Data Analyst - Collections (f/m/x)

Data Analyst - Collections (f/m/x) in Frankfurt Do you tackle Data with ease thanks to your analytical talent? Whether in presentations, communication, or SQL - you always speak the right language? And do you value a company that puts its people first? Perfect! Apply now with your CV and help us gain clarity through data. Your Tasks Your SQL skills are second to none when it comes to translating operational and strategic requirements in Daily Banking into smart data solutions. With your analytical mindset, you refine data outputs and deliver precise answers to complex questions. You bring clarity to our Collections performance data by identifying patterns and drivers, developing hypotheses, and testing them. In doing so, you uncover root causes and derive concrete optimisation measures. Data quality and integrity are your top priority: you validate data sources, detect inconsistencies, and ensure transparency across systems. In close collaboration with data owners and stakeholders, you align on definitions, KPIs, and quality standards. Of course, you are deeply involved in all things reporting: you design and maintain requirement-driven dashboards, define relevant KPIs, and turn your insights into concrete, actionable recommendations with measurable business impact. And last but not least, you actively support our Data Science teams, for example in modelling initiatives (e.g. segmentation, forecasting) and the development of contact strategies through A/B testing. Your Profile Degree in Computer Science, Statistics, Mathematics, or a comparable field of study / qualification Very strong SQL skills, including joins, aggregations, and window functions Advanced Excel skills, particularly in formulas, pivot tables, and data manipulation Experience with BI tools such as Power BI and Tableau; basic knowledge of Python or R Advanced understanding of data structures, integration flows, relational database concepts, and modelling principles We offer many benefits Company pension plan, capital-building offers, free Deutschlandticket & bicycle leasING, company restaurant Hybrid working: In addition to working in the office, you can also work remotely - within operational, regulatory and legal requirements. Individualized work schedule models, sabbatical, subsidization of nursing & childcare costs Personal budget for continuing education and development as well as health; plus, a personal budget to set up your mobile working space Apply now: ing.de/karriere Your SQL skills are second to none when it comes to translating operational and strategic requirements in Daily Banking into smart data solutions. With your analytical mindset, you refine data outputs and deliver precise answers to complex questions. You bring clarity to our Collections performance data by identifying patterns and drivers, developing hypotheses, and testing them. In doing so, you uncover root causes and derive concrete optimisation measures. Data quality and integrity are your top priority: you validate data sources, detect inconsistencies, and ensure transparency across systems. In close collaboration with data owners and stakeholders, you align on definitions, KPIs, and quality standards. Of course, you are deeply involved in all things reporting: you design and maintain requirement-driven dashboards, define relevant KPIs, and turn your insights into concrete, actionable recommendations with measurable business impact. And last but not least, you actively support our Data Science teams, for example in modelling initiatives (e.g. segmentation, forecasting) and the development of contact strategies through A/B testing. Degree in Computer Science, Statistics, Mathematics, or a comparable field of study / qualification Very strong SQL skills, including joins, aggregations, and window functions Advanced Excel skills, particularly in formulas, pivot tables, and data manipulation Experience with BI tools such as Power BI and Tableau; basic knowledge of Python or R Advanced understanding of data structures, integration flows, relational database concepts, and modelling principles