Description

You will use data science and analytics to drive volume forecasting and marketing effectiveness.

Responsibilities

• Build forecasting tools and dashboards using Excel and Power BI to predict volume based on SKU, offers, and profitability.
• Analyze marketing campaigns through A/B testing and regression modeling.
• Design and build ETL/ELT pipelines.
• Collaborate with brand, retailer, and cross-functional teams to support media and consumption forecasting.

Required Skills

• 5+ years of experience in data analytics or data science.
• Proven experience in CPG, FMCG, or Retail domains.
• Strong proficiency in Python or R for modeling and analysis.
• Expert-level Excel and Power BI skills.
• Hands-on experience with A/B testing and regression modeling.
• Solid understanding of business and marketing processes.
• Any Graduate degree.

Key Skills

Education

Any Graduate