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Victory Farms is a tilapia fish farm established in 2015. VF is located on the Kenyan side of Lake Victoria and has distribution capacity throughout Kenya. The Company is rapidly expanding its farm operation, fish processing, and sales & marketing capabilities. By the end of 2017, VF is on track to be the largest aquaculture farm in East Africa. VF is em...
Job Purpose
Are you a technically capable, analytical, and detail-oriented professional with a passion for turning drone data into insights that drive better farm operations?
We are seeking an exceptional Drone Data Analyst to manage, process, analyse, and transform drone-generated data into practical insights that support farm operations, environmental monitoring, mapping, planning, and decision-making across Victory Farms.
You will work closely with the Drone Operations Team to manage drone datasets, process imagery, develop maps and spatial outputs, and create reliable data products that help operational and management teams understand what is happening on the ground and make informed decisions.
This is a hands-on analytical role for someone who can turn complex drone imagery and spatial data into clear, actionable information. As we continue to leverage technology across our operations, you will play a key role in improving data-driven planning, monitoring, and operational efficiency.
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.
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.
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.
.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.
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.
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:
echnical 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.
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.
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.
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.
Benefit
- Visibility into the world’s fastest growing aquaculture company.
- Ideal for a candidate looking to dive into a mission-oriented Organization.
- The team is committed to the candidate’s success and will provide coaching, mentorship, and unique exposure to people and experiences that come from the most successful leaders in the entrepreneurial community and the social sector.