Work closely with functional leads and local product counter-parts on the details of business context and impact evaluation. Deliver clear and comprehensive Business Requirement Documents (BRDs) with simplified product solution for business alignment and engineers' reference
Prepare User Acceptance Test (UAT) scenarios, coordinate the testing and live releases
Drive successful solution implementation and adoption with internal training, deployment planning, day-to-day support, feedback gathering, etc
Own the product lifecycle process - analysing data to gather insights on product adoption/improvements, tracking KPIs, and proposing further iterations
Support project management task when necessary
Requirements :
Bachelor Degree in Computer Science, Information Systems, Business (Operations Management), Supply Chain Management, Mathematics, Industrial System Engineering or other Engineering degrees is preferred but not required
Cross-disciplinary understanding of business functions (such as logistics, warehouse, marketplace operations, accounting, finance) and/or information systems (such as information exchange, data structure) is a plus
Strong data analytical skills with proficiency in tools like SQL, Python is a plus
Logical thinker and problem-solver. Must be an independent self-starter and a quick learner, with the diligence to follow-through on complex projects
Able to work in a dynamic environment, effectively managing multiple and competing priorities simultaneously
About the Team : At Reg SPX, we are committed to providing the best last mile customer experience and ensuring that millions of parcels are delivered safely and efficiently to our customers' doorsteps. We consistently raise the bar in customer experience by utilising lean thinking and creative problem-solving to drive improvement initiatives and innovative delivery solutions. We are looking for data-driven problem-solvers to be part of our regional team. Data is core to our work - we work with large data sets to draw insights into delivery performance, optimise network planning, and deep-dive into pain points to debottleneck our scaling efforts.