. The team builds trusted data foundations, enables effective access to information and delivers cross-functional change to business processes, systems and ways of working.
You will partner directly with business teams, the Data Enablement Lead, Analytics Engineers and Project Managers. The Data Enablement Lead owns the overall data enablement approach, opportunity pipeline and shared solution standards. You will own end-to-end delivery of agreed initiatives within those approaches and standards, contributing new opportunities and improvements through practical delivery experience.
Responsibilities and Duties
- Lead business discovery and identify opportunities.
- Facilitate workshops to understand business objectives, information needs, current ways of working and underlying problems.
- Identify recurring needs and bring evidence-based opportunities to the Data Enablement Lead, considering business value, feasibility, risk and potential for reuse across teams.
Data Analyst employer: graphcore
Graphcore is an exceptional employer, offering a vibrant work culture that fosters continuous learning and innovation in the heart of London. With a commitment to inclusivity and employee well-being, we provide flexible working arrangements, comprehensive benefits including private medical insurance and generous parental leave, and opportunities for professional growth within a cutting-edge AI environment. Join us to be part of a transformative journey in AI technology, where your contributions will directly impact the future of intelligent computing.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like graphcore!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at graphcore.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like graphcore.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at graphcore, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at graphcore, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at graphcore. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at graphcore
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at graphcore!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
