Dashboard & BI specialist 80% - 100% (f/m/d)

Zürich

Key information

Publication date:05 August 2025
Workload:80 – 100%
Place of work:Zürich

Job summary

Join Julius Baer, a leader in wealth management, where individual qualities are valued. Enjoy a dynamic work environment with opportunities to innovate.

Tasks

Build and implement dashboards and data pipelines for banking operations.
Design ETL and visualization solutions to enhance operational efficiency.
Manage multiple projects and collaborate with technology teams effectively.

Skills

University degree in Computer Science, Engineering, or Economics required.
Proficient in ETL pipelines and data visualization tools like PowerBI.
Experienced in project management and able to gather business requirements.

Is this helpful?

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

Builds and implements Dashboards and Data Pipelines for Banking Operations. The specialist will work on projects that reduce regulatory/operating risks, increase efficiency and scalability.

IHRE AUFGABEN

Generate efficiencies and risk reduction in Operational Processes, by designing & building ETL and visualization solutions

Support business stakeholders in defining the business requirements

Build the required ETL pipelines to process data in an efficient, secure and stable way

Design simple and clear visualizations to enable business decisions or controls

Project Management: Manage multiple projects simultaneously to implement strategic solutions for Operations including collaboration with Technology

YOUR PROFILE

Competencies

Multi-year experience in a Business Intelligence role

Strong knowledge and ability in ETL pipelines, Data Modelling, Data Cleansing, creating and maintaining Data Products (Alteryx, Dataiku or similar), SQL

Expertise in Data Visualization: PowerBI, Tableau or similar

Ability to break down complex business requirements into key KPIs and visualizations

Project Management skills – Planning, requirements gathering, documentation, implementation, stakeholder management

Experience with Python is a plus

Experience in Process design, process automation, data science are a plus

Education

University Education in Computer Science, Engineering, Economics

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