ING is focusing on enhancing digital sales with advanced analytics and machine learning. As a Data Analyst, you'll work with ING's Global Analytics Team to prepare high-quality datasets for propensity-to-buy models, helping to drive personalized marketing and improve conversion rates. You'll act as the bridge between business needs and technical solutions, ensuring datasets are business-ready.Key responsibilities:Explore data sources and ensure data quality.Prepare datasets for model development and build reliable data pipelines.Translate business needs into actionable data.Identify and resolve data quality issues.Ensure compliance with ING’s data privacy and governance standards.RequirementsRequired skills:Strong SQL skills and experience with analytical pipelines (e.g., Databricks, BigQuery, SAS, Oracle).Proven experience preparing data for DS/ML use cases (e.g., propensity, churn, CLV).Familiarity with ING data systems, especially DM_CAN.Ability to present technical findings to non-technical stakeholders.Knowledge of Python/SAS is a plus.Nice to have:Experience in model building and Data Science.Understanding of Business Banking products (accounts, payments, lending, etc.).Knowledge of data quality frameworks and MLOps/DS governance.BenefitsWhy this role matters:Your work will speed up propensity-to-buy modeling and improve targeting across Business Banking, directly enhancing conversion and customer relevance.Note:Only applicants with a valid work permit for the Netherlands will be considered.Terms and conditions:A salary range up to € 5.000.00 based on 36 hours per week, depending on experience.Holiday allowance, 13th-month bonus, and pension scheme.Hybrid working, home office allowance, and travel reimbursement.