Credit Risk Data Analytics & Development Executive

“Tomorrow is our home."

Enjoy the inspiring environment that enables you to realize your potential at BSH Home Appliances Group: As a leading manufacturer of home appliances and solutions, we improve people’s quality of life and enjoy the trust of millions of consumers. Whether it is one of our global brands – Bosch, Siemens, Gaggenau and Neff – or a local brand, they all thrive on the excellence of our teams. Different individuals, united by a common goal, contribute their personal skills and passion. We are determined to empower each one of them. Join us now and give your career a home.”

You think it’s time for something different? Then you are at the right place! You will be working in an exciting, international environment and contributing personally to the company’s success. Expect exciting projects and versatile tasks, such as;

Your Tasks

/ Monitoring data flows and performing data-quality checks (including SAP-based validations) to ensure reliable inputs for credit-risk analyses

/ Supporting credit-risk management by conducting data-driven analyses and enhancing risk-monitoring systems and early-warning mechanisms

/ Building and automating departmental reports, dashboards and early-warning indicators using Microsoft Power Platform, Qlik Sense and other BI tools

/ Working with SQL and database systems to manage, validate and analyze data sets used in credit-risk assessments

/ Designing and maintaining data workflows, including ETL pipeline implementations (e.g., SSIS), to support high-quality and scalable data processes

/ Basic understanding of credit-risk concepts, trend analysis and simple forecasting techniques (advanced level not required; willingness to learn is essential)

Your Profile

/ Customer- and results-oriented, with an analytical mindset, adaptable to multicultural environments, and committed to collaborative teamwork

/ Fluency in English is a prerequisite, and a minimum of 2–3 years of similar experience is required

/ Preferably a bachelor’s degree in engineering, statistics, mathematics or related fields

/ Strong command of SQL and data-query languages, with experience in data modelling, database management and ETL workflows (e.g., SSIS)

/ Experience in data analytics, financial analysis or credit-risk management is an advantage,ability to perform basic coding tasks to support data processing, automation and analytical workflows

/ Proficiency in Microsoft Power Platform, Power BI, Qlik Sense and familiarity with SAP

/ Proficient in MS Office (PowerPoint, Excel, Word),completed military service for male candidates

Your Benefits

/ Flexible working hours schemes and diverse career opportunities

/ Individual development programs and international perspectives

/ Modern healthcare services