Analyst - SC Analytics - Demand

Key Skills

Analytical and Problem solving, AWS, Azure, Data science techniques, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, Microsoft-Excel, PLSQL, PowerBI, Python Programming, R Programming, SQL, Supply Chain Management, Tableau, Writing

Job Description

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 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.

RESPONSIBILITIES AND DUTIES

• Use automated tools to extract data from primary and secondary sources using SQL/PLSQL
• Use Statistical tools to identify, analyze and interpret patterns and trends in complex data sets that could be helpful for diagnosis and prediction
• Perform descriptive & diagnostics analysis on historical demand & shipment data
• Understand different forecasting models, analyze forecasting outputs, and prepare final analysis reports for the stakeholders to understand the data analysis steps, enabling them to take important decisions based on various facts and trends
• Constantly engage with stakeholders to ensure alignment in forecast numbers
• Coordinate with technical/data science teams to identify process improvement opportunities, validate outputs, propose modification if required

QUALIFICATIONS / REQUIREMENTS

• Minimum of a bachelor’s degree in Operational research, statistics, supply chain and any other relevant field
• 2-3 years of experience in data analysis
• Working knowledge of data visualization software like Tableau/Power BI
• 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 Excel/R/Python/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
• Strong Verbal and written communication