6 beste Stellen als data science machine learning python in zürich, zh – aktuell auf Personalsuche

Internship - Analytics Engineer
Sika —Baar, ZG
- 100%
- Informatik
- Datenanalyse
- Englisch
Direkt bewerben
Senior Specialist - Global Digital Planning & Strategy
On AG —Zürich, ZH
- Management-Erfahrung
- Englisch
- SQL
(Senior) KI-Berater (w/m/d), 80-100%
emineo AG —Baar, ZG
- Englisch
- SQL
- Führungserfahrung
Sr. DevOps Engineer
QSC, LLC —Zürich, ZH
- 100%
- Management-Erfahrung
- C++
- Bachelor
Mid / Senior SLAM Engineer
Gravis Robotics —Zürich, ZH
- 100%
- Doktorat
- Englisch
- Master
Senior Software Engineer - Distributed Systems
Decentriq —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Bachelor
Direkt bewerben

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Internship - Analytics Engineer

Sika -
Baar, ZG

Direkt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

Informatik
Power BI
Datenanalyse
Englisch
Master
SQL
Analysefähigkeit
Bachelor
Python

Vollständige Stellenbeschreibung

Company Description

Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protection in the building sector and industry. Sika has subsidiaries in 103 countries around the world, produces in over 400 factories, and develops innovative technologies for customers worldwide. In doing so, it plays a crucial role in enabling the transformation of the construction and transportation industries toward greater environmental compatibility. Approximately 33,000 employees generated CHF 11.20 billion in sales in 2025.

Job Description

Design, implementation, and maintenance of ETL processes to ensure a structured and reliable data foundation
Automation and optimization of data processes and recurring workflows (e.g. using Python and SQL)
Close collaboration with business stakeholders to translate business requirements into data-driven solutions
Support for Finance and Controlling in data analysis, reporting, and performance tracking
Development and continuous improvement of BI dashboards as well as scalable reporting solutions
Identification and implementation of optimization potentials in existing processes and systems
Use of modern technologies (including AI tools) to increase efficiency and further develop analyses and processes

Qualifications

Completed Bachelor’s or Master’s degree in Data Science, Business Analytics, Computer Science, or a related field
Strong knowledge of data analysis, data modeling, and data management
Hands-on experience with SQL and Python for data processing and automation
Experience with BI tools (e.g. Power BI)
Solid knowledge of developing and using ETL processes and data pipelines
Initial experience with the use of AI tools for data analysis or process automation is an advantage
Interest in Finance and Controlling processes (e.g. FP&A, reporting, planning)
Strong analytical mindset combined with a structured and precise working approach
Team player with the ability to collaborate effectively with both technical and business stakeholders
Very good command of English

Additional Information

This role offers opportunities for growth into advanced data engineering positions and exposure to modern data technologies, analytics, and machine learning projects. Data Engineers are encouraged to pursue ongoing training and participate in Sika’s evolving global analytics platform.

We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

Direkt bewerben

Erweiterte Suche

data science machine learning python Jobs in zürich, zh

Internship - Analytics Engineer

Senior Specialist - Global Digital Planning & Strategy

(Senior) KI-Berater (w/m/d), 80-100%

Sr. DevOps Engineer

Mid / Senior SLAM Engineer

Senior Software Engineer - Distributed Systems

Other jobs to consider

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