At a Glance
- Tasks: Support AI-driven sales process optimisation and enhance business intelligence.
- Company: Join Euronext, a leading European capital market innovator.
- Benefits: Flexible career paths, continuous learning, and impactful projects.
- Other info: Be part of a diverse team driving sustainable market innovation.
- Why this job: Shape the future of capital markets with cutting-edge AI solutions.
- Qualifications: Experience in AI tools and strong analytical skills required.
The predicted salary is between 63000 - 77000 £ per year.
Are you ready to shape the future of capital markets? We are looking for a VIE - AI sales process analyst to join the Sales team. The position will be based in London, and start 1 November 2026. You will report to the Head of Sales & Business Development.
You will primarily be responsible for:
- Supporting the redesign and optimisation of sales processes through artificial intelligence and agentic AI solutions
- Identifying, evaluating and implementing high-impact AI use cases across sales and marketing activities
- Acting as the key liaison between sales & marketing and the Group AI & digital teams
- Monitoring emerging AI capabilities and translating them into practical business applications
- Transforming commercial reporting into actionable business intelligence
- Designing and automating dashboards and performance tracking tools
- Enhancing management reporting through data visualisation, automation and AI-powered insights
- Producing strategic client profiles and executive briefing materials for senior leadership meetings
- Analysing client activity, revenue trends and market developments
- Collaborating with sales, marketing, data, AI and digital teams on cross-functional initiatives
- Supporting key client working groups and selected commercial events
Your profile:
- Technical skills: Experience with artificial intelligence and machine learning tools (such as Python, TensorFlow or Power BI), data visualisation, dashboard automation, and business intelligence platforms
- Soft skills: Strong analytical mindset, excellent communication and collaboration skills, adaptability, and proactive problem-solving attitude
- Number of years of experience: Internship or up to two years in a relevant field (sales, marketing, data analysis or AI)
- Qualifications: Bachelor’s or Master’s degree in business, data science, computer science, engineering or related discipline; fluency in English required
Join a company where market infrastructure is built on innovation - and where every innovation starts with a bold mind asking, “What’s next?”. At Euronext, we believe change is a starting point, not an obstacle. We look for people who see growth opportunities, think long term and want to help shape capital markets for future generations.
Working with us means:
- Being part of a European, international and diverse team – Collaborate across borders with talented colleagues connected by a shared ambition and purpose.
- Learning as you grow – Develop your skills through continuous learning, real responsibilities and flexible career paths that evolve with you.
- Having an impact – Contribute to projects that matter, in an agile and dynamic environment where your ideas help drive progress.
- Driving sustainability – Play an active role in building transparent, responsible and sustainable capital markets for the long term.
Apply by submitting a CV in English.
The Sales team supports the commercial expansion strategy, by seeking business opportunities, building offerings, developing relationships with clients, supporting sales and marketing campaigns. The Sales team offers a complete range of skills from business opportunities assessment to client relationship management and including marketing strategies.
Euronext is the leading European capital market covering the entire capital markets value chain, from listing, trading, clearing, settlement and custody, to solutions for issuers and investors. We operate seven national stock exchanges, handling 25% of European lit equity trading. Our products include equities, FX, ETFs, bonds, derivatives, commodities and indices. Euronext also provides clearing and settlement services through Euronext Clearing and our network of Euronext Securities CSDs. In addition, Euronext runs MTS, one of Europe’s leading electronic fixed income trading markets, and Nord Pool, the European power market. The company has a diverse domestic and international client base.
We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.
Sales Analyst (VIE) employer: Euronext
Join a forward-thinking company that is at the forefront of capital markets innovation, where as a Product Manager for Digital Assets, you will have the opportunity to lead transformative projects in a dynamic and collaborative environment. With offices in Paris and London, we offer a vibrant work culture that values diversity and fosters professional growth, ensuring you can thrive while shaping the future of digital assets. Our commitment to employee development, coupled with a focus on regulatory compliance and cutting-edge technology, makes us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Sales Analyst (VIE)
✨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 Euronext!
✨Show Off Your Projects
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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 Euronext.
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We think you need these skills to ace Sales Analyst (VIE)
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 Euronext, 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 Euronext. 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 Euronext
✨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 Euronext!
✨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.
