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.