Product Manager/ Business Analyst

With 200 employees, OpenCommerce Group is a leading technology organization that offers e-commerce products with offices in China, and Hanoi. We are fortunate to have a team that can target vast and vibrant markets, with the benefit of ten years in the eCommerce industry and over one million online sales sector customers around the world. most nations in the world, such as the United States and China. The aim of the OpenCommerce Group is to create a product ecosystem to facilitate and improve e-commerce in general, as well as cross-border commerce in particular, and to serve as a launching pad for entrepreneurs. Starts expands and performs in the online world. We're expanding rapidly, and we're searching for top talent to help us create a global Commerce Community. Join OpenCommerce Group to expand the scope of your work.Position OverviewThis is a full-time hybrid role for a Business Analyst/ Product Manager with experience in POS systems. The role is based in the Hanoi Capital Region with hybrid working time. The Business Analyst/ Product Manager will be responsible for tasks related to business analysis, communication, defining business processes and requirements, and leveraging their POS system experience to drive success in eCommerce operations.DescriptionDefine and manage the product strategy and roadmap for POS solutions, ensuring alignment with business goals and market needs.Manage the end-to-end product lifecycle, from concept and development to launch and continuous improvement.Gather and analyze feedback from customers, competitors, and stakeholders to identify opportunities for innovation and enhancement.Work closely with engineering, design, marketing, and sales teams to deliver high-quality products on time.Develop tools and workflows that support inventory management, payment processing, sales reporting, and overall operational efficiency for users.Create comprehensive product documentation, user guides, and training materials to support internal teams and customers.Use data and key performance indicators (KPIs) to measure product success and make data-driven decisions for improvement.