Engineer – Engineering Solutions Job Vacancy in General Mills Mumbai, Maharashtra – Updated today

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Full Details :
Company Name : General Mills
Location : Mumbai, Maharashtra
Position :

Job Description : :

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 Description:

Position Title:
Engineer, Engineer Analytics
Function/Group:
Corporate
Country:
India
Location:
Mumbai, India
Recommended Level:
PG45
Job Type:
Full time
Role Reports to:
Assistant Manager- Engineering Analytics
Geographical Scope:
Global
Percentage of travel required:
10-20 % time
Job Overview (Briefly describe primary function/purpose of job in no more than 2-3 sentences.)
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.
Main Responsibilities (List the primary duties/responsibilities of the role and the approximate percentage of time spent on overreach area during the course of a year. Percentages should add up to 100%. Do not list any duties or responsibilities that require less than 5% of the role’s time.)
10%
of Time
Business Results:
– Understand Project charter- Business context, Scope, Outcome & success criteriaProvide analytical support which will lead to productivity improvement and a reduced maintenance cost/case.Understand data availability & analytical usage
50%
of Time
Analytical Application development:Developing end to end application using Python (Flask/Dash): UI design and development, model developmentSupport in developing statistical models leveraging the data from Manufacturing Execution System, MAXIMO, Hadoop Data Lake, GCP etc., to identify insights, trends etc.Collaborate with virtual plant and corporate engineering teams for diagnosis, solution design and creating the dashboards/applications
30%
of Time
Data Management and Programming:Support in data mining activitiesData cleaning from different systems/ Data sources (Oracle, Maximo, Hadoop, GCP etc.)
Data formatting and warehousing – Structuring/ Mapping different data sets
Leveraging VBA/ SQL for Automation/Streamlining Reports/Dashboards.
Learn data management technologies like – HADOOP, GCP 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 timelinessTransparent: Provide ongoing visibility to all stakeholders leveraging process, technology and communication toolsDocument all the processes and solutionsCommunicate effectively with broad audience i.e., client/stakeholders/cross functional team
Education and Experience
Minimum Degree Requirements:
Bachelors
Preferred Degree Requirements:
Masters
Preferred Major Area of Study:
B. Tech/M. Tech in Computer Science/ Information Technology / Reliability Engineering, preferably from reputed Institute/University
orB. Tech/M. Tech in Mechanical/Operation Research /Reliability Engineering from a reputed University
orMSC in Statistics/Mathematics from reputed university
Required Professional Certifications:
Not Applicable
Preferred Professional Certifications:
Minimum years of related experience required:
1-2 years
Preferred years of related experience:
2-3 years
Specific Job Experience or Skills Needed
Example:Demonstrated inventory management, customer service, and production forecasting skillsCan prioritize and complete multiple tasks on tight deadlines
Must HaveHands on experience in Python Programming using Dash/FlaskApplication UI development experienceBasic data modelling in Python (Data Science)Experience in SQL basicsNice to haveStatistical Analysis, Statistical Process Control, Regression, Time Series, ML algorithm, etc.Supply chain, Manufacturing domainAgile project managementDev OpsVisualization software like Tableau, Looker

Competencies/Behaviors required for job
Click here to view full functional competencies
Example:Good team player with positive contribution towards holistic development work
– Demonstrate Agility – Adapt quickly and respond effectively to change.Leads Innovation: 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 (Please describe as clearly and concisely as possible any additional information that would be important to understand fully the role, responsibilities, nature, and scope of the job.)
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 demandsIn 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
Hiring Manager
Assistant Manager, Engineering Analytics, India
Date
Jan 10, 2022
Hiring Manager (EMT)
Khushboo
Date
Reviewed by – HR Contact
Date

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