Senior Specialist - Retail Data & Analytics

Location: Zurich

Apply for this role

A shelving unit of white storage bins with a group of small unpainted human-shaped mannequins standing together on an open shelf in front of a cardboard box.

Retail (office team)

In short

The On mission: to ignite the human spirit through movement. Inspired by athletes and driven by Swiss engineering, we create performance footwear and apparel that is loved by millions of people in over 60 countries. Our Retail experience is a critical embodiment of our Brand. It’s where our community can physically touch, feel and experience the innovation and design that drives us.

We are looking for a Senior Specialist - Retail Data & Analytics. You are the bridge between data and decision-making, a hybrid thinker who is as comfortable writing complex SQL queries as you are presenting insights to senior leaders. We're not just looking for a data analyst; we're looking for someone who can translate ambiguous business questions into clear, actionable data strategies. You'll be the go-to expert for our retail data landscape, responsible for maintaining our current analytics infrastructure while constantly seeking new ways to innovate and embed AI into our workflows. If you thrive on turning data into compelling stories and empowering teams to act with confidence, this role is your perfect fit.

Your Mission

As a Senior Specialist on the Retail Strategy team, you’ll work end-to-end across the analytics cycle — from modeling data in the warehouse and defining KPI frameworks, to building the dashboards and insights that drive decisions across the business. You’ll be deeply embedded in how the team works: collaborative, cross-functional, and increasingly AI-enabled.

Own retail analytics end-to-end — from exploratory analysis to production reporting, including ongoing maintenance and iteration. You’ll be the go-to analytical partner for store performance, merchandising effectiveness, customer intelligence, and geographic expansion across On’s global retail network.
Build dashboards and reporting solutions grounded in detailed analytical frameworks and KPI definitions — creating self-service tools in Looker that give teams the clarity and confidence to act independently on data.
Build and maintain data models in the warehouse, leveraging modern technology and ways of working — including AI-assisted development — to keep our analytical infrastructure scalable, well-governed, and ahead of the curve.
Partner with stakeholders across merchandising, operations, CX, strategy, and leadership to continuously enhance our reporting and analytics — ensuring the work stays relevant, actionable, and tightly connected to the decisions that matter.

Two women in athletic clothing sit on a bench with takeaway coffee cups, smiling and chatting after a workout.

Your story

4+ years of experience in data analytics, comfortable jumping across a variety of topics and types of data. Consumer-facing experience (retail, e-commerce, D2C) is highly desired.
Strong technical foundation — advanced SQL (window functions, CTEs, query optimization) with solid debugging skills. Comfortable working in the warehouse layer — modeling data, defining metrics, and maintaining well-governed analytical assets. Experience with a cloud data warehouse (BigQuery preferred) is expected.
Data visualization and dashboard design — you’ve built dashboard ecosystems, not just individual reports, and can design self-service analytics that scale. - Experience with Looker or Hex is ideal; deep Tableau or Power BI experience with willingness to transition works too. Familiarity with dbt, LookML, or similar tools is a strong plus.
Independent and agile — you can work autonomously, manage competing priorities, and partner with stakeholders across functions. You translate between technical and business language with ease and identify the question behind the question.
Curious and AI-forward — you actively integrate AI into your analytical workflows as a way of working, not just a tool. You’re creative in how you approach problems and always looking for better ways to generate, validate, and communicate insights.

What would set you apart: Experience in sportswear, athletic, or premium retail brands. Hands-on experience with AI-enabled development tools (GitHub Copilot, Claude Code, or similar). Familiarity with dbt and LookML. Experience working in an environment with strict data governance practices (pull requests, code review, version-controlled analytics workflows). A track record of establishing analytics processes or standards that improved how a team operates.

Two women in activewear run outdoors, smiling, surrounded by greenery and other runners.

About the Team

You’ll be joining a small, dynamic, and relatively new team that sits at the heart of On’s youngest and fastest-growing channel: Retail.

Our team is focused on innovation, pushing the boundaries of retail analytics by leveraging new technologies and AI—including developing our own analytical agents. You will be the expert responsible for our dashboards, data models, and the day-to-day analytical heartbeat of the retail business. We value curiosity, creativity, and a proactive mindset. We’re looking for someone who is motivated to learn and eager to make a significant impact in an environment that offers plenty of opportunity for professional growth and creative problem-solving.

Four people work on laptops around a high table in a glass meeting room, while another person walks by outside holding a drink.

Group of people sit and talk at curved concrete benches on a rooftop garden with a city skyline in the background.

What we offer

On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.

Build the better you

What to expect

We want to set everyone up for success, so here’s the lowdown on how we hire. Our process is a two-way street – bringing you into our culture, while helping us learn how you think.

Our full process can last about eight weeks from application to offer, because we care about getting it right. These steps explain how we usually do things.

Before you get started, feel free to consider if you want to work with us. Strange question? Well, we give people a lot of space to navigate their day-to-day and that style isn't for everyone. We want you to be passionate about what you do and be sure this is the right fit. Because when skills and passion combine – it creates that 'Wow' moment.