Úta Analytics Manager

Overview Who we are: Samsonite is the worldwide leader in superior travel bags, luggage, and accessories combining notable style with the latest design technology and the utmost attention to quality and durability. For more than 100 years, Samsonite has leveraged its rich heritage to create unparalleled products that fulfill the travel lifestyle needs of conscious movers everywhere. With a portfolio of brands including Samsonite, Tumi, American Tourister, High Sierra, Gregory, eBags, Hartmann, and Lipault Paris, our products are sold in over 100 countries in North America, Asia, Europe and Latin America through our company-operated retail store, websites and a variety of retail partners. Qualifications We're excited if you have: 3+ years of working with big data and building out requisite logic Analytical skills and strong organizational abilities Knowledge of SAP, Power BI, Alteryx, Tableau The ability to communicate effectively is essential Strong logical reasoning skills and business intelligence Proficient with data discovery / statistical analysis tools BS/BA in a related field required Why you'll love working here: Our employees matter. As a people-focused business, we work hard to provide meaningful rewards and development opportunities for our employees, recognizing performance, and creating a supportive working environment for them, wherever they are based. Vibrant culture. We are committed to a diverse and rich culture, welcoming people from all walks of life. Our long-standing commitment to diversity and inclusion empowers us to bring our authentic selves and unique differences to work every day. Socially responsible. We want to minimize our products' impact on the environment and help create positive journeys worldwide. We do this by creating the best products using the most sustainable and innovative materials, methods, and models. What we value: At Samsonite, we do more than create the bags that move with our consumer, we inspire and celebrate the moments that move them. We believe we have a responsibility to the world in how we operate, the products we sell, the communities where we live and work, and how we treat the people we employ. We're as diverse as travel itself, and like travel, your journey with Samsonite presents the opportunity to be a part of something bigger and explore your passions. This is why we offer various paths for professionals and celebrate the knowledge and skills they bring to our team. We are committed to a respectful workplace that allows our team members to bring their best selves to the workplace daily. Samsonite is an equal opportunity employer and is committed to promoting and maintaining a work environment in which all applicants, associates, customers, and other individuals are treated with dignity and respect free from unlawful harassment, discrimination, or retaliation. Responsibilities Your role at Samsonite: The Data Analytics Manager is primarily responsible for the development and execution of the global brand team’s data analytics strategy/data analytics program. In addition, they will support the Global Brand team members in using business data and statistical methods to provide insight into business performance and suggest areas and ways of improving operations. The Data Analytics Manager will need to navigate complex concepts/data sources, manage big data, and anticipate upcoming challenges within the data space to provide a viable solution. They will also work closely with the Global Brand team and business leaders across the company to identify and implement high-quality, data-driven decisions. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for the company. You will work on-site four days per week with the opportunity to work remotely one day. Support Global Brand team members in optimizing data intake, validation, mining, and engineering, as well as modeling, visualization, and communication of deliverables. Implement tools and strategies to translate raw data into valuable business insights through data visualization. Build, develop and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics that support the identification of critical business decisions. Design and implement processes for complex, large-scale datasets for data mining and predictive modeling. Organize and drive successful completion of data insight initiatives through effective project management and collaboration with stakeholders. Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Keep up on data industry trends and the availability of upgrades to critical systems (i.e., Power BI, Alteryx, Tableau, etc.) and advise organizational leaders when changes/upgrades need to be made. Effectively communicate results and business impacts of insight initiatives to Senior management and other stakeholders within the Company.