Data Analyst

October 23, 2026

Hybrid

Middle

Amsterdam, Netherlands

Indeed

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Mandatory office attendance
English is required

Description

Data Analyst role in the Transaction Banking Data Domain, part of the BI & Analytics Center of Expertise. The domain owns BI, reporting and data analytics for a portfolio covering accounts, payment cards, savings, insurances, open banking APIs and digital products like Apple Pay/Google Pay. The analyst works with large data sources on a cloud-based analytics platform, turning business questions into KPIs, reports and analyses for strategic, regulatory and operational decisions. The domain counts 40+ professionals across the Netherlands and India and follows agile principles.

Responsibilities

Act as a data sparring partner with business stakeholders on smart KPIs and reports with relevant insights for the right audience
Understand underlying processes for different products and services and connect the dots
Work both in individual contributor roles leading a project and in co-creation with multiple analysts
Engage in complex long-term projects with focus on continuous delivery in small increments
Extract actionable insights from large data sources and perform recurring or ad hoc analyses and reports
Conduct data research and analytics on datasets covering products, transactions, channels, customers and CRM/sales
Develop data science skills by collaborating with the Advanced Analytics & AI CoE on experiments and proof-of-concepts
Translate business questions into valuable Advanced Analytics and AI use cases
Collaborate with multidisciplinary teams and manage different stakeholders
Practice storytelling through numbers and effective visualization technique
Organize work in a structured manner and communicate effectively to all parties involved
Focus on continuous improvement and automation of existing deliverables
Remain proactive in coming up with ideas to solve technical, business and data challenges
Challenge the status quo and ask enough questions to deep dive

Requirements

Degree in STEM or economics/business, with an analytics focus
Minimum 3 years of work experience, with at least 2 years in a data or analytical field
Experienced in programming languages such as SQL and Python
Experience with data visualization tools like Power BI or Tableau
Initial experience with Advanced Analytics and AI: forecasting, prediction, cluster analysis, machine learning and GenAI
A combination of analytical skills, intellectual curiosity, stakeholder management, communication and reporting skills
Effective written and verbal communication skills in English and Dutch
Nice to have: experience working on Azure, Databricks or similar cloud platforms
Nice to have: knowledge of agile methodology and ability to manage multiple priorities simultaneously
Nice to have: understanding of Data Warehouse concepts and data modelling techniques
Nice to have: knowledge of the financial sector and/or banking products
Nice to have: Microsoft Certified Power BI Data Analyst Associate (PL-300)
Nice to have: Databricks Certified Data Analyst

Conditions

Attractive gross monthly salary based on a 36-hour work week, including holiday allowance and a flexible benefit budget
Excellent pension scheme preparing you for the future
Working from home is possible in consultation with the team, with an ergonomic home office setup provided
Five weeks of vacation per year plus two mandatory days off, with the option to purchase up to four additional weeks annually
Five "Banking for better days" extra days off for personal development or volunteer work
Development budget of €1 000 per year that can accumulate up to €3 000
Annual public transport pass with free public transportation throughout the Netherlands for business and private use
Employment conditions and salary scales described in the Collective Labour Agreement (CLA)