Trainee Marketing, Analytics & AI

Overview

This twelve-month traineeship program offers a transition from graduation to a trusted advisory role at an artificial intelligence scale-up based in Zurich. Participants engage in a structured program focused on the intersection of marketing, analytics, and artificial intelligence, working alongside a team of approximately thirty people to support prominent European brands across sectors such as e-commerce, banking, insurance, energy, and telecommunications.

Who can apply

Individuals at the start of their careers who are eager to assume responsibility and learn rapidly are eligible. Applicants must possess a completed or soon-to-be-completed degree in business, data science, marketing, or a related field, alongside a demonstrated enthusiasm for artificial intelligence and analytics. Fluency in both German and English is mandatory, while proficiency in Italian is considered an advantage. Additional assets include personal artificial intelligence projects, performance marketing internships, or prior experience with Claude, SQL, Python, or business intelligence tools.

What you get

Participants receive an indefinite contract starting on the first day, accompanied by a fixed salary increase and equity in the organization through an employee stock option plan upon completion of the traineeship. The position includes a personal learning budget for certifications, a personal expert buddy, regular development discussions, and the opportunity to work alongside a second trainee. The work arrangement allows for working from home up to three days per week at an office located near the Zurich main station, as well as participation in biannual team strategy trips. Visa sponsorship may be offered for suitable candidates.

Requirements

Trainees are tasked with analyzing cross-channel performance data from platforms such as Google Ads, Meta, TikTok, and Snapchat. Responsibilities include mastering attribution, marketing mix modeling, and incrementality to explain them clearly to clients, as well as preparing, interpreting, and presenting budget optimizations derived from the platform. Participants utilize artificial intelligence tools daily for analysis, reporting, and meeting preparation, identify client needs by challenging assumptions with data, and manage projects intended to advance the team and platform.