Technical Service Data Analyst
Pubblicato il 25-08-2026 - Technogym in Italia
Technogym inspires 70million daily users to train using our innovative & engaging solutions for fitness, sport and health . By promoting the Healthness lifestyle of exercise, a balanced diet, and a positive mental approach, AI Tracking & Longevity, Technogym has rapidly grown into a success story of over 2,800 employees at 16 branches, expanding to more than 150 countries. It has been selected as Official Supplier to 10 editions of the Olympic Games - from Sydney 2000 to Milano Cortina 2026. Suppose you are a team player with strong relationship skills and an international approach, eager to invest your energy in building dreams. Your Role We are searching for a dedicated Technical Service Data Analyst to join our team at Technogym HQ in Cesena (Italy). This is a key role focused on management, monitoring, and in-depth analysis of data related to our Technical Service processes, in close collaboration with our Subsidiaries worldwide. Your impact and contribution in this role will drive service excellence and enhance customer satisfaction through data-driven insights.
Perform in-depth analysis of data and KPIs currently used in the Technical Service area to identify trends, issues, and opportunities for improvement.
Support on-field Kaizen sessions across EU and non-EU Subsidiaries to streamline current processes
Deliver training sessions to colleagues in our Subsidiaries to increase service excellence.
Experience of, or a proven interest in the fitness industry is highly desirable, along with excellent analytical and communication skills, curiosity and creativity
Master's Degree in Engineering, Economics, Statistics, Data Science, or a related field with a strong quantitative component.
~1-2 years of experience in a data-focused role (e.Data Analyst, Business Analyst, or similar) or in a Technical Service/After Sales role with significant exposure to data analysis.
~ Proficiency in using ERP systems and IT Tools (e.Salesforce, Excel, PowerPoint, and ideally data vis