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Graphcore

2026 Graduate Data Analyst

Posted 3 Hours Ago
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Hybrid
2 Locations
Entry level
Hybrid
2 Locations
Entry level
Support Engineering Operations by building and maintaining Superset dashboards, defining delivery metrics, partnering with Analytics Engineers to ensure data quality, and providing analysis for planning cadences. Create lightweight Python/Streamlit tools when needed, document metric definitions, and produce concise reporting to help teams spot risks and make data-driven delivery decisions.
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About Graphcore 

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 an elite 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. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. 

About the role 

Engineering Operations helps Graphcore deliver product programmes by turning plans into execution: tracking delivery in Jira, coordinating across engineering and partner teams, and supporting the planning and reporting rhythms that keep work on track. 

As a Graduate Data Analyst in the team, you’ll turn delivery data into clear, decision-ready reporting for Engineering Operations and senior leadership. You’ll build Superset dashboards that track milestones, throughput and blockers, helping teams spot risks early and take corrective action. You’ll work with Analytics Engineers to ensure the underlying warehouse datasets and metric definitions are fit for purpose. Where it adds value, you may also create lightweight Python tools or Streamlit apps to support interactive exploration and self-serve insight. 

Responsibilities and Duties 
  • Own a set of Engineering Operations dashboards and reports, keeping them accurate, consistent, and useful over time. 
  • Work with stakeholders to define what “good” looks like for delivery reporting (metrics, slices, drill-downs), and translate that into visualisations. 
  • Partner with Analytics Engineers to shape the datasets and definitions needed for reliable reporting, and to address gaps or data quality issues. 
  • Support programme and planning cadences with analysis that highlights trends, exceptions, and areas needing attention or action. 
  • Improve how reporting is consumed: documentation, metric definitions, and lightweight guidance so teams can self-serve confidently. 
  • Build simple Python/Streamlit utilities when dashboards aren’t the right interface for the problem. 
About you 

Essential

  • Bachelor or Master's in Computer Science, Maths, Machine Learning, Data Science, or related field 
  • Strong interest in analytics, visualisation, and supporting delivery decision-making in a technical environment. 
  • Working knowledge of SQL (joins, grouping/aggregations, filtering; comfortable working with imperfect real-world data). 
  • Experience in building dashboards in a BI tool (ideally Superset)
  • Comfortable working with delivery/programme concepts and data (e.g., Jira issues, epics, boards, sprints, milestones). 
  • Strong communication skills and ability to work with both technical and non-technical stakeholders to capture requirements and explain results clearly. 
  • Good attention to detail around metric definitions, data quality, and consistent reporting. 
Desirable 
  • Familiarity with Jira and common delivery metrics (cycle time, throughput, WIP, forecasting). 
  • Comfortable producing concise reporting outputs for stakeholders (e.g., slide summaries, visuals for meetings). 
  • Basic Python experience for data analysis; experience with Streamlit is a plus. 
  • Understanding of data warehouse concepts and working with curated datasets/models. 
  • Experience writing clear documentation (e.g., dashboard definitions, metric glossary, “how to use this dashboard” notes). 
Benefits 

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

Top Skills

Sql,Superset,Python,Streamlit,Jira,Data Warehouse

Graphcore London, England Office

Graphcore London Office Office

Lynton House, 7-12 Tavistock Square, London, United Kingdom, WC1H 9LT

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