Job Description

:Position TitleConsultant - Digital Mfg AnalyticsFunction/GroupCorporateLocationMumbai, IndiaShift Timing1:30 PM to 10:30 PM ISTRole Reports toManager - SC Advanced AnalyticsRemote/Hybrid/in-OfficeHybridABOUT GENERAL MILLSWe make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and H\xc3\xa4agen-Dazs, we\xe2\x80\x99ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerateus into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check outGeneral Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check outWe advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.JOB OVERVIEWFunction OverviewThe GIC Supply Chain team manages end-to-end operations, encompassing planning, sourcing, manufacturing, logistics, and analytics. They strategically plan to meet market demands, optimize sourcing, ensure efficient production, and oversee the seamless movement of goods from production to delivery. The team employs advanced analytics throughout these processes, fostering adaptability and operational excellence. This collaborative approach ensures a well-coordinated supply chain that aligns with both organizational goals and dynamic market conditions.Purpose of the roleSupply chain analytics group is responsible for delivering the solutions and developing the capabilities which enables better decision-making in supply chain. This team works closely with all supply chain functions (i.e. plan, source, make, deliver and customer service teams), business units and other cross functional partners for developing solutions to drive business value.This team also drives step-change innovation and improvements in business practices by delivering actionable insights through advanced analytics and supply chain expertise.This role is in the Digital Manufacturing analytics team that supports the Manufacturing and Engineering teams by developing advanced analytics solutions to identify and analyze opportunities corresponding to manufacturing performance, HMM, human safety and food safety. The primary responsibilities of this job are to develop innovative solutions by leveraging analytics techniques like descriptive, diagnostic, predictive and prescriptive modeling, statistical analysis and operations research techniques. This is an individual contributor role that includes project lead responsibilities, stakeholder management, project management, coaching and mentoring the analysts in the team.The individual needs to have a strong problem solving mindset. The kinds of problem statements that we get in this role need strong analytical knowledge, understanding the various manufacturing and plant floor problems and developing sustainable solutions for the same. Choosing the right technique for the right problem is critically important. The solution base may range from descriptive, diagnostic, predictive & prescriptive analytics. Hence, and indepth understanding of various analytics methods is necessary and along with an end to end solutioning mindset.KEY ACCOUNTABILITIESRequirement Gathering and Project Management (20% of Time)\xc2\xb7 Understand the business problem\xc2\xb7 Project charter- Business context, Scope, Outcome & success criteria\xc2\xb7 Identify area of the analysis \xe2\x80\x93 Data Science or Operations research model , (using the right technique for the right project)\xc2\xb7 Understand data availability & analytical usage\xc2\xb7 Work with the scrum master to put together the team, project time lines and user storiesAnalytics Models design, development & Improve (40% of Time)\xc2\xb7 Ideating and Executing improvement ideas to drive efficiency & standardization\xc2\xb7 Historical data analysis\xc2\xb7 Descriptive/Diagnostic/Predictive/Prescriptive Model design\xc2\xb7 Effectively review and deploy results to stakeholders using effective visualizations. Working with other data analysts, data scientists and visualization analysts in the team to achieve the same\xc2\xb7 Perform automated testing on the models\xc2\xb7 Support bug fixes/enhancements on existing modelsOutput (20% of Time)\xc2\xb7 Provide actionable insights to the stakeholders using the appropriate tools \xe2\x80\x93 effective presentations, visualizations.\xc2\xb7 Sustain the models by effectively using DevOps/MLOps and necessary documentation\xc2\xb7 Deployment and Sustained support for all the applicationsTraining / Knowledge (20% of Time)\xc2\xb7 Mentor & train team members on data preparation, diagnostics, predictive analytics, R, Python and Manufacturing analytics\xc2\xb7 Process standardization and documentation\xc2\xb7 Working on Individual development plans
MINIMUM QUALIFICATIONS

• Full Time graduation from an accredited university (Mandatory).
• 4 years of related experience
• Demonstrated high analytical mindset to lead and develop new analytical capabilities.
• Demonstrated high stakeholder engagement and ability to lead projects through collaborative efforts.
• High Problem-solving mindset
• Can work independently and take decisions without seeking help from Supervisor.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Analytics Experience \xe2\x80\x93 Descriptive, Diagnostic, Predictive and Prescriptive
• Programming Language \xe2\x80\x93 R, Python, Intermediate SQL
• Tools \xe2\x80\x93 Excel, Tableau/Power BI
• Understanding of Supply Chain/ Manufacturing
• Technical/Process Leadership
• Energizing & Develop People
• Learning Agility
• Problem Solving mindset

PREFERRED QUALIFICATIONS

• Master\xe2\x80\x99s degree
• 5+ years of related experience
• Major Area of Study in any of the below

• Operations Research
• Masters in Analytics
• Mechanical/Industrial/Production Engg
• Statistics
• Experience working on DevOps/MLOps, Git & GCP.

COMPANY OVERVIEWWe exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best \xe2\x80\x94 bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what\xe2\x80\x99s next.

General Mills