Graphcore · Technology

Graphcore Data Analyst Interview

Complete guide to the Data Analyst interview at Graphcore — real questions, insider tips, salary data, and stage-by-stage preparation.

Total process typically takes 2-4 weeks from application to offer.

5 stages

12 questions

Practise this interview free

Overview

Interviewing for Data Analyst at Graphcore

Interviewing for a Data Analyst position at Graphcore is a distinct experience from applying to the same role elsewhere. Graphcore, as a high-growth organisation with 400+ employees, has built a structured hiring process that reflects both the demands of the Data Analyst role and the company's own values and culture. The process is designed to assess not just whether you can do the job technically, but whether you'll thrive in Graphcore's specific working environment.

For Data Analysts specifically, Graphcore tends to emphasise practical problem-solving and technical depth alongside cultural fit. You should expect a process that tests your ability to work with tools like SQL (complex queries, optimisation, window functions), Python (pandas, NumPy for data manipulation), Data visualisation (Tableau, Power BI, Looker) in realistic scenarios, not just abstract theory. The interviewers are typically people you'd be working with directly, so the conversation goes both ways — they're evaluating you, but you're also getting a genuine sense of the team and day-to-day work.

Understanding what Graphcore values — and how that translates into their interview expectations for a Data Analyst — gives you a significant advantage. This guide breaks down the full process, the specific questions you're likely to face, and how to prepare effectively.

Process

How Graphcore interviews Data Analysts

Graphcore's interview process for Data Analyst roles typically runs 2-4 weeks and involves 5 distinct stages. The process begins with application screening and progresses through increasingly focused assessments. Each stage is designed to evaluate different aspects of your suitability — from baseline qualifications through to cultural alignment and role-specific capability.

For Data Analyst candidates specifically, expect the technical stages to focus on your hands-on ability with SQL (complex queries, optimisation, window functions), Python (pandas, NumPy for data manipulation), Data visualisation (Tableau, Power BI, Looker), Excel (pivot tables, formulas, advanced features). Graphcore typically includes a practical assessment — this could be a coding challenge, a system design discussion, or a technical case study depending on the seniority level. The behavioural stages will probe your collaboration style and how you handle ambiguity, since Data Analysts at Graphcore work across teams regularly.

Application Screening

CV reviewed for relevant technical background and AI experience.

Tailor your application specifically for the Data Analyst role at Graphcore. Highlight experience with SQL (complex queries, optimisation, window functions), Python (pandas, NumPy for data manipulation), Data visualisation (Tableau, Power BI, Looker) and use language that mirrors their job description. Graphcore receives high volumes of applications, so a generic CV will be filtered out.

Phone Screen

Initial call covering background and technical interests.

Research Graphcore's approach to this stage. Prepare specific examples from your Data Analyst experience that demonstrate the qualities they value: technical excellence, ai/ml knowledge, innovation drive.

Technical Problem

Take-home technical challenge or coding problem.

Prepare concrete examples of your Data Analyst work. Be ready to solve problems live — talk through your reasoning, consider edge cases, and demonstrate how you'd use SQL (complex queries, optimisation, window functions) and Python (pandas, NumPy for data manipulation).

Technical Interview

Detailed discussion with engineers about technical approach and capabilities.

Culture and Leadership Round

Interview with team and leadership about fit and vision.

Qualities

What Graphcore looks for in Data Analysts

Technical Excellence

Graphcore values technical excellence because Strong fundamentals in software engineering, hardware design, or AI/ML..

For the Data Analyst role, show this by sharing examples where you used SQL (complex queries, optimisation, window functions) or Python (pandas, NumPy for data manipulation) to deliver measurable results.

AI/ML Knowledge

Graphcore values ai/ml knowledge because Understanding of machine learning workloads and AI computing challenges..

Innovation Drive

Graphcore values innovation drive because Passion for advancing AI technology and solving frontier problems..

Problem-Solving

Graphcore values problem-solving because Ability to tackle complex, novel technical challenges..

SQL fluency

For Data Analyst roles specifically, sql fluency is essential because Can you write complex queries efficiently? Do you think about query performance, joins, and aggregations intuitively?.

Prepare 2-3 examples from your experience that clearly demonstrate sql fluency. Graphcore's interviewers will probe this in behavioural questions.

Questions

Graphcore Data Analyst interview questions

Tell us about your background in software engineering or hardware design.

Graphcore asks this to assess your fit for the Data Analyst role and alignment with their values.

Frame your answer around your Data Analyst experience specifically. Reference Graphcore's values or recent projects to show you've done your research.

What interests you about AI and machine learning?

Graphcore asks this to assess your fit for the Data Analyst role and alignment with their values.

Frame your answer around your Data Analyst experience specifically. Reference Graphcore's values or recent projects to show you've done your research.

Describe your understanding of AI computing challenges.

Graphcore asks this to assess your fit for the Data Analyst role and alignment with their values.

Frame your answer around your Data Analyst experience specifically. Reference Graphcore's values or recent projects to show you've done your research.

How would you optimise software for specialist hardware?

Graphcore asks this to assess your fit for the Data Analyst role and alignment with their values.

Frame your answer around your Data Analyst experience specifically. Reference Graphcore's values or recent projects to show you've done your research.

Video Interview Practice

Choose your interview type

Your question

“Tell me about yourself and what makes you a strong candidate for this role.”

30s preparation 2 min recording Camera + mic

Preparation

How to prepare for your Graphcore Data Analyst interview

Preparing for a Data Analyst interview at Graphcore requires a dual focus: you need to master the role-specific technical requirements and understand how Graphcore operates as an organisation. Start by thoroughly reviewing the job description and mapping your experience against every requirement. For each skill or qualification listed, prepare a specific example from your career that demonstrates competence — ideally with quantifiable outcomes.

On the technical side, refresh your knowledge of SQL (complex queries, optimisation, window functions), Python (pandas, NumPy for data manipulation), Data visualisation (Tableau, Power BI, Looker), Excel (pivot tables, formulas, advanced features). Graphcore will likely test these in practical scenarios, so practice working through problems out loud. Review Graphcore's tech stack or engineering blog if publicly available — understanding their technical choices helps you frame your answers in their context rather than speaking generically.

Research Graphcore beyond their website: read recent news, check their Glassdoor reviews (their rating is 4.1/5 (based on recent reviews)), and look at what current employees say about working there. Understanding their culture helps you frame your answers authentically and ask informed questions — interviewers notice when a candidate has done their homework versus when they're winging it.

Preparation checklist

1Review the Data Analyst job description in detail and map each requirement to a specific example from your experience
2Research Graphcore's recent news, strategic direction, and ai hardware and software position over the last 12 months
3Prepare 6-8 examples using situation-action-result structure covering: technical excellence, ai/ml knowledge, innovation drive
4Practise discussing your experience with SQL (complex queries, optimisation, window functions), Python (pandas, NumPy for data manipulation), Data visualisation (Tableau, Power BI, Looker), Excel (pivot tables, formulas, advanced features) in concrete, outcome-focused terms
5Prepare 3-5 thoughtful questions about the Data Analyst role, team structure, and Graphcore's direction — avoid questions answered on their website
6Review Graphcore's values and culture: Technical Excellence and AI/ML Knowledge — prepare examples showing alignment
7Set up your development environment and practise technical problems in SQL (complex queries, optimisation, window functions) and Python (pandas, NumPy for data manipulation)
8Plan your interview logistics: know the format (in-person/remote), dress code, and who you're meeting — check LinkedIn for interviewer backgrounds if known

The role

Working as a Data Analyst at Graphcore

A typical day as a Data Analyst at Graphcore blends the core responsibilities of the role with Graphcore's specific working culture and pace. In a growing organisation, you'd likely have more autonomy and broader responsibilities, with less rigid structure and more direct access to senior decision-makers. Graphcore's ai hardware and software focus means the work carries a results-oriented rhythm where impact is measured and visible.

Your day would typically involve writing sql queries to extract and analyse data. data analysts spend 40% of their day in sql — pulling data from data warehouses, aggregating metrics, building fact tables. sql proficiency directly. At Graphcore specifically, this work is shaped by their emphasis on technical excellence and ai/ml knowledge, so expect collaborative working, regular check-ins, and an environment where proactive contribution is noticed and rewarded.

Compensation

Data Analyst salary at Graphcore

Typical range

£24,000–£35,000 to £38,000–£55,000

Data Analyst salaries at Graphcore are generally competitive for the sector. As a high-growth organisation, Graphcore typically reviews salaries annually with adjustments based on performance and market benchmarking. The UK average for Data Analysts ranges from £24,000–£35,000 at junior level to £60,000–£90,000+ for experienced professionals, and Graphcore's positioning within that range reflects their ai hardware and software standing and location.

Beyond base salary, Graphcore offers a benefits package that includes Competitive equity package, Flexible working arrangements, Comprehensive health insurance, Pension contributions, Professional development budget. For Data Analysts specifically, the tech-specific perks like conference budgets, learning stipends, and flexible working arrangements can add significant value.

Application

How to apply for Data Analyst at Graphcore

Getting through the door for a Data Analyst role at Graphcore starts well before the interview. Graphcore typically advertises roles on their careers page and major job boards, but for competitive positions, a direct referral from a current employee can significantly improve your chances. If you know anyone at Graphcore — or can connect through LinkedIn or industry events — a warm introduction carries more weight than a cold application.

Your application should speak directly to the Data Analyst requirements and Graphcore's stated values. Include specific technical projects, tools (SQL (complex queries, optimisation, window functions), Python (pandas, NumPy for data manipulation), Data visualisation (Tableau, Power BI, Looker)), and quantified outcomes. Graphcore's technical reviewers will scan for evidence of hands-on delivery, not just theoretical knowledge.

Write a cover letter that names Graphcore and the Data Analyst role explicitly — generic applications are obvious and get filtered. Reference something specific about Graphcore: a recent project, their market position, or a strategic direction that aligns with your experience. Keep it to one page and lead with your strongest relevant achievement.

Common mistakes to avoid

1Applying with a generic CV that doesn't mention Graphcore or the specific Data Analyst requirements — tailoring your application is non-negotiable here
2Not researching Graphcore's values and interview style — candidates who can't articulate why they want to work specifically at Graphcore rarely progress past first-round
3Preparing only generic Data Analyst examples without connecting them to Graphcore's ai hardware and software context and priorities
4Underestimating the technical depth required — Graphcore expects you to demonstrate practical ability, not just theoretical knowledge
5Failing to prepare thoughtful questions — asking nothing, or asking questions easily answered on Graphcore's website, signals a lack of genuine interest in the role

FAQs

Frequently asked questions

How long does the Graphcore Data Analyst interview process take?

Graphcore's interview process for Data Analyst roles typically takes 2-4 weeks. This varies depending on the seniority of the role and the number of candidates at each stage. Some candidates report faster timelines when there's an urgent hiring need.

What salary can a Data Analyst expect at Graphcore?

Data Analyst salaries at Graphcore range from £24,000–£35,000 for junior positions to £60,000–£90,000+ for experienced professionals. Graphcore, as a high-growth employer, generally offers market-rate compensation with room for negotiation.

What does Graphcore look for in Data Analyst candidates?

Graphcore prioritises technical excellence, ai/ml knowledge, innovation drive when hiring Data Analysts. Beyond technical competence, they value candidates who align with their company culture and can demonstrate measurable impact from previous roles.

Is it hard to get a Data Analyst job at Graphcore?

Graphcore is a competitive employer for Data Analyst positions. The selection process is rigorous but fair — candidates who prepare thoroughly and demonstrate genuine interest in the role and company have a strong chance. The key differentiator is preparation: candidates who research Graphcore specifically and connect their experience to the role's requirements consistently outperform those who don't.

What's the best way to prepare for a Data Analyst interview at Graphcore?

Start by researching Graphcore's values, recent news, and ai hardware and software position. Prepare 6-8 structured examples from your Data Analyst experience covering technical excellence and ai/ml knowledge. Practise discussing your technical skills (SQL (complex queries, optimisation, window functions), Python (pandas, NumPy for data manipulation), Data visualisation (Tableau, Power BI, Looker)) with specific outcomes. Prepare thoughtful questions about the role and team.

Does Graphcore offer graduate or entry-level Data Analyst positions?

Graphcore occasionally advertises entry-level Data Analyst positions. For a growing organisation, these may not be formalised graduate schemes but rather junior roles where you'd learn on the job with mentoring support.

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