7 data analyst jobs found in Zürich

Work location:   Zurich With around 300 employees, we are one of Switzerland's leading software and consulting companies. From the initial vision to fully functional software: we love challenges. We are bbv Software Services AG, a hub of expertise that supports clients with a wide range of services – from app development to innovation workshops. Your passion, your expertise, and your personality – that's what matters to us. Benefit from our respectful and collaborative work environment. Your tasks You ingest, manage, and activate data for agentic AI applications. You design and operate data workflows so they are not only technically sound, but also efficient, reliable, and scalable. Thanks to your strong analytical mindset and structured way of working, you build high-quality data pipelines and prepare datasets that enable powerful AI-driven use cases. This results in solutions with real business value, delivered as reusable data assets and workflows...

Limited to 1 year with option to extend Your tasks Your focus is on the technical design and performance tuning of our data warehouse. You will analyze and optimize our existing data pipelines based on MSSQL. You are responsible for the operation and monitoring of data flows as well as the expansion of monitoring capabilities (peak loads, data accesses, permissions, etc.) and maintain the technical documentation. Your responsibilities include connecting source data and optimizing ETL processes. You enable data usage by connecting and providing APIs. In addition, you will be responsible for implementing CI/CD pipelines, DevOps processes, and data-based tests to ensure data quality. Your responsibilities also include evaluating and implementing data protection-compliant tools, including AI-supported ones, for building, optimizing and monitoring the data warehouse. Your profile Completed higher education in computer science, medical informatics, data...

For over 10 years at Imnoo at Imnoo, we are bridging the gap between applied artificial intelligence and heavy industrial machinery. We aren't just riding the recent AI wave, we have been deeply rooted in machine learning and statistical analysis for 10 years, delivering real, measurable value to a stable, loyal client base of manufacturers. Imnoo is a leading SaaS platform built to analyze CNC parts, automate quoting and planning, and seamlessly connect the cloud with real manufacturers and shop-floor machines. We are looking for a unique hybrid—a CAD AI IoT Engineer / Tinkerer—who thrives at the intersection of software architecture and physical hardware. You won't just be writing code behind a desk; you will be the mastermind connecting our battle-tested algorithms directly to the pulse of the factory floor. If you love reverse-engineering industrial protocols, building edge data pipelines, and parsing complex 3D geometry to automate the business of manufacturing, this...

Note: By applying to this position you will have an opportunity to share your preferred working location from the following:   Mountain View, CA, USA; New York, NY, USA; Zürich, Switzerland . Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. Preferred qualifications: Ability to present to executives with clear communication, with a demonstrated track record of cross-functional stakeholder management and leadership through influence. About the job Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global...

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. Do you aspire to be part of a high performing Analytics and Transformation team within a global Compliance organisation at the forefront of the wealth management industry? In this diverse role you will implement new technologies, manage change initiatives, develop predictive models, and perform financial and economic analysis to increase the efficiency and effectiveness of risk management. Working alongside Risk, Compliance, Analytics and Legal SMEs in highly skilled, fast-paced teams you will drive business value through collaboratively solving complex analytical problems. YOUR CHALLENGE Lead and support data analytics and business intelligence initiatives to success, with focus on Non-Financial Risk (e.g., Anti-Money Laundering (AML),...

About Us comparis.ch is Switzerland's leading comparison platform. For 30 years, we have been comparing rates and services from health insurance companies, insurance providers, banks, and telecommunications companies, among others, and offer the largest Swiss online marketplaces for real estate and cars. With comprehensive comparisons, we create transparency and help our users make the right decisions for themselves. With over 80 million visitors per year, we are one of the most frequently used websites in Switzerland. Nine out of ten people know us as THE independent comparison platform in Switzerland. Are data and artificial intelligence your passion? Do you want to transform complex data analyses into tangible insights and help shape the future of data-driven communication? Then you've come to the right place in our Communications & Research Team! We offer you a key role at the interface between data science and corporate communications. What you will do with us...

The team you will join, Proteus, is building a product that powers the model-based work of our internal sector experts: scientists and domain specialists who understand environmental data deeply but are not software engineers. Your job is to build the tooling they use, mentor them in software practice, and help them own production end-to-end. This is hands-on engineering work with a coaching element. You will write production-quality Python, build and maintain data pipelines, collect requirements from domain experts directly, and help people who are not from a software background ship work they can be proud of. This is not a role where requirements land neatly in a ticket and you implement them in isolation. It is not a heads-down engineering position with no stakeholder interaction. If you prefer a fully defined process and minimal ambiguity, this will not work for you. What you will be working on Design and build Python tooling that sector experts use to implement...