Data Analyst With Strong Data Scientist Skills

282

Amsterdam, Netherlands
Hybrid
Develop complex reports
Design and analyze a/b testing
Generate business insights
ING is seeking a Data Analyst with strong Data Scientist skills to join their Retail Banking Analytics team in Amsterdam. The role involves using analytical skills to optimize product funnels and develop modeling pipelines, with a focus on credit acceptance and personalization projects

Job Summary

  • You will have a hybrid role doing working mostly as an analyst and sometimes as a data scientist.
  • We work in a fun and creative environment, and we are dedicated to bringing out the best in both each other and our projects through collaboration and knowledge sharing.
  • The keys for success are: You have strong background in statistics (for example a master in econometrics) and experience building classifiers based on boosting algorithms.

Matching Summary

Match Score: 85

ING is seeking a Data Analyst with strong Data Scientist skills to join their Retail Banking Analytics team in Amsterdam. The role involves using analytical skills to optimize product funnels and develop modeling pipelines, with a focus on credit acceptance and personalization projects.

Skills & Requirements

Must-have

  • Develop complex reports
  • Design and analyze A/B testing
  • Generate business insights
  • Develop full modelling pipeline
  • Tree-based modelling approaches
  • Python, Pyspark, and SQL coding

Nice-to-have

  • Collaboration and knowledge sharing
  • Hybrid role with analyst focus
  • Motivated and skilled colleagues
  • Informal and creative environment

Key Requirements

  • At least 4 years of experience
  • Financial sector experience
  • Domain knowledge in credit risk, collections, pricing or marketing intelligence
  • Strong background in statistics
  • Experience building classifiers based on boosting algorithms

Work Rights

Not specified

Tailored Resume

Cover Letter