Data Analyst

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.