Senior Specialist - Retail Data & Analytics

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.

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.

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.

• Step One

  It starts with you...

  You'll start by submitting your application to a specific role. We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. If you're a good fit to the role, a recruiter will follow up with you directly. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On.

• Step Two

  Interview with a recruiter

  What ignites your spirit? This is where we’ll start getting to know all about you and what makes you tick – and it’s your first chance to get a feel for our culture. Chatting with a member of our talent team, you’ll learn more about On and how we work. We’ll learn about what motivates you and what you could bring to the team.

• Step Three

  Interview with a hiring manager

  Ready to dig into the details? This second interview will be held with your future manager and will focus on the specifics of the job. Together you’ll delve into your unique skills and experiences and how they could be relevant at On. It's also a time to assess how you might feel working side-by-side. Bring any questions you have about the job, the team or anything else you might like to know – this is an open forum.

• Step Four

  The Case Study

  What's your style? This task will help us understand how you think, face a challenge and give insight into your novel ideas. Designed to give everyone their best shot, your case study is based on something you might typically experience on the job. This is your chance to show us what you’ve got. So express yourself. Be you.

• Step Five

  The Experience Day

  Your first taste of the Oniverse. This is a time to meet some of the people you'll be working closest with. In person or virtually, you'll get a feel for the day-to-day at On and the people who make it happen. You'll chat with a few potential teammates - the conversations will be as equally driven by the role and your experience as by our values. We believe how you do things is just as important as what you do.

• Step Six

  The Result

  Are we a good fit? We’ll get together internally to share our feedback and decide if we’re a match. We know that job searching is a big time investment, so it’s not a decision we take lightly. It’s also time for you to reflect on the experience – are we the right place for you? No matter the outcome, we’ll give you meaningful feedback.

Step One:

It starts with you...

You'll start by submitting your application to a specific role.

We try to keep this step as simple as possible. We do get a lot of applications, but we review them all. If you're a good fit to the role, a recruiter will follow up with you directly. If you didn't receive a reply, or were unsuccessful this time around, we encourage you to look for other possible matches at On.