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In short

The world’s fastest-growing running brand is seeking a Data Product Owner to join the fast-paced Commercial Analytics team. Our mission is to partner with our business, data engineering and analyst teams to capture and understand the business needs and translate these into deliverable data products for the data engineers. You will have a critical role working with our stakeholders to represent the data product vision and voice the interest of the Commercial Data team. You will be a passionate advocate for your stakeholders, driving deliverables to completion.

This is a brand new role in our function, so you would have a great opportunity to make a major impact. This role can be based from either our Berlin or Zurich offices, we operate a hybrid working model.

Your Mission

  • As a Product Owner for Data Products, you will take ownership for the data workstream within specific projects to ensure our Data strategy is understood, implemented and aligned with the data needs of the respective project.

  • Oversee the implementation of commercial data products from translating stakeholder needs into clear and concise user stories, gathering feature requests and prioritizing tasks to hand-over and end-user training (ETL pipelines, data models, dashboards, Looker Explores)

  • Act as a competent contact person for data questions and solve problems in coordination with the respective stakeholders for commercial data product-related topics

  • Identify relevant stakeholders, data owners, data stewards and other data experts necessary to run the project and ensure an end-to-end view beyond the Commercial Analytics domain in all data artefacts and underlying data infrastructure

  • Represent the product backlog and act as an interface between data engineering, the business teams, the central platform team and other internal stakeholders

  • Help us build, maintain and grow our tools and processes and own the documentation in our Commercial Analytics domain to ensure high impact on business outcomes

Group of girls smiling
  • Man and woman sat at desks talking
  • Open planned office with men and women sat on a a large curved sofa
  • Group of runners talking outside the office
  • A team of people sat on the steps with a view of mountains outside the office.
  • Two women smiling at each other in a meeting room with large curved windows
  • A group of people sat around a table looking at large design papers
  • 3 men sat around with laptops smiling at each other
  • a large group of runners holding an On flag smiling at the camera
  • Man and woman sat at desks talking
  • Open planned office with men and women sat on a a large curved sofa
  • Group of runners talking outside the office
  • A team of people sat on the steps with a view of mountains outside the office.
  • Two women smiling at each other in a meeting room with large curved windows
  • A group of people sat around a table looking at large design papers
  • 3 men sat around with laptops smiling at each other
  • a large group of runners holding an On flag smiling at the camera
  • Man and woman sat at desks talking
  • Open planned office with men and women sat on a a large curved sofa
  • Group of runners talking outside the office
  • A team of people sat on the steps with a view of mountains outside the office.
  • Two women smiling at each other in a meeting room with large curved windows
  • A group of people sat around a table looking at large design papers
  • 3 men sat around with laptops smiling at each other
  • a large group of runners holding an On flag smiling at the camera

Your story

  • You have 4+ years of experience in a data role (Data Product Owner, Analytics Engineer, Data Analyst or similar role), or a proven track record of managing and delivering digital products

  • You possess interdisciplinary, systemic, end-to-end thinking and analytical skills

  • You have experience using JIRA, Asana, Confluence or other user story and task management tool for requirements capturing

  • You have a strong sense of ownership and experience working with agile methodologies

  • You are comfortable managing multiple concurrent tasks and have the capacity and willingness to completely own the lifecycle with minimal oversight. You have a flair for detail and the translation of data concepts to a wide audience

  • You understand the basics of data warehousing, data modeling and ETL concepts,experience with data engineering projects is a plus

  • Enthusiastic about innovating, excited to continuously learn and curious to understand existing and new technology trends in the data space

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About the Team

The Commercial Analytics and Consumer Insights team’s goal is to empower On with the strategic insights that drive decision making. We’re a group of curious, creative and passionate people coming together to unveil valuable business insights from all angles to support a growing and evolving business. Whether it’s predicting consumer behavior, analyzing market trends, building ETL pipelines, modeling onsite activity or measuring product performance — we’re On it. This group of all-star data engineers, data scientists and data analysts are committed to understanding the what, why, and how in the numbers to deliver actionable findings to the rest of the Oniverse.

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Team

Team

People walking down a street in Yokohama.

Big ideas don’t just happen and one person can’t make every decision. That’s where empowerment comes in – in Ecom, we’ve mastered teamwork so we stay agile and authentic, making big decisions together to help those big ideas flow freely.

Learn about our Spirits
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Vivek

Head of Engineering, Zürich & Berlin

We’re closely connected to the whole business. Every day, we’re making quick decisions to improve the customer experience. Because these live changes impact the whole business, we deeply respect individual opinion and what others think about the end customer experience.
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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.