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Trainee Data Analist

Posted 19 Apr 2026
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Work experience
0 to 2 years
Full-time / part-time
Full-time
Job function
Salary
€4,870 per month
Degree level
Required languages
English (Fluent)
Dutch (Fluent)
Deadline
17 October 2026

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As a Data Analyst trainee, you will learn how to sift through complex datasets to identify patterns, trends and risks that matter to the business. What stories do the numbers tell and which decisions should follow? You act as a trusted intermediary between data and the business, translating insights into clear advice that supports operational, tactical and strategic decision-making. In this role, you will work with structured data, create impactful reports and dashboards, and help improve data-driven ways of working across the bank. With this traineeship, you take the first solid step in your career as a data analyst while developing both professionally and personally.

At a glance

We vragen

  • Een leergierige houding
  • Analytische skills

We bieden

  • Een uitgebreid arbeidsvoorwaardenpakket
  • Regie op eigen ontwikkeling

Waarom ABN AMRO?

  • Bouwen aan de bank van de toekomst
  • Veel interne doorgroeimogelijkheden

Your Job

  • Conduct business and consumer data research and perform quantitative analyses to support daily decision-making.
  • Collect, combine and structure data from multiple sources and extract actionable insights from large datasets.
  • Deliver standard and ad hoc reports, dashboards and datasets, enriched with analyses such as trend analysis and root-cause analysis.
  • Translate insights into clear visualizations, metrics and KPIs using tools like Power BI.
  • Support and improve management information, financial reporting and performance monitoring.
  • Work closely with stakeholders across business, IT, Risk, Compliance and data teams to ensure that information products align with business objectives.
  • Proactively identify opportunities to improve data quality, reporting processes and analytical products.
  • Contribute to structured, fact-based decision-making in a regulated banking environment, working in Agile/Scrum teams where applicable.

Where will you start in this organisation?

For this role, you will start in one of the departments within our organization, like the Detecting Financial Crime unit and our subsidiary International Card Services (ICS). You will do different assignments within your team and after the programme, start as a Data Analyst for your team. Wherever you end up: a lot has to be done. By joining our ABN AMRO Data Traineeship, you’ll be taking the first step in your personal and professional development towards becoming a data expert.

About the Traineeship

The traineeship lasts 18 months and is specially designed to give you a kick start.

What you can expect:

  • Focus on your personal and professional development
  • Inspiring masterclasses on current and innovative themes within the bank
  • An intensive Data Bootcamp to strengthen your Data & AI skills
  • Two rotations to other departments to take a broader view and learn more

You are never alone: you will receive guidance from a manager, buddy and coach who will actively help you with your development. After completing the traineeship, you will start in the position you applied for.

Your profile

As a Data Analyst trainee you should have a degree in mathematics, statistics, physics, econometrics or business, with analytics focus. You must have strong skills in math, science, programming, databases, modelling, and predictive analytics. You also recognize yourself in the following points:

  • Entrepreneurial spirit, creative mind-set and capable of assessing and evaluating risks;
  • Knowledge of or at least interested in technology and how this supports business improvements;
  • Thrives in an international context;
  • Thinks in terms of what’s possible, sees opportunities and takes a solutions-oriented approach;
  • Self-starter who readily assumes responsibility;
  • You have a valid EU work permit.

Of course, you do not have to have every skill from the described profile right away. It is precisely the potential to develop skills that makes your talent visible during the program.

What’s your experience?

  • Experience working with Jave, SQL, R or Python;
  • Experience in statistical, data mining and machine learning techniques (like boosting, generalized linear models/regression, and social network analysis);
  • Experience visualizing and presenting data;
  • Strong written and verbal communication skills;
  • A proactive approach, with an ability to manage multiple priorities simultaneously.
  • A basic understanding of data mining techniques, emerging technologies (MapReduce, Spark, large-scale data frameworks, machine learning, neural networks);
  • No more than 2 years of work experience (internships do not count as work experience), this is a graduate programme.

Nice to have

  • Experience with cloud services, preferably Azure Cloud Services;
  • Experience analysing data from third-party providers like Adobe Analytics, Google Analytics etc.;
  • Experience working with distributed data and computing tools like Hadoop, Hive, Map/Reduce, MySQL, and Spark;
  • Familiarity with the Agile methodology.

What we offer

A place in a dynamic department. Where you are given the space to get the best out of yourself, to work flexibly and to grow – both personally and professionally. For example, with your annual development budget of €1,000 and our vitality program.

Furthermore:

  • A benefit budget of 11%, with which you can buy flexible employment conditions
  • A public transport annual subscription and a good pension scheme

De financiële wereld is nog nooit zo in beweging geweest als nu! Technologie evolueert razend snel en de kracht van innovatie heeft veel invloed op het financiële systeem. We hebben jouw talenten nodig om onze bank toekomstbestendig te maken. Wat je interesses of achtergrond ook zijn. We bieden een werkomgeving vol ondernemerschap en vrijheid om jezelf te ontwikkelen, zowel op professioneel als op persoonlijk vlak.

Finance & Banking
Amsterdam
Active in 19 countries
19,000 employees
60% men - 40% women
Average age is 38 years