Requirements: English
Company: Experteer Italy
Region: Padua , Veneto
About usSafilo is among the most important players in the eyewear market for design, production, and distribution of sunglasses, prescription frames, sports glasses, helmets, and goggles.Among our brands, we boast some historical/timeless brands such as Polaroid and Carrera, and other cutting-edge brands such as Isabel Marant, David Beckham, Etro, Tommy Hilfiger, and Boss.We believe in the centrality of people, the importance of innovation and sustainability, which are not just words but an inclusive path where we are all involved. Creating value through these principles is our goal.Who we are looking forWe are currently seeking a Product Category Data Analyst to be involved in an innovative project of category management based on a digital merchandising approach.Location: Padua.Responsibilities:Data Analysis and Insight Generation, including gathering data requirements and ensuring data integrity and accuracy.Create visually appealing and informative reports, dashboards, and presentations that effectively communicate data-driven insights to stakeholders.Conduct in-depth data analysis to identify trends, patterns, and insights valuable to the Product Brand and Category Team.Interpret and communicate complex data findings to non-technical stakeholders, translating data into actionable recommendations.Present findings regularly to internal directors, explaining implications and potential impacts on business strategies.Collaborate with functions such as IT, marketing, operations, and finance on cross-functional projects.Formalize functional requirements to map business processes and user needs.Formalize technical requirements for IT teams to develop analytical solutions.Qualifications:Degree in economics, management engineering, or statistical disciplines.Preferred: experience in eyewear, preferably as Data Analyst or Controller.Proven experience in developing/managing reports and dashboards, with effective data presentation skills.Solid experience with SQL and data visualization/analytics tools.Fluent in English.Precise, accurate, self-driven, and result-oriented.Proactive, energetic, enthusiastic, with a hands-on approach.Tech-enthusiast, curious, and willing to learn new technologies.Resilient and responsive.What we offer:A work environment based on a solid corporate culture, offering opportunities to collaborate with many professionals and develop skills.Smart work mode enabling a good work-life balance (2 days a week / remote work).#J-18808-Ljbffr