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. The team employs advanced analytics throughout these processes, fostering adaptability and operational excellence. This collaborative approach ensures a we'll-coordinated supply chain that aligns with both organizational goals and dynamic market conditions. Link
Purpose of the role
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 (ie, 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 role involves building, maintaining, and executing optimization and simulation models to help identify, analyze, and implement opportunities in the areas of manufacturing network design and optimization, supply network planning and realignment by incorporating supply chain costs, manufacturing complexity, inventory optimization and capacity. The Sr Analyst supports the Supply Planning teams in identifying opportunities for manufacturing & distribution network and provides least cost sourcing and distribution options. Works on strategic projects and new capability development and enhancement initiatives.
Key Accountabilities
15% - 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% 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% 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% 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% 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
Specific Job Experience or Skills Needed
End to End Supply Chain Knowledge
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
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 we'll 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:
Preferred Professional Certifications: APICS, CSCP, CPIM Analytics, Six Sigma, SC Macro Masters or similar accreditation
Preferred Institutes : IITs/NITs/ Tier 1 or 2 MBA Colleges/reputed University
Preferred Qualifications
- Master s degree
- 3 years of related experience
- Major Area of Study in Industrial Engineering or Supply Chain
- Professional Certifications: CSCMP, APICS
