Data Analyst

Join Graphcore, a leading AI technology company, as a Data Analyst. In this role, you will work closely with business teams to improve decision-making and processes through data analytics and AI-assisted workflows. You will lead complex initiatives from discovery to implementation, helping teams find and use trusted data, embed analytics into everyday activities, and achieve measurable improvements in business outcomes. You will also partner with various teams, including the Data Enablement Lead, Analytics Engineers, and Project Managers.

- Independently lead complex initiatives from discovery and process mapping through requirements definition, hands-on analysis, prototyping, implementation, and adoption. - 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. - Use SQL to explore organizational and warehouse data, test hypotheses, investigate discrepancies, and identify patterns or causes of operational problems. Build and validate repeatable analyses, reports, dashboards, and measures that support business decisions.

- Ability to independently plan and lead complex work, coordinate contributions across business and technical teams, manage competing priorities and make pragmatic delivery decisions - Strong analytical judgement and problem-solving skills, including the ability to identify underlying causes, evaluate solution options and recognise when a simpler approach is more appropriate - Experience using AI-assisted development tools for prototyping, analysis or technical problem-solving, with the ability to critically review generated code and outputs - Strong facilitation, communication and influencing skills, including the ability to lead workshops, explain complex concepts to non-technical audiences and build agreement without relying on formal authority - Experience testing and validating solutions, documenting changes and supporting users through implementation and adoption, with an understanding of appropriate data access and sensitive information handling - Experience using business intelligence or data visualisation tools to develop practical analyses, reports or dashboards, supported by clearly defined and reliable measures - Strong SQL skills, including the ability to explore analytical or warehouse data, investigate discrepancies, validate assumptions and assess data quality - Demonstrated experience combining hands-on data analysis with business process improvement, taking complex initiatives from problem definition through delivery, implementation and adoption - Hands-on experience prototyping or evaluating AI-assisted or agentic workflows using business data, including testing outputs and actions, identifying failure cases and defining appropriate human oversight - Strong business analysis skills, including stakeholder discovery, current-state and future-state process mapping, requirements definition, business rules and acceptance criteria - Experience implementing and supporting agentic workflows in production, including monitoring reliability, managing exceptions and supporting user adoption - Experience using Python or comparable tools for repeatable analysis, workflow prototyping or lightweight automation - Familiarity with APIs, curated datasets, semantic-layer concepts and analytics engineering practices - Experience enabling self-service analytics or applying structured process improvement and change management methods - Experience working in a technology, engineering or fast-moving product environment