Βασικό

Data Scientist / Analyst – People Data 100% (w/m/d)

Zürich, Zurich, Switzerland Εταιρεία: TN Switzerland Πελάτης / Εργοδότης: CH10 - BJB Bank Julius Baer & Co. Ltd.
Δημοσιεύτηκε: 18.05.2026
Καταληκτική ημερομηνία: 02.07.2026
Αναφορά εργασίας: 6ebaea7927409f32d6838d88a32abfdd

Πληροφορίες εργασίας

Τοποθεσία
Zürich, Zurich, Switzerland
Εταιρεία
TN Switzerland
Πελάτης / Εργοδότης
CH10 - BJB Bank Julius Baer & Co. Ltd.
Αναφορά εργασίας
6ebaea7927409f32d6838d88a32abfdd
Τύπος καταχώρησης
Βασικό
Απαιτείται άδεια εργασίας της ΕΕ
Όχι
Δημοσιεύτηκε
18.05.2026
Καταληκτική ημερομηνία
02.07.2026

Περιγραφή καθηκόντων

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 CHALLENGEDesign, 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 YOUR PROFILEDemonstrated 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 We are looking forward to receiving your full job application through our online application tool.

Δεξιότητες

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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