Senior Specialist - Product Quality Intelligence

ON; Zürich; Vor Ort; CHF 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

On is an Equal Opportunity Employer

Zusammenfassung

On is seeking a Senior Specialist in Product Quality Intelligence to transform post-market data into actionable insights that drive product improvements and protect consumer trust. You will unify Warranty, Returns, Feedback, Reviews, and Quality data to provide a single view of product performance for global teams and suppliers.

You will build scalable dashboards, apply AI/text analytics, and present executive-ready insights to influence product and business decisions from our Zurich hub.

Qualifikationen

• 4+ years of experience in Business Intelligence, Product Analytics, or related fields.
• Advanced SQL and strong experience with Power BI, Tableau, Looker, or similar tools.
• Experience working with large, complex datasets and scalable data models.
• Experience applying AI, text analytics, or NLP to consumer data such as feedback, reviews or warranty information.

Aufgaben

• Develop a unified Product Quality Intelligence model by integrating diverse quality data.
• Build scalable dashboards and self-service reporting across markets, products, and suppliers.
• Monitor quality trends and identify emerging defects and consumer pain points.
• Deliver timely insights to enable proactive quality interventions.
• Translate quality data into actionable recommendations for cross-functional teams.

Kenntnisse

SQL

Power BI

Tableau

Looker

AI & text analytics

Jobbeschreibung

Senior Specialist - Product Quality Intelligence

As the Senior Product Quality Intelligence Specialist, you will be responsible for transforming post-market product data into actionable business intelligence that drives product improvements, reduces quality risks, and protects consumer trust.Working across Warranty, Returns, Consumer Feedback, Reviews, Customer Support, and Product Quality data, you will build a unified view of product performance and convert complex data into clear recommendations for Product Creation, Sourcing, Manufacturing, Customer Experience, and Commercial teams.This role does not own policy or governance. Instead, it enables better business decisions by identifying trends, uncovering root causes, measuring the effectiveness of corrective actions, and providing trusted insights across the product lifecycle. This role will report directly to the Warranty CoE Lead.

Your Mission

• Develop a unified Product Quality Intelligence model by integrating Warranty, Returns, Consumer Feedback, Product Reviews, Customer Support, and Product Quality data.
• Build scalable dashboards and self-service reporting that provide a single view of product performance across markets, products, suppliers, factories, and production batches.
• Monitor product health and identify emerging quality trends, recurring defects, and consumer pain points.
• Deliver timely insights that enable proactive quality interventions.
• Apply advanced analytics, AI, and text mining techniques to analyze structured and unstructured product quality data.
• Identify recurring failure modes, fit issues, material defects, and manufacturing deviations.
• Measure product performance throughout the product lifecycle and identify opportunities for continuous improvement in collaboration with the key stakeholders
• Translate quality data into clear, actionable recommendations for Product Creation, Product Quality, Sourcing, Manufacturing, Customer Experience, and Commercial teams.
• Develop early warning dashboards to identify quality risks before they become large-scale customer issues.
• Measure the effectiveness of corrective actions and product improvements.
• Support supplier performance reviews with fact-based quality intelligence.
• Present executive-ready insights that influence product and business decisions.

Your story

• 4+ years of experience in Business Intelligence, Product Analytics, Product Quality Analytics, Consumer Goods, Sportswear, Footwear, Manufacturing, or E-commerce.
• Advanced SQL and strong experience with Power BI, Tableau, Looker, or similar visualization tools.
• Experience working with large, complex datasets and developing scalable data models.
• Experience applying AI, text analytics, or natural language processing to consumer feedback, product reviews, returns, or warranty data.
• Strong analytical thinking with proven experience translating data into business recommendations.
• Excellent communication skills with the ability to influence cross-functional stakeholders through data-driven insights.

About the Team

You’ll join a global team fueled by a culture of relentless discovery. We test and validate our product promises, transforming consumer and athlete feedback, post-market data, and scientific research into market-leading performance. While our creation partners work to make products great, our mission is to prove they're great - safeguarding product integrity, uncovering early trends, and empowering our business with trusted, fact-based insights. Based in Zurich, our team is the ultimate destination for data-driven innovators dedicated to elevating quality and protecting consumer trust across the globe.

Just by the banks of the Limmat you'll find our largest global hub in Zürich West - On Labs - where you can hike up 12 floors through our custom-built spiral trail.

The great thing about our Supply Chain at On is our adaptable, agile structure. We're a passionate team constantly looking for originality, pushing the status quo to keep up with On's growth and strong focus on sustainability.

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.

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.