Location
Powai, Mumbai | India
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.
Position Title: Sr. Analyst – SC Analytics
Function/Group: Logistics
Country: India
Location: Mumbai
Job Band & Pay Grade: Experienced Professional 50
Job Type:Full time
Role Reports to: Assistant Manager
Geographical Scope of the Role - Global
Percentage of travel required: 5%
Shift Timing: 1:30 pm to 10:30 pm
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.
The Senior Analyst role involves building, maintaining & executing optimization/simulation/predictive/descriptive models, which will help to identify, analyze, and implement opportunities in the areas of capacity & supply planning, manufacturing & network optimization, service predictions & SNOP scenarios by showcasing high level of collaboration with Global business teams and Analytics consultants.
Job Responsibilities
15% of Time
Requirement Gathering & Data Collection:
- Understand Project charter- Business context, Scope, Outcome & success criteria.
- Collaborate with the Global & India Supply Chain partners to gather the required information and conduct the data validations & analysis.
- Proactively analyze the current set of the data based on facts and root cause analysis.
- Perform data massaging – Outlier detection and handle missing data etc. and share key findings with the team lead.
40% of Time
Model building & Scenario Evaluation
- Solve business problems in the areas of Supply Chain by developing different modeling approaches/techniques using Descriptive/Prescriptive/Predictive analytics and recommend the best approach.
- Develop a detailed solution design/architecture or re-engineer an existing solution design.
- Build/Refresh the models periodically and provide recommendations to business teams.
- Run & analyze what-if scenarios by leveraging advanced tools and provide insights to the business team.
20% of Time
Model result analysis & presentation
- Detailed and quantitative analysis of the model output and clearly articulate findings and recommendations
- Synthesize large data sets/model results into usable insights and business recommendations
- Build presentation and communicate the results effectively with the broad audience of clients/stakeholders/cross-functional teams.
- Provides analytics support during the implementation and transition phase.
15% of Time
Other Responsibilities:
Improving:
- Participate in brainstorming sessions on new capabilities development/ideation sessions
- Work on enhancements in current capabilities/process improvements
- Support new technologies by participating in testing sessions & training sessions
Sustaining:
- Develop and design governance framework
- Ensure strong and clear process/training/project documentation and controls are in force
- Creating assumption documents for client meetings/methodology documents
- Participating in weekly directional meetings, team meetings & townhalls
10% of Time
Self-Development:
- Upskilling through internal & external training/courses, in behavioral, functional, analytical & technology areas
- Participating in innovation challenges, Hackathon competitions, Knowledge sharing sessions
- Participating in training sessions at the team/departmental level
- Participating in internal case studies to acquire business acumen
Desired Profile
Education
Minimum Degree Requirements:Bachelors
Preferred Degree Requirements: Masters (M. Tech/MBA/MSC)
Preferred Major Area of Study: Supply Chain / Operations Research / Industrial Engineering / Statistics / Mathematics / Mechanical Engineering / Computer Engineering / Electronics Engineering / Instrumentation Engineering/ Production Engineering
Preferred Professional Certifications: APICS, CSCP, CPIM Analytics, Six Sigma, SC Macro Masters or similar accreditation[MK1]
Preferred Institutes : IITs/NITs/ Tier 1 or 2 MBA Colleges/reputed University
Experience
Minimum years of related experience required: 2-3
Preferred years of related experience: 4+ years of experience in core Supply Chain
Specific Job Experience or Skills Needed
· Critical thinking with strong analytical and problem-solving skills
· Ability to formulate mathematical model & techniques
· Either of
o Technical know- how of optimization – Linear/Integer/MILP programming
o Technical know- how of Statistics – Distributions/ Hypothesis Testing/ Measures of Central tendency/ Regression/ Risk Analysis
o Technical know- how of prediction – Machine learning, various types of regression, classification and clustering techniques, time series, tree-based prediction models
· Technical know-how of Simulation – Discrete event simulation/Monte Carlo
· Understand business problems and convert into analytical problem statements
· Experience with model building in either of these tools Coupa Supply Chain Guru, R/Python, VBA/Macros, SQL, Solvers like CPLEX/Gurobi, etc., Simulation tools like @risk, MATLAB, etc., Machine Learning techniques/models
Effective & Strong Communication Skills
Storytelling with effective presentation
Stakeholder Management
Innovative Mindset & Learning Mindset
Nice to have experience in front end application development - Rest APIs, Dash, R shiny
Competencies/Behaviors required for job
· Interpersonal Effectiveness – Relates well with stakeholders, colleagues & team members. Maintains a positive, supportive & appreciative attitude. Actively listens to others & demonstrates an understanding of their point of view. Clearly articulates views in written & verbal discussions.
· Problem Solving / Analytical skills – Ability to collect and analyze data quickly and efficiently. Can identify issues and provide ideas/solutions for resolution.
· Leads Innovation – Ability and confidence to identify and recommend creative solutions. Identifies both opportunities and needs for change. Adapts quickly and responds effectively to change. Identifies issues or problems and provides a respective solution. Explores and shares innovative best practices with others.
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 — 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.
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