We are HCLTech, one of the fastest-growing large tech companies in the world and home to 225,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be.
If this sounds like an environment you’ll thrive in, then you’re in the right place. Join us on our journey in advancing the technological world through innovation and creativity.
We are seeking experienced Business Functional Analysts with strong expertise in banking data structures and data warehousing (DWH) to support data analysis and integration initiatives within a deposit systems environment (Tagesgeld focus).
The role focuses on end-to-end data analysis, requirement engineering, and data integration support, ensuring accurate and scalable data flows across legacy and modern banking systems.
Key Responsibilities
* Analyze and document data structures and business requirements across banking systems
* Work closely with DWH and DWH Belieferung processes to ensure accurate and consistent data flow
* Support data mapping, validation, and reconciliation activities
* Perform hands-on data analysis using SAS on mainframe systems
* Collaborate with business stakeholders, IT teams, and external partners
* Contribute to data quality assurance and data consistency across systems
Required Skills & Experience
* Proven experience as a Business Functional Analyst in banking / financial services
* Strong expertise in:
* Data structures and data analysis
* Data warehousing (DWH) and DWH Belieferung
* Experience in deposit products (Tagesgeld preferred)
* Hands-on experience with SAS on mainframe systems
* Strong analytical and communication skills
* German language skills (C1 mandatory)
Nice to Have
* Experience with data migration or integration projects
* Knowledge of core banking systems and data models
* Exposure to large-scale data or DWH transformation programs
Equal Opportunity Statement
We promote equal opportunities for all employees, regardless of their cultural and social background, gender, disability, age, religion, beliefs, and sexual identity. We give priority consideration to severely disabled applicants and those of equal status in the case of equal suitability.
HCLTech is committed to protecting and securing the privacy and confidentiality of the Personal Data which it collects directly or indirectly from you when applying for a job at HCLTech either directly or through a third-party human resources agency. This notice (the “Notice”) outlines and explains how HCL Technologies Limited including its subsidiaries, local employing entities, associates, and affiliated companies (collectively referred to as “HCLTech”, “us,” “our”, or “we”) will process your Personal Data in accordance with applicable privacy legislation(s).
👉 Candidate Data Privacy Notice | HCLTech Germany
https://www.hcltech.com/de-de/candidate-privacy-notice