Responsibilities In partnership with business users identify continuous business improvement opportunities Identify business improvement opportunities in partnership with business users by developing appropriate Use Cases Support Project-/Product Owner to evaluate and Quantify above mentioned Use Cases by performing a Cost-Benefit analysis Assist functional teams to Streamline Business Processes Develop Data & Analytics Solutions Lead and implement cross-functional data & visualisation projects Liaise between business functions and technical teams to deliver analytics solutions Unpack and document business requirements Agree project scope and compile functional specifications Review and analyse technical specification documents Prepare the project plan by engaging all relevant parties Plan for project-related hardware and software requirements by liaising on an on- going basis with the infrastructure team and external software supplier(s) Adhere to ways of working & governance Ensure effective communication Serve as a liaison between the business and technical consultants Provide post-implementation guidance and support to all end-users Develop specialist knowledge of the relevant technologies to support Requirements Bachelor’s Degree in Engineering, Computer Science, Information Systems, Mathematics / Statistics Post graduate degree would be advantageous Minimum of 3-5 years’ data & analytics experience Success in managing data & analytics projects that have added value Experience in food manufacturing, consumer and supply chain industries Knowledge Business principles Business process Systems Development Life Cycle Analytics problem methodologies Database/warehouse design principles Data modelling AI, Machine Learning & RPA technologies Skills Data & Analytics Planning and organisation Project management Verbal and written communication Problem solving Analytical thinking #J-18808-Ljbffr