Sr Analyst - Demand Analytics

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 well-coordinated supply chain that aligns with both organizational goals and dynamic market conditions.

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Purpose of the role

The purpose of the job is to support Demand planning function by providing Innovative solutions and help implementing it to optimize/Standardize processes which will bring improvement to overall forecasting approach resulting in better accuracy. Explore and take up opportunities which supports the demand planning efforts by creating and executing industry standard approaches.

Key Accountabilities

• Thorough understanding of different forecasting models (time series and causal modal), analyze forecasting outputs, and prepare final analysis of change reports for the stakeholders to understand the data analysis steps, enabling them to take important decisions based on various facts and insights.

• Proficiency to Identify, analyze and interpret patterns and trends through descriptive analysis in complex data sets that could be helpful for diagnosis and prediction.

• Analyzing the different performance metrics (e.g. Accuracy, Bias etc.) and identifying improvement opportunities through RCA to achieve business targets.

• Use automated tools (like Tableau Dashboards, GCP etc.) to extract data from primary and secondary sources using SQL/PLSQL

• Constantly engage with stakeholders to ensure alignment in demand forecast.

• Lead and Coordinate with technical/data science teams to identify process improvement opportunities, validate outputs, propose modification if required.

• Mentoring, training, and onboarding of new joiners and interns.

• Leading ad hoc projects independently, taking initiatives, identifying process gaps and providing solutions.

• Minimum of a bachelor’s degree in Operational research, statistics, supply chain and any other relevant field
• 3-4 years of experience in data analysis
• Working knowledge of data visualization software like Tableau/Power BI/Looker
• Basic knowledge of supply chain/CPG/Retail
• Familiar with forecasting techniques like Time series models (Exponential smoothing/ARIMA) and other ML techniques
• Proficiency in statistics and statistical tool like R/ Python/Excel/SQL to be used for data set analysis.
• Basic knowledge of cloud environment like GCP/AWS/AZURE
• Having a systematic and logical approach to problem-solving
• Stakeholder management, project management, Strong verbal and written communication and presentation skills.
• Strong analytical, problem solving and business acumen.

• Minimum Degree Requirements: Bachelors
• Preferred Degree Requirements: Masters
• Preferred Major Area of Study: Applied Mathematics, Statistics, Industrial Engineering, Supply Chain
• Preferred Professional Certifications: GCP certification
• Minimum years of related experience required: 3
• Preferred years of related experience: 4 - 6