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
Bachelors 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.
Required Skills:
Responsibilities: Supervise and lead a team of production workers including training scheduling and performance management. Provide guidance and support to ensure production targets and quality standards are met. Plan and coordinate production schedules to meet deadlines and optimize workflow. Ensure that machinery and equipment are operating correctly and safely. Enforce safety protocols and procedures to maintain a safe working environment. Ensure compliance with health and safety regulations. Identify opportunities for process improvement and implement changes to enhance productivity and efficiency. Collaborate with other departments to streamline operations and resolve production issues. Maintain accurate production records including output downtime and quality reports. Prepare and submit regular reports on production performance and issues to management. Monitor inventory levels and coordinate with the supply chain to ensure timely availability of materials. Manage stock control and ensure that production materials are used efficiently. Requirements: Bachelors degree in industrial engineering manufacturing business management or a related field is preferred. Relevant work experience may be considered. Minimum 1-2 years of experience in a production or manufacturing environment. Previous supervisory or leadership experience is preferred.
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 ...
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
Bachelors 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.
Required Skills:
Responsibilities: Supervise and lead a team of production workers including training scheduling and performance management. Provide guidance and support to ensure production targets and quality standards are met. Plan and coordinate production schedules to meet deadlines and optimize workflow. Ensure that machinery and equipment are operating correctly and safely. Enforce safety protocols and procedures to maintain a safe working environment. Ensure compliance with health and safety regulations. Identify opportunities for process improvement and implement changes to enhance productivity and efficiency. Collaborate with other departments to streamline operations and resolve production issues. Maintain accurate production records including output downtime and quality reports. Prepare and submit regular reports on production performance and issues to management. Monitor inventory levels and coordinate with the supply chain to ensure timely availability of materials. Manage stock control and ensure that production materials are used efficiently. Requirements: Bachelors degree in industrial engineering manufacturing business management or a related field is preferred. Relevant work experience may be considered. Minimum 1-2 years of experience in a production or manufacturing environment. Previous supervisory or leadership experience is preferred.