Senior Data Analyst / Data Engineer – Trade Finance (m|f|x)

Senior Data Analyst / Data Engineer – Trade Finance (m|f|x) Berlin

DB Technology is a global team of tech specialists, spread across multiple trading hubs and tech centres. We have a strong focus on promoting technical excellence – our engineers work at the forefront of financial services innovation using cutting-edge technologies.

Our Berlin location is our most recent addition to our global network of tech centres and growing strongly. We are committed to building a diverse workforce and to creating excellent opportunities for talented engineers and technologists. Our tech teams and business units use agile ways of working to create #GlobalHausbank solutions from our home market.

Trade Finance and Lending (TF&L) is one of the leading business departments in the Corporate Bank working with clients around the globe. It has great dependency on IT platform to service the Bank’s clients. The group is working on technology refresh of their IT platform to enable new services for customers as well as to achieve next level of business processes automation.

Your primary focus will be to design and build the central data platform: analytics/MIS/BI and data model for TF&L business of the Bank.

• Work closely with business stakeholders and product owner to define MIS solution roadmap and requirements.
• Design, build and maintain MIS dashboards and data feeds; consolidate multiple datasets into datamarts and metrics for the business users and the clients of the bank.
• Define and maintain org-level central data model for TF&L business, evolve it to support project goals but keep it consistent for the future.
• Partner with data engineering teams to align the data platform technical roadmap with MIS requirements.
• Support audit, regulatory requests and management teams with data investigations, deep dives and ad-hoc analysis.
• Experience in data analysis and data interpretation, good hands-on SQL knowledge (ClickHouse is a plus), experience in BI Tools, e.g. Tableau (preferred), Power BI, Looker etc. Python is a plus.
• Understanding of dashboard design and data visualisation principles.
• Business requirements analysis and management skills; relevant experience in the banking sector is a plus.
• Strong communication skills, stakeholder management, communication with groups of SMEs, making decisions in a group setting.
• Experience in data modelling, logical and physical data models, protocol formats; experience in modelling tools e.g. Legend, Power Designer is a plus.
• Knowledge of data architecture, data pipelines, ELT/ELT, data quality controls.
• Fluent written and spoken English – you will communicate a lot on your job as part of a global team.

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