Temel
Data Scientist / Analyst – People Data 100% (w/m/d)
Yayınlandı: 18.05.2026
Kapanış tarihi: 02.07.2026
İş referansı: 6ebaea7927409f32d6838d88a32abfdd
İş bilgileri
Konum
Zürich, Zurich, Switzerland
Şirket
TN Switzerland
Müşteri / İşveren
CH10 - BJB Bank Julius Baer & Co. Ltd.
İş referansı
6ebaea7927409f32d6838d88a32abfdd
Listeleme türü
Temel
AB çalışma izni zorunlu
Hayır
Yayınlandı
18.05.2026
Kapanış tarihi
02.07.2026
İş tanımı
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.
Yetenekler
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