Job Description
Key Responsibilities:
- Data Collection and Analysis: Gather, clean, and analyze data from ERP systems, market research, competitor analysis, etc., to derive actionable insights that support business objectives.
- Reporting and Visualization: Develop comprehensive reports and dashboards using BI tools to present findings to stakeholders. Ensure reports highlight key trends and insights.
- Forecasting and Modeling: Apply statistical techniques and forecasting models to predict future trends in the agro-commodities market. Use Python for data manipulation and predictive modeling tasks.
- Market Research: Conduct market research to identify industry trends, customer preferences, and competitive landscape. Utilize this information to inform strategic planning and decision-making.
- Cross-Functional Collaboration: Work closely with cross-functional teams, including sales, trading, and logistics, to understand their data needs and provide analytical support.
Required Skills & Qualifications:
- Bachelor’s degree in Computer Science, Mathematics, Electronics, or a related field.
- At least 3 years of relevant experience.
- Proficiency in Python for data analysis and scripting.
- Familiarity with SQL for database management and querying.
- Familiarity with ERP systems and BI tools (e.g., Power BI).
- Strong analytical skills with experience in statistical analysis and forecasting methodologies.
