- Assist in collecting and organizing agricultural data from diverse sources including field sensors, satellite imagery, weather stations, and farm management systems.

- Perform data cleaning, validation, and preprocessing to ensure accuracy and consistency for analysis.

- Support the creation of dashboards and visualizations using tools such as Tableau, Power BI, or Google Data Studio to communicate key agricultural trends.

- Conduct basic statistical analysis and trend identification to support decision-making for crop planning and resource allocation.

- Collaborate with cross-functional teams to understand business needs and translate them into data requirements.

- Document processes, findings, and insights to support knowledge sharing and future reference.

- Participate in weekly team meetings and contribute to brainstorming sessions on data strategy and innovation in agriculture.

Requirements

- Bachelor’s degree in Data Science, Statistics, Computer Science,



Agricultural Science, or a related field (final year students or recent graduates welcome).

- Basic understanding of data analysis concepts, including descriptive statistics, data visualisation, and data modelling.

- Proficiency in Microsoft Excel, with exposure to SQL and Python (or R) being highly advantageous.

- Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio is a plus.

- Robust analytical thinking, problem-solving skills, and attention to detail.

- Ability to work independently and as part of a team in a fast-paced environment.

- Interest in agriculture, sustainability, and the application of technology in farming.

- Willingness to learn and adapt to new tools, processes, and agricultural data ecosystem.

📌 Require a Data Analyst Intern in Mumbai
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📍 Mumbai