Supply Chain Data Analyst Leader
2 weeks ago
About Us
General Mills is a leading food company that makes food the world loves. Our iconic brands, such as Cheerios, Pillsbury, and Häagen-Dazs, are enjoyed by millions of people around the globe.
We're committed to making our food in a way that's good for the planet and our communities. Our values are baked into our legacy and continue to drive us forward as an innovative force for good.
In India, we have a 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.
We employ over 1800 professionals across various functions, including Supply Chain, Digital & Technology, Innovation, Technology & Quality, Consumer and Market Intelligence, Sales Strategy & Intelligence, Global Shared Services, Finance Shared Services, and Human Resources Shared Services.
We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.
Job Overview
The 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.
This role is responsible for delivering analytical solutions to the business challenges of the operating units and managing a team of approximately 10 individuals. Key responsibilities include collaborating closely with the US Advanced Analytics team and operating unit stakeholders, monitoring and developing optimization and simulation models, and creating data visualization tools for the operating units.
The individual in this role must effectively manage the team, ensuring optimal resource allocation for projects and maintaining high team engagement to achieve the team's key priorities and deliverables.
Requirements
- End to End Supply Chain Knowledge
- Critical thinking with strong analytical and problem-solving skills
- Ability to formulate mathematical model & techniques
- Either of :
- Technical know- how of optimization – Linear/Integer/MILP programming
- Technical know- how of Statistics – Distributions/ Hypothesis Testing/ Measures of Central tendency/ Regression/ Risk Analysis
- 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:
- Deliver outstanding results – Agile and self-driven individual to learn/adapt the analytics ways of working. Highly accountable to complete deliverable in a timely and effective manner. Proactive communication about any roadblock and recommend ideas and input to help team achieve greater result.
- 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.
Minimum Qualifications
- 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
- Required Professional Certifications: APICS, CSCP, CPIM Analytics, Six Sigma, SC Macro Masters or similar accreditation
- Preferred Institute- IITs/NITs/ Tier 1 or 2 MBA Colleges/reputed University
Salary Range: ₹25,00,000 - ₹40,00,000 per annum
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