Job Description
Responsibilities:
• Deliver Demand planning, Forecast numbers on a fixed cadence(Weekly, daily, monthly or half yearly).
• Drive automation to allow for faster and more informed decisions, leading to improved KPIs.
• Focus on standardization and efficient distribution of forecast reports to support integrated planning framework.
• Enable multiple scenarios and simulations for what-if planning and analysis in specific supply chain areas.
• Develop exception report(s) for automatic detection of exceptions to plan, as well as processes to address the exceptions within defined SLAs.
• Possess Business context to understand data sources and navigate through Organization's technological roadmap.
• Utilize data to guide future work, build recommendations, and drive innovation.
• Monitor Forecast accuracy and customer service KPI's (Error, Bias and Lag Analysis).
• Provide deep dive analysis of red and yellow KPIs and facilitate resolution and action plans for the issues.
• Understand End-To-End supply chain network and solve real world problems with regards to Capacity Planning within the network.
Requirements:
• 2-3 years of experience in forecasting, inventory management, demand planning and Supply Planning.
• Skills: SQL, R, Python.
• Prior experience working in and/or supporting Demand planning, Forecasting, Sales and Operations Planning, Inventory management and Storage capacity planning.
• High competency in Microsoft Excel, Microsoft Project, and PowerPoint.
• Dashboard tools such as Microsoft Power BI.
• Strong communication and interpersonal skills.
Preferred Requirements -
• Prior experience working in and/or supporting Forecasting, Sales and Operations Planning, Inventory management and Storage capacity planning.
• Familiarity and experience with programming in a few of the following - Spark, Shell Script, DOMO.
• Knowledge of advanced statistics
• Deliver Demand planning, Forecast numbers on a fixed cadence(Weekly, daily, monthly or half yearly).
• Drive automation to allow for faster and more informed decisions, leading to improved KPIs.
• Focus on standardization and efficient distribution of forecast reports to support integrated planning framework.
• Enable multiple scenarios and simulations for what-if planning and analysis in specific supply chain areas.
• Develop exception report(s) for automatic detection of exceptions to plan, as well as processes to address the exceptions within defined SLAs.
• Possess Business context to understand data sources and navigate through Organization's technological roadmap.
• Utilize data to guide future work, build recommendations, and drive innovation.
• Monitor Forecast accuracy and customer service KPI's (Error, Bias and Lag Analysis).
• Provide deep dive analysis of red and yellow KPIs and facilitate resolution and action plans for the issues.
• Understand End-To-End supply chain network and solve real world problems with regards to Capacity Planning within the network.
Requirements:
• 2-3 years of experience in forecasting, inventory management, demand planning and Supply Planning.
• Skills: SQL, R, Python.
• Prior experience working in and/or supporting Demand planning, Forecasting, Sales and Operations Planning, Inventory management and Storage capacity planning.
• High competency in Microsoft Excel, Microsoft Project, and PowerPoint.
• Dashboard tools such as Microsoft Power BI.
• Strong communication and interpersonal skills.
Preferred Requirements -
• Prior experience working in and/or supporting Forecasting, Sales and Operations Planning, Inventory management and Storage capacity planning.
• Familiarity and experience with programming in a few of the following - Spark, Shell Script, DOMO.
• Knowledge of advanced statistics
💡 Quick Summary
Seeking a career-building opportunity? The Sales and Operations Analyst position is now open for candidates interested in the Counter Sales Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Counter Sales Jobs is a plus.
