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Technical Service Data Analyst

Pubblicato il 12-08-2026 - Technogym in Bologna

Our CompanyTechnogym inspires 70 million daily users to train using our innovative & engaging solutions for fitness, sport and health.

Invii la sua candidatura dopo aver letto i requisiti di competenza e qualifica per questa posizione, riportati di seguito.

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.

In that case, you have the right spirit to join Technogym because you have the IMBESTIO You will naturally fit our culture if you work out and live a healthy lifestyle, are proactive, determined, and are digitally savvy.





Move with us for a better worldYour RoleWe 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.Your ImpactPerform 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 processesDevelop and maintain dashboards and reports to provide actionable insights to stakeholders at both HQ and subsidiary level.Deliver training sessions to colleagues in our Subsidiaries to increase service excellence.Contribute to defining and implementing performance i

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