On Senior Specialist - Product Analytics

h3In Short /h3 pAs a Senior Specialist - Product Analytics at On, you will partner closely with our product teams to help them make grounded, data-informed decisions. Working directly with colleagues across Innovation, Strategy, Design, Development and Sourcing, you will take ambiguous business questions, dig into complex operational and product data, and deliver clear, practical analysis that guides our product and strategic priorities. /p h3Your Mission /h3 ul libPartner with Key Stakeholders /b: Work directly with product managers, strategy leads, and operations teams across Design, Development, and Sourcing to identify critical business questions and frame analytical priorities. /li libStructure Ambiguous Problems /b: Take open-ended challenges and break them down into structured, repeatable analytical frameworks. /li libLead Analysis End-to-End /b: Write clean, efficient queries, pull and clean datasets, and model operational metrics to provide straightforward answers and clear recommendations. /li libBuild Maintain Core BI Tools /b: Design, build, and maintain self-serve dashboards and reports (using tools like Hex or Looker) that stakeholders can rely on for day-to-day decisions. /li libChampion AI-Driven Analytics /b: Proactively explore, pilot, and integrate AI and LLM-powered workflows to automate recurring analysis, synthesize unstructured product data, and enable intuitive, self-serve data exploration for non-technical stakeholders. /li libCommunicate Clearly /b: Present findings clearly in concise summaries, visual dashboards, and discussion sessions, ensuring non-technical partners understand the takeaways and next steps. /li libStrengthen Data Practices /b: Collaborate with the Operational Excellence team to improve metric definitions, data quality, and reporting efficiency across the product organization. /li /ul h3Your Story /h3 ul libExperience /b: 5+ years of hands-on experience in product analytics, business intelligence, or operational analytics, preferably within retail, consumer goods, apparel/footwear, or tech. /li libEducation /b: Degree in Business Analytics, Economics, Data Science, Statistics, Engineering, or a related field. /li libTechnical Skills /b ul liStrong SQL skills for writing efficient queries and modeling relational datasets. /li liPractical proficiency in Python (e.g., pandas) or R for exploratory data analysis, data manipulation, and automation. /li liHands-on familiarity with AI-assisted analytics, LLM tools/APIs, or AI features within modern data platforms to accelerate query generation, data prep, and insight synthesis. /li liHands-on experience developing dashboards and reports in modern BI platforms (e.g., Hex, Looker, Tableau, or Power BI). /li liAdvanced spreadsheet modeling skills (Excel / Google Sheets). /li /ul /li libAnalytical Problem-Solving /b: A proven ability to take ambiguous business questions, structure them logically, and produce reliable, data-backed recommendations. /li libStakeholder Management /b: Comfortable presenting data to cross-functional leads and guiding discussions. /li /ul h3Meet the Team /h3 pYou will be part of the Operational Excellence team: an entrepreneurial, dynamic and talented group focused on evolving the product organization (innovation, product strategy, design, development, sourcing) to new levels of effectiveness and performance. /p h3What We Offer /h3 pOn is a place that is centred 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. /p pOn 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. /p