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Julius Baer
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Data Scientist / Analyst – People Data 100% (w/m/d)
Switzerland
· Full-time
·
Not Applicable
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.
Join the People Analytics team at Julius Baer to help drive data-informed people decisions across the organization. We are seeking data professionals to contribute to the development and delivery of high-quality analytics solutions using modern data platforms and visualization tools. In this role, you’ll play a key part in transforming raw data into actionable insights that support strategic HR and business objectives.
This is a fixed-term opportunity for 12 months, ideal for candidates looking to apply strong technical and analytical expertise in a dynamic, collaborative environment. The roles are based in Zurich and you will be part of a wider HR Services and Digital HR function responsible for HR technologies, operations, and analytics.
YOUR CHALLENGE
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Join the People Analytics team at Julius Baer to help drive data-informed people decisions across the organization. We are seeking data professionals to contribute to the development and delivery of high-quality analytics solutions using modern data platforms and visualization tools. In this role, you’ll play a key part in transforming raw data into actionable insights that support strategic HR and business objectives.
This is a fixed-term opportunity for 12 months, ideal for candidates looking to apply strong technical and analytical expertise in a dynamic, collaborative environment. The roles are based in Zurich and you will be part of a wider HR Services and Digital HR function responsible for HR technologies, operations, and analytics.
YOUR CHALLENGE
- Design, develop, and maintain end-to-end analytics workflows — from data extraction and transformation to visualization and insight generation
- Develop interactive dashboards and reports using Tableau, ensuring usability and impact for business stakeholders
- Leverage Dataiku as a core platform for data preparation, automation, collaboration, and model lifecycle management, building scalable data pipelines and models, integrated within enterprise environments
- Partner closely with HR and cross-functional stakeholders (including Finance, Transformation, and Executive Offices) to understand business questions and translate them into analytical solutions
- Ensure data quality, consistency, and governance throughout the analytics value chain
- Apply statistical thinking and exploration analysis techniques to uncover patterns, trends, and recommendations in people data
- Collaborate effectively within the team and across disciplines, sharing knowledge and contributing to continuous improvement
- Demonstrated proficiency with Tableau for creating clear and impactful data visualisations and self-service products
- Hands-on experience with Dataiku or similar data science/workspace platforms (such as Alteryx, Databricks)
- Solid understanding of data modelling, ETL processes, and best practices in data cleaning and validation
- Strong problem-solving ability and comfort working independently on complex datasets
- Excellent interpersonal skills — collaborative, reliable, and proactive in managing tasks and deadlines
- A degree in a quantitative field (Economics, Statistics, Mathematics, Physics, Data / Computer Science, Engineering, Psychology or similar)
- Fluency in English
Is this not quite what you are looking for? Set up a job alert by creating a candidate account here.
Key Skills
Ranked by relevance
tableau
etl
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- Posted
- May 08, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Zurich
- Company
- Julius Baer
Industries
Banking
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Scientist
2026-05-26
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Engineering
View Job Details
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Analista de Automação e IA – Analytics Júnior| Prevenção a Fraudes e Lavagem de dinheiro
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Kafka DevOps Engineer
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