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• 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. • Strong 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.
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