Lead Analytics Engineer

Job description

Overview

Tasks

• Take ownership of analytics initiatives across their entire lifecycle: scoping, design, implementation, and delivery.
• Design and maintain data pipelines and models that empower analytics, reporting, and advanced AI-driven use cases.
• Partner with business stakeholders and technical peers to translate problems into scalable, data-first solutions.
• Explore and prototype agentic AI workflows that move beyond traditional chatbot concepts, leveraging LLMs to automate meaningful, task-driven processes.
• Provide technical leadership, mentoring, and thought partnership across our analytics problem-solving as projects demand.

Requirements

• A degree in computer science, engineering, mathematics, or equivalent professional experience.
• 7+ years of experience working across the full 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 hands-on exposure to agentic workflows (not just chatbots).
• A broad technical toolkit, with curiosity to explore new approaches and technologies.
• A collaborative, pragmatic mindset and the ability to simplify complexity for diverse audiences.
• Strong communication skills in English, both written and verbal.

We offer

• Top Zurich location with collaboration spaces (including rooftop terraces) and free lunch.
• Agile environment in how we think, the way we work and our trust for each other.
• Flat hierarchy with collaboration on all levels.
• Campus feeling and collaborative spirit.