At a Glance
- Tasks: Support AI projects by analysing business needs and defining use cases.
- Company: Join a leading AI R&D company in Oxford, bridging academia and industry.
- Benefits: Enjoy competitive salaries, flexible work-life balance, and comprehensive health benefits.
- Other info: Diverse and inclusive workplace with excellent growth opportunities.
- Why this job: Make a real impact in AI while developing your career in a supportive environment.
- Qualifications: Experience in business analysis and a passion for emerging technologies required.
Aioi R&D Lab – Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society.
We sit at the intersection of academia and industry, working with Oxford's professors, researchers, and graduates alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published.
Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research of our own into agentic AI, privacy-preserving technologies, trustworthy AI, complex systems modelling, and quantum computing.
We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world.
The Business Analyst will support the successful delivery of Track 5 – Commercialisation & Value within the CODAS R&D Programme: a large-scale, multi-partner, international AI research programme backed by the Japanese government and major industry partners.
The role will work closely with the AI Commercialisation Strategists, researchers, engineers, industry stakeholders and programme partners to understand business challenges, identify and define potential AI use cases, and translate business needs into clear requirements that can inform research, product development and commercialisation activity.
Responsibilities
The role will provide the structured business analysis required to take opportunities from early-stage ideas through to clearly defined and validated use cases, supporting stakeholder discovery, requirements definition, process analysis, benefits assessment and business case development.
The purpose of the role is to ensure
- Business problems, stakeholder needs and opportunities are clearly understood, analysed and documented.
- Potential AI use cases are defined and validated with industry stakeholders, with clear business requirements, outcomes and measures of success.
- Business, functional and non-functional requirements are translated into structured inputs that can be understood and acted upon by research and engineering teams.
- Current and future-state business processes are analysed to identify where AI capabilities could deliver measurable value.
- Benefits, assumptions, dependencies, constraints and risks are identified and evidenced to support use-case prioritisation and business case development.
- Commercialisation Strategists are supported with the analysis and evidence required to develop robust commercial propositions, business cases and recommendations.
- Strong alignment is maintained between business needs, technical capabilities and research activity, helping ensure programme outputs address genuine industry challenges and have a clear route towards practical application.
- Knowledge, Experience and Qualifications
- Business Analysis
- Strong experience working as a Business Analyst within complex technology, digital, product or innovation environments.
- Demonstrable experience eliciting, analysing and documenting business, functional and non-functional requirements.
- Experience undertaking business process analysis, including current-state and future-state process mapping.
- Ability to take complex or ambiguous business problems and structure them into clearly defined needs, requirements and potential use cases.
- Experience identifying and documenting business outcomes, success measures, assumptions, dependencies, constraints and risks.
- Experience supporting use-case assessment, benefits analysis and business case development.
- Strong analytical and problem-solving skills, with the ability to gather, assess and synthesise information from multiple sources.
- Technical
- Comfortable working with technical teams, including engineers, data specialists and other technical subject matter experts.
- Ability to understand emerging technologies sufficiently to assess their potential application to business problems.
- Able to translate business needs into clear requirements for technical teams and communicate technical capabilities and constraints to non-technical stakeholders.
- An awareness of AI and machine learning concepts and an interest in developing knowledge of emerging AI technologies.
(The role does not require hands-on model development, data science or software engineering experience.)
Why Join Us?
We're all about helping you grow, with plenty of support to develop in your current role whilst also creating opportunities to explore new ones and advance your career.
We realise that we need to be a good fit for you above all else – so here’s what you can enjoy about AND-E:
- Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards.
- Unmatched Work-Life Balance.
- Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise.
We champion choice, flexibility, and balance in both work and home life.
Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported — including embracing neurodiversity and providing the tools needed to thrive.
We like to think our benefits package is one of the best, focusing on colleagues’ health, wealth, and lifestyle. We offer:
- Up to 28 Days annual leave with the option to buy/sell up to 5 days holiday*
- Healix Private Medical Insurance Options*
- 3 x Annual Salary Life Assurance*
- A range of health, wellbeing, and financial support benefits, including money back on health expenses, Employee Assistance Programme, Flu Jab voucher, Virtual GP service, and driving lessons* for you and your family.
- Additional perks such as a pension advisory service, family-friendly policies, season ticket loan*, cycle scheme*, and financial flexibility through Wagestream*.
- Subject to company performance and completion of probation
Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment.
Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics)
At AND-E, equal opportunity is more than a policy—it’s a promise.
We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic.
Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know.
We’re committed to making the process accessible and are happy to help
Business Analyst in Oxford employer: Aioi Nissay Dowa Europe
At AND-E, we pride ourselves on being a leading employer in the insurance sector, recognised as the Best Large Insurance Employer for 2023. Our warm and inclusive culture fosters employee growth through continuous development opportunities, competitive salaries, and a comprehensive benefits package that prioritises work-life balance and well-being. Join us in our mission to make journeys simpler, safer, and smarter, while being part of a diverse community that values every individual.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst in Oxford
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We think you need these skills to ace Business Analyst in Oxford
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Aioi Nissay Dowa Europe, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Aioi Nissay Dowa Europe
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Aioi Nissay Dowa Europe’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
