About The Opportunity
A leading agri-food enterprise in India, we specialize in premium Basmati rice sourcing, processing, and global distribution. Our data-driven operations span supply chain optimization, demand forecasting, pricing analytics, and farmer engagement—powered by real-time dashboards, predictive modeling, and operational KPIs. We're hiring a Data Analytics Consultant to turn raw field and transactional data into strategic insights that drive yield, profitability, and sustainability across our value chain.
Role & Responsibilities
- Design and deploy ETL pipelines to consolidate data from ERP, CRM, and IoT-enabled farm sensors into centralized analytics warehouses.
- Build interactive dashboards in Power BI/Tableau to track yield trends, inventory turnover, export performance, and regional demand patterns.
- Develop forecasting models (ARIMA, regression, Prophet) to predict crop output, pricing volatility, and seasonal demand shifts.
- Partner with supply chain and sales teams to identify bottlenecks, optimize logistics routes, and reduce post-harvest loss via data-backed recommendations.
- Conduct root-cause analysis on operational KPIs (e.g., packing efficiency, moisture deviation, grade compliance) and propose process improvements.
- Train frontline teams to interpret analytics outputs and embed data-driven decision culture across procurement, milling, and exports departments.
Skills & Qualifications
Must-Have
- SQL
- Python (Pandas, NumPy, Scikit-learn)
- Power BI
- Tableau
- ETL Tools (e.g., Talend, Informatica, or Azure Data Factory)
- Forecasting Models (ARIMA, Linear Regression)
- Statistical Analysis
- Dashboard Design
Preferred
- Azure Synapse or AWS Redshift
- Agri-tech or FMCG domain experience
- Experience with IoT or sensor data integration
Benefits & Culture Highlights
- On-site work in a dynamic agri-business environment with direct impact on India's food supply chain.
- Opportunity to influence strategic decisions with insights that scale across 500+ farmer collectives and 30+ export markets.
- Collaborative culture with cross-functional exposure to supply chain, quality, and commercial teams.
Skills: data analytics,analytics,global trade
