GIC-Engineer - Engineering Solutions (Engineering Analytics)

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. Job Overview: Supply 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. Responsibilities require the incumbent to possess technical expertise skills to provide engineering analytics consulting to a centralized virtual team as an individual contributor by leveraging data from Manufacturing Execution System, CMM System and ERP systems which will help to improve plant productivity and optimize manufacturing costs by developing process improvement and reliability engineering solutions. This team caters to engineering requirements for all food manufacturing plants (50+) worldwide. Responsibilities: 10% of Time Business Results:

• Provide support to implement, and communicate productivity improvements initiatives corporate wide. .
• Brainstorm with stakeholders on defining the most appropriate technical solution and approach to deliver the solution optimally
• Provide analytical support for the evolution reliability centered maintenance, which will lead to productivity improvement and a reduced maintenance cost/case.
• Understand and leverage reliability metrics, system planning and cost tracking systems 40% of Time Reliability Engineering and Analytics:
• Support in developing statistical models leveraging the data from Manufacturing Execution System, SAP, MAXIMO etc so as to identify insights, trends etc.
• Understand and leverage reliability metrics, system planning and cost tracking systems
• Collaborate with virtual plant and corporate engineering teams for diagnosis, solution design and creating recommendation report
• Participate in developing solutions in reliability modeling- failure analysis, reliability growth analysis, reliability prediction analysis etc- leveraging technical skills from statistical modeling
• Working on developing optimization models in the field of Demand Planning, Production Scheduling, Transportation, Inventory management etc. based on various statistical and mathematical models as cross-functional activities 40% of Time Data Management and Programming:
• Support in data mining activities
• Data cleaning from different systems/ Data sources (SAP BW, Oracle or Access, Maximo etc ) - Data formatting and warehousing – Structuring/ Mapping different data sets
• Leveraging VBA/MS Access/SQL for Automation/Streamlining Reports/Dashboards.
• Learn data management technologies like – HADOOP, Spark etc.
• Working and execution level knowledge in R, Python, Shiny etc. 10% of Time Operations Management:
• Successful: Demonstrate success through margin savings or additional revenue generation as well as commitment to quality and timeliness
• Transparent: Provide ongoing visibility to all stakeholders leveraging process, technology and communication tools
• Document all the processes and solutions Minimum Degree Requirements: Bachelors Preferred Degree Requirements: Masters Preferred Major Area of Study:
• B. Tech and M. Tech in Mechanical/ Electronics /Instrumentation/ Reliability Engineering/Computer Science/ Operation Research, preferably from reputed Institute/University or
• B. Tech in Mechanical/ Electronics/Instrumentation and M. Tech in Reliability Engineering from a reputed University or
• MSC in Statistics/Mathematics from reputed university Required Professional Certifications: Not Applicable Minimum years of related experience required: 0-2 years Preferred years of related experience: 2-3 years Specific Job Experience or Skills Needed: Must Have Statistical Analysis, Statistical Process Control, Regression, Time Series, ML algorithm, etc. Supply chain, Manufacturing domain Hands on experience in R /Python Programming Experience in SQL basics Nice to have Agile project management Dev Ops Visualization software like Tableau Data mining, data warehousing Competencies/Behaviors required for job: Demonstrate Agility
• Leads Innovation: Adapt quickly and respond effectively to change. Explore and share innovative best practices with others. Deliver Results: Assume personal initiative and accountability for results, performance and behaviors. Be comfortable with ambiguity. Engage in cross functional collaboration to identify innovative solutions and optimization. Connect the Best Together: Clearly articulate views in written and verbal discussions. Integrity and Candor: Engenders Trust at all levels and demonstrates unquestionable integrity. Additional Information: This position reports to the Engineering Management group with the Supply Chain Division at GBS India. Hours of operation are 11 AM to 8 PM Mumbai time (Monday to Friday) with the ability to flex hours as the job demands In performing these accountabilities, the incumbent must develop and maintain an effective working relationship with General Mills International employees at all levels across the company locations The Job involves travel to worldwide plants on short term basis depending on business requirements. COMPANY OVERVIEW We 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 — 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’s next.