Lead Analytics Engineer

Job description

Tasks

• Taking ownership of analytics initiatives throughout their lifecycle: scoping, design, implementation and delivery
• Design and maintain data pipelines and models that enable analytics, reporting and advanced AI-driven use cases
• Collaborate with business partners and technical colleagues to translate problems into scalable, data-driven solutions
• Exploring and prototyping agile AI workflows that go beyond traditional chatbot concepts, using LLMs to automate meaningful, task-oriented processes
• Technical leadership, mentoring and thought partnership in solving problems on projects

Requirements

• Degree in computer science, engineering, mathematics or equivalent professional experience
• 7+ years of experience working across the entire data lifecycle: data engineering, analytics, architecture, AI/ML and deployment
• Strong skills in SQL, Python and modern data platforms (e.g. dbt, Snowflake, Tableau/PowerBI, Kafka)
• Experience with large language models (LLMs) and ideally practical experience with agile workflows (not just chatbots)
• A broad technical toolkit with a curiosity for exploring new approaches and technologies
• A collaborative, pragmatic mindset and the ability to simplify complexity for diverse target groups
• Strong communication skills in English, both written and verbal

We offer

• Top location in Zurich with collaboration rooms (including roof terraces) and free lunch
• Friendly, diverse team in an open office with modern equipment
• All the latest technologies to support you in your work and develop your skills
• Agile environment in our way of thinking, our way of working and our trust in each other
• Flat hierarchy with collaboration at all levels
• Campus feeling and collaborative spirit