Internship in Analytics Engineering (80-100%)

Publication date:16 December 2025
Workload:80 – 100%
Place of work:Zurich

Job summary

Join SIX as an Analytics Engineering Intern in Zurich, Switzerland!

Tasks

Analyze large transactional data to extract insights and trends.
Explore complex datasets to uncover patterns and anomalies.
Support documentation of data flows and analytical methodologies.

Skills

Degree in Computer Science, Business Engineering, or similar.
Hands-on experience with SQL, Python, and big-data technologies.
Strong interest in Azure cloud-based data platforms.

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About the job

SIX drives the transformation of financial markets.

What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.

Internship in Analytics Engineering (80-100%)

Zurich |up to 40% Home Office | Reference 7529

Are you passionate about data, technology, and driving impactful change? Do you want to be part of a collaborative, agile team that is shaping the future of data and analytics? If so, our Analytics Transformation team is looking for you!

We play a key role in driving technological transformation and aligning strategic initiatives related to data and analytics across the organization. We're seeking a motivated intern who is eager to learn and excited to make a meaningful impact in the financial services sector.

The internship is for a minimum duration of 6 months, with the possibility of an extension. The preferred start date is February 2026.

What You Will Do

Analyze large volumes of transactional data to extract insights, identify trends, and ensure data accuracy.

Explore and investigate complex datasets often getting “lost” in the details in order to uncover patterns and anomalies.

Support documentation of data flows, processes, and analytical methodologies.

Contribute to data quality checks, validation, and troubleshooting activities.

What You Bring

A degree in Computer Science, Business Engineering, Business Informatics, or a related field, combined with a strong passion for data analytics and technology.