Demand Planner

Job summary

The role involves working with data to enhance forecasting skills in a dynamic supply chain setting. This analytical position requires writing SQL, generating reports, validating forecasts, and understanding how demand planning influences operational decisions.

Qualifications

• 2–3 years of experience in Demand Planning, Supply Planning, Supply Chain Analytics, or a similar analytical role. Experience in e-commerce, food retail, or FMCG is advantageous, especially with perishable goods.
• Strong technical proficiency in SQL, Excel, and PowerBI (or Tableau); knowledge of Python is a plus.
• Familiarity with forecasting concepts, including bias and accuracy metrics (e.g., MAPE, WAPE).
• Curiosity about forecasting in environments with limited historical data and a willingness to learn new techniques.
• Understanding of demand and supply risks and mitigation strategies.
• Comfortable using project management tools like JIRA/Confluence.
• Good communication skills for presenting data to both technical and non-technical audiences.

Responsibilities

• Manage daily data validation and quality assurance across demand data pipelines, ensuring forecast reliability.
• Develop automated alerts for data quality issues and forecast anomalies.
• Investigate discrepancies between forecasts and actuals, documenting root causes.
• Write and maintain SQL queries for demand data extraction and transformation.
• Assist in developing forecasting models and refining statistical techniques.
• Create and maintain dashboards and automated reports for stakeholders.
• Collaborate with forecast engineers and senior analysts to support scalable data pipelines.
• Utilize AI tools to enhance efficiency in tasks like SQL writing and data summarization.
• Generate and validate daily and weekly demand plans for European markets.
• Monitor trends and promotional impacts, adjusting plans as necessary.
• Track forecast performance against operational KPIs and provide insights for improvement.
• Participate in the weekly S&OP planning cycle, preparing materials for cross-functional meetings.

Education

• Relevant educational background in Supply Chain Management, Data Analytics, or a related field is preferred.

Tools

• SQL, Excel, PowerBI (or Tableau), JIRA, Confluence, and AI tools for data analysis.