Process insights and analytics digitization specialist

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25:year:old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than 6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia:Pacific, China, Europe, Middle East and Africa, and the Americas. At McCormick, we have over a 100:year legacy based on our Power of People principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values. Position Overview Working as a member of the Process Improvement Team under the general supervision of the Process Discipline and Enablement Lead, the role is primarily responsible for data:driven decision:making and process optimization by applying advanced statistical and analytical techniques to process data. Innovate through the application of machine learning, process mining and predictive analytics to unlock opportunities for enhanced efficiency. Transform complex data into actionable insights through visually compelling dashboards, reports, and visualizations. Key Responsibilities: :Apply analytics techniques to identify and implement opportunities for process optimization: Apply statistical and analytical techniques to process data to identify patterns, trends, and anomalies; Apply advanced analytics techniques, such as machine learning and predictive analytics, to identifyopportunities for process optimization; Define and drive the evolution of data analytics strategies; Demonstrate how data analytics impacted process optimization; Deliver process efficiency initiatives such as process mining/automation/improvement as well as leading and supporting process capture efforts. :Create and maintain visually appealing dashboards and reports for effective communication of process insights: Transform complex data into actionable insights through visually compelling dashboards, reports, and visualizations; Create informative and visually appealing dashboards, reports, and data visualizations to communicate process insights to stakeholders; Define visualization. :Collaboration with cross:functional teams with GBS Service OP and D and A / Automation Hub in relation to data availability: Use data to tell the story to influence stakeholders to take data:driven decisions :Champions, partners and Leads Process Discipline Efforts, in collaboration with the wider Process Improvement team and business partners: Advocate and champion process discipline; In collaboration with the broader Process Improvement team, establish a framework to contribute to identifying and addressing opportunities for improvement highlighted from completed data analytics; Provide a global, enterprise and customer:centric mindset; Manage global business networking, connectivity, and relationships. Experience: :At least 3 years of experience in statistical analysis, statistical modeling, and data visualization :Proficiency in data analysis tools and programming languages such as SQL and /or Python or other :3 years of experience with machine learning and predictive analytics techniques Qualifications: :Bachelors degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. :Advanced