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Drone Data Analyst

Victory Farms Outside Kenya Full Time Posted 2026-10-26

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Victory Farms is hiring a Drone Data Analyst to manage, process, and analyze drone-generated datasets including aerial imagery, GIS layers, and spatial outputs. The role involves supporting farm planning, monitoring, and operational decision-making through data visualization, dashboard development, and cross-functional coordination with drone pilots. It is a full-time, 8-to-5 position open to applicants based in Kenya.

Full-time role with standard 8-to-5 working hours
Focus on drone imagery processing, GIS, and spatial analysis
Applicant location is Kenya, but work is based outside Kenya

Source BrighterMonday Kenya Salary Not enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.

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CountyNot specifiedCityNot specifiedContractFull TimePosted2026-10-26Close dateNot specifiedExperienceNot specifiedSourceBrighterMonday Kenya

drone data analystgisspatial analysisremote sensingdata visualizationfull timekenya applicantsagriculture analyticsdriverinternshipmotoristaentregador

AI summary

Full-time role with standard 8-to-5 working hours
Focus on drone imagery processing, GIS, and spatial analysis
Applicant location is Kenya, but work is based outside Kenya
Involves building dashboards, maps, and operational data products
Requires coordination with drone pilots and internal stakeholders

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RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
PreferredPractical evidence in driver, internship, motoristaThe tags and summary point to skills connected with this role.
RequiredAvailability to work in Outside KenyaThe vacancy is associated with this location.
UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.

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Place your strongest Drone Data Analyst evidence in the first half of your CV.
In your cover letter or employer message, connect your experience to Victory Farms and the role in Outside Kenya.
Add concrete examples related to driver, internship, motorista, ideally with measurable outcomes or clear responsibilities.
Follow the instructions from BrighterMonday Kenya; avoid sending documents to unofficial contacts or copied links.
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What experience makes you a strong fit for this Drone Data Analyst role in driver, internship?
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Original source description

Drone Data Analyst

Victory Farms

Driver & Transport Services

Today

New

Outside Kenya

Full Time

Confidential

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Language Requirement:

English

Work Type:

Full Time

Working Hours:

8 to 5

Applicant Location:

Kenya

Job descriptions & requirements

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.

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.
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Source and provenanceSource: BrighterMonday Kenya. Last checked: 2026-10-26.Kazi Connect is a job discovery service, not the employer. Always confirm the vacancy at the original source.Summaries may be AI-assisted. Report inaccurate content.

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