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# Data Analyst with strong Data Scientist skills

- **Company:** ING Bank N.V.
- **Location:** Amsterdam, Netherlands
- **Experience:** Experienced
- **Salary:** €4,597.0 - €7,461.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Python (Programming Language), Standard Sql, SQL Databases, Pyspark, Data Analytics
- **Published:** June 29, 2026
- **Apply:** https://nl.indeed.com/viewjob?jk=f9428c6e6f3d45c9

## About the Role

Do you have experience in SQL?, We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious, keep learning and take on responsibility. In return, we'll back you to develop into a better version of yourself. They keys for success are:

 * You have strong background in statistics (for example a master in econometrics) and experience building classifiers based on boosting algorithms
 * You have at least 4 years of experience in the financial sector. Domain knowledge in either credit risk, collections, pricing or marketing intelligence is a must.
 * You are fluent coding in Python, Pyspark and SQL
 * You have excellent communication and presentation skills

## Description

You will be involved in projects related to credit acceptance, personalisation, transaction categorization and pricing. You will have a hybrid role doing working mostly as an analyst and sometimes as a data scientist. As analyst, you will use your analytical and communication skills to optimize product funnels, develop complex reports, design and analyse A/B testing or generate other business insights. As data scientist you will develop full modelling pipeline using tree-based approaches. You will be part of a team with highly skilled and motivated colleagues, take ownership of your tasks and interact with fellow team members by sharing knowledge and experience., As data analyst you will have a hybrid role. You will be the one extracting the business insights from the data but you can also be actively involved in the development of the full data science pipeline. You will collaborate with cross-functional teams, including product managers, engineers, marketers and data scientists. You will work on projects such as:

 * Credit acceptance modelling and funnel analysis
 * Developping complex reporting tools covering the credit risk and collections funnels, including monitoring data quality and integrity
 * Being part of the customer interaction team that develop propensity to buy models and design, implement and analyse A/B tests (and other experiment designs)
 * Analyzing test results using statistical methods to derive actionable insights and make data-driven recommendations
 * Presenting findings and recommendations to stakeholders in a clear and concise manner


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