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.

Requirements

Required 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.

Benefits

Why 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.