Drone Data Analyst

Key Responsibilities:

1.Drone Data Management

• Manage and organize drone-generated datasets.
  
• Maintain structured repositories for drone imagery, maps, flight data, and processed outputs.
  
• Ensure accurate naming, storage, version control, and archiving of datasets.
  
• Maintain data quality and completeness.
  
• Coordinate with drone pilots to ensure required datasets are captured correctly.
  
• Maintain appropriate metadata for drone missions and datasets.
  

2.Drone Imagery Processing

• Process aerial imagery captured using the Drone Team’s equipment.
  
• Generate orthomosaics, digital elevation models, point clouds, and other relevant spatial output where required.
  
• Process multispectral imagery for vegetation and environmental analysis.
  
• Conduct image quality checks before analysis.
  
• Support processing and interpretation of drone datasets from different farm sites.
  

3.GIS and Spatial Analysis

• Develop and maintain GIS layers and spatial databases.
  
• Conduct spatial analysis using drone and other geospatial datasets.
  
• Produce maps for farm planning, monitoring, environmental assessment, and operational decision making.
  
• Support analysis of pond infrastructure, vegetation, flood risk, drainage, irrigation, and other operational requirements.
  
• Integrate drone data with existing GIS and operational datasets.
  

4.Data Analysis and Visualization

• Analyse drone datasets to identify trends, patterns, and operational insights.
  
• Conduct vegetation and multispectral analysis where applicable.
  
• Prepare charts, maps, dashboards, and visual outputs for internal stakeholders.
  
• Translate technical drone data into clear and practical information for non-technical users.
  
• Support development of data-driven solutions for farm operations.
  

5.Data Product and Tool Development

• Design data products and visualizations that improve access to drone information.
  
• Support development of interactive maps and operational dashboards.
  
• Assist in developing prototypes that use drone and spatial data to solve operational problems.
  
• Improve workflows for collecting, processing, analysing, and sharing drone data.
  
• Work with relevant Technology and Innovation and Data and Analytics teams on data solutions.
  

6.Quality Control and Documentation

• Conduct quality assurance on processed drone datasets and analytical outputs.
  
• Identify errors, gaps, or inconsistencies in datasets.
  
• Maintain documentation of processing and analysis workflows.
  
• Develop standard procedures for drone data management and processing.
  
• Maintain records of completed analyses and deliverables.
  

7.Operational Support

• Work closely with drone pilots to define data collection requirements.
  
• Provide feedback to pilots on imagery and data quality.
  
• Participate in field activities where data collection or ground verification is required.
  
• Support farm teams and other departments with relevant drone-derived information.
  
• Assist the Drone Team Manager in planning data requirements for new projects.
  

Qualifications and Requirements:

Diploma or Bachelor’s Degree in GIS / Geospatial Information Science, Surveying, Remote Sensing, Geography, Geomatics, Data Science, Computer Science, Environmental Science, Agriculture, or a related technical discipline. With 1–2 years of relevant professional experience.

Knowledge & Skills required:

1.Technical Skills

• GIS software such as QGIS or ArcGIS.
  
• Understanding of coordinate systems and spatial data.
  
• Experience working with raster and vector datasets.
  
• Basic understanding of remote sensing and aerial imagery.
  
• Experience processing or analysing drone imagery is highly desirable.
  
• Good knowledge of Microsoft Excel.
  
• Ability to organize and manage large datasets.
  
• Basic data visualization and reporting skills.
  

2. Desirable Technical Experience

• Drone photogrammetry.
  
• Multispectral imagery and vegetation indices such as NDVI.
  
• Orthomosaic and DEM generation.
  
• 3D or terrain modelling.
  
• QGIS / ArcGIS spatial analysis.
  
• PostGIS or spatial databases.
  
• Dashboard development or interactive web mapping.
  
• Python or other data-analysis tools.
  
• Experience with DJI drone data and processing workflows.
  
• Knowledge of aquaculture, agriculture, environmental monitoring, or farm operations.
  

3.Key Competencies

• Strong analytical and problem-solving skills.
  
• High attention to detail and data accuracy.
  
• Ability to interpret spatial and technical information.
  
• Strong organizational and documentation skills.
  
• Good communication and presentation skills.
  
• Ability to explain technical findings to non-technical stakeholders.
  
• Ability to work independently and collaboratively.
  
• Ability to manage multiple projects and deadlines.
  
• Willingness to learn new technologies and analytical methods.
  
• Strong interest in using technology and data to solve operational problems.
  

4.Key Performance Areas

• Accuracy and quality of processed drone datasets.
  
• Timely delivery of maps, analyses, and data products.
  
• Effective management and organization of drone data.
  
• Quality of GIS and remote-sensing analysis.
  
• Development of useful visualizations and decision-support products.
  
• Data quality assurance and documentation.
  
• Effective collaboration with drone pilots and operational teams.
  
• Contribution to improving the Drone Team’s data workflows and capabilities.