Berlin, Germany Remote (City) Full-time

Trade Republic is hiring an Analytics Engineer (Berlin)

Responsibilities

  • Collaborate with product and business teams to design and implement impactful product metrics
  • Build analytical tools including data models, dashboards, reports, and internal tooling to support independent data analysis
  • Enhance cloud-based data architecture with a focus on performance, cost efficiency, and scalability using software engineering best practices
  • Lead initiatives from initial planning through to implementation and user adoption, operating with independence

Benefits

  • A workplace culture that values initiative, high performance, and driven collaboration
  • Strong focus on measurable results and mutual accountability, aimed at addressing Europe's pension gap and expanding financial access
  • Dedication to fostering an inclusive environment where all individuals are respected and empowered to grow professionally

Work Arrangement

Remote (City/Region) — Berlin

Other

For any questions on diversity, equity, and inclusion during the hiring process, contact your recruitment representative.

About company
Trade Republic

Trade Republic is a digital financial institution offering investment and banking services through a mobile app. It enables users to invest in stocks, ETFs, crypto, and private markets with low fees and no hidden costs.

The platform provides features like Savings Plans, Child Savings Accounts, and interest-bearing accounts, allowing users to grow their money responsibly. It emphasizes transparency, customer control, and ease of use across all financial activities.

Trade Republic Bank GmbH is a licensed German bank supervised by BaFin. Customer funds are safeguarded through omnibus trust accounts at partner banks and segregated custody accounts, with protection under German and EU financial regulations.

The company serves over 10 million customers across 18 European countries and continues to expand its product offerings in responsible investing, banking, and wealth management.

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Job Details
Department Data
Category Data & ML
Posted 7 days ago