539 Geospatial Data Analysis jobs in Kenya
Job Description
About Zipline
Do you want to change the world? Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building, manufacturing, and operating the first instant delivery and logistics system that serves all humans equally, wherever they are. From powering Rwanda's national blood delivery network and Ghana's COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart and enabling healthcare providers to bring care directly to U.S. homes, we are transforming the way things move for businesses, governments, and consumers. The technology is complex but the idea is simple: a teleportation service that delivers what you need, when you need it, with zero emissions.
Join Zipline and help us to make good on our promise to build an equitable and more resilient global supply chain for billions of people.
About You And The Role
We are seeking a highly motivated and skilled GIS Data Analyst to build the data analytics function within our Sales and Partnerships team in Africa. This pivotal role will bridge operational data, impact metrics, and geospatial intelligence to uncover insights, craft compelling narratives, and drive strategic growth.
You'll collaborate closely with the Sales and Partnerships and GIS Engineering teams to uncover trends, optimize strategies, and support the company's mission across key markets. This role is ideal for someone who thrives in dynamic environments and can fluidly bridge technical expertise with business storytelling.
You'll help design and maintain systems for aggregating spatial data from diverse sources, validating flight routes, and delivering geospatial services across Zipline. These systems are essential for managing risk, ensuring regulatory compliance, and driving operational excellence.
What You'll Do
- Design and maintain analytics frameworks that connect geospatial and operational data to business outcomes. Uncover trends, develop KPIs, and support data-driven decision-making across sales, marketing, and government engagement efforts.
- Collaborate with GIS engineers and operations teams to refine Zipline's spatial data pipelines. Ensure accurate and validated flight routing and territory mapping using up-to-date satellite, drone, and local data sources.
- Conduct spatial analyses to estimate travel time and distance to health facilities using road network data, elevation models, and service delivery catchments.
- Support monitoring and evaluation (M&E) studies by integrating geospatial data with health, demographic, and operational datasets to inform impact assessments.
- Access and analyze remote sensing data from platforms such as Google Earth Engine, Sentinel, or Landsat to support environmental, demographic, and infrastructure-related research.
- Design and implement spatial regression models and geographically weighted analyses to explore spatial patterns in health outcomes and service accessibility.
- Contribute to the design of sampling strategies for household surveys, including spatial enumeration and clustering techniques to ensure representativeness and feasibility in the field.
- Develop models to identify optimal locations for new Zipline distribution centers based on geospatial, socioeconomic, epidemiological, and logistical factors.
- Analyze disease outbreak patterns and model the geographical dissemination of infectious diseases to support response planning and proactive health interventions.
- Create clear, reproducible spatial data pipelines and visualizations to support internal decision-making and external communications with stakeholders.
- Collaborate closely with data scientists, impact evaluators, engineers, and policy teams to translate research questions into actionable geospatial analyses.
What You'll Bring
- 5+ years of hands-on experience in GIS and spatial analysis, preferably in a sales or customer success environment
- Strong working knowledge of GIS Tools such as ArcGIS or QGIS
- Strong proficiency in Generative AI tools and applications relevant to data analysis and visualization.
- Advanced skills in data visualization using tools like Mode, Tableau, Power BI, or Matplotlib
- Experience in writing SQL queries to extract, manipulate, and analyze large datasets from relational databases; ability to optimize SQL queries for performance improvements, create and maintain database schemas, and manage database security
- Familiarity with geospatial risk modeling, transportation/logistics networks, or public health infrastructure in Sub-Saharan Africa.
- Excellent problem-solving and analytical skills
- Strong communication skills with the ability to present complex data in a clear, concise manner; ability to communicate clearly with both technical and non-technical audiences
- Ability to work independently and manage multiple projects simultaneously
- Inherent self-motivation, adaptability, and creativity
Preferable but not required:
Experience with spatial components of monitoring and evaluation (M&E) systems or household survey design.
- Prior work on optimizing logistics or health delivery systems using geospatial models.
- Proficiency with cloud-based platforms for big spatial data or machine learning (e.g. AWS, GEE, Databricks).
Location:
Ghana, Nigeria, Kenya, Rwanda, or Côte d'Ivoire
What Else You Need to Know
Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.
We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply
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Senior Geospatial Data Analyst - Real Estate
Posted 25 days ago
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Job Description
Join our client's innovative team as a Senior Geospatial Data Analyst, contributing to the future of real estate insights through advanced data analysis and visualization. This is a fully remote position, offering the flexibility to work from anywhere while making a significant impact. You will leverage your expertise in geographic information systems (GIS), spatial analysis, and real estate market dynamics to extract actionable intelligence from complex datasets. Your primary focus will be on developing and implementing sophisticated spatial models that identify market trends, predict property values, and optimize investment strategies. You will work with diverse data sources, including property records, demographic information, infrastructure data, and economic indicators, transforming raw data into compelling visual narratives and strategic recommendations. This role is ideal for a data-driven professional passionate about uncovering patterns and opportunities within the urban and rural landscapes relevant to real estate.
Key Responsibilities:
Qualifications:
This is a fully remote role. While we embrace a global talent pool, we are particularly interested in candidates with a connection to Kakamega, Kakamega, KE .
Key Responsibilities:
- Perform advanced spatial analysis and modeling using GIS software (e.g., ArcGIS, QGIS) to identify real estate market trends, opportunities, and risks.
- Integrate and manage diverse datasets, including property data, demographic, economic, and environmental information.
- Develop predictive models for property valuation, market forecasting, and site selection.
- Create insightful maps, dashboards, and reports to communicate findings to stakeholders.
- Automate data collection, processing, and analysis workflows.
- Collaborate with real estate professionals, data scientists, and software engineers to support strategic decision-making.
- Conduct research on land use, zoning regulations, infrastructure development, and their impact on property values.
- Ensure data quality, accuracy, and integrity for all geospatial datasets.
- Stay abreast of emerging GIS technologies, spatial analysis techniques, and real estate market trends.
- Provide expert guidance on geospatial data strategy and best practices.
Qualifications:
- Master's degree in Geography, GIS, Urban Planning, Real Estate, Data Science, or a related field.
- Minimum of 5 years of professional experience in geospatial analysis, with a strong emphasis on the real estate sector.
- Proficiency in GIS software (ArcGIS, QGIS) and spatial analysis techniques.
- Experience with data analysis and visualization tools (e.g., Python/Pandas, R, Tableau).
- Strong understanding of real estate market dynamics, property valuation methods, and investment principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to manage complex projects, work independently, and thrive in a remote, fast-paced environment.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Familiarity with remote sensing data and image analysis is a plus.
- Experience with SQL and database management.
This is a fully remote role. While we embrace a global talent pool, we are particularly interested in candidates with a connection to Kakamega, Kakamega, KE .
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Remote Geospatial Data Analyst - Mining Sector
Posted 7 days ago
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Job Description
Our client is seeking a highly skilled Geospatial Data Analyst with a specialization in the mining sector for a fully remote position. This role is critical for leveraging spatial data to support exploration, operational planning, environmental monitoring, and resource assessment within mining projects. You will be responsible for collecting, processing, analyzing, and visualizing large volumes of geospatial data from various sources, including satellite imagery, aerial photography, drone surveys, and ground-based sensors. The ideal candidate will possess advanced proficiency in GIS software (e.g., ArcGIS, QGIS), remote sensing techniques, and spatial data management. A strong understanding of geological principles and mining operations is highly advantageous. As a remote employee, you will collaborate virtually with geologists, engineers, and environmental scientists, providing them with critical spatial insights to inform decision-making. This is an exciting opportunity to apply your expertise in a challenging and impactful industry from the convenience of your home office. You will be expected to develop custom spatial models, conduct spatial statistics, and generate high-quality maps and reports. The role requires exceptional analytical skills, meticulous attention to detail, and the ability to work autonomously on complex projects. We are looking for individuals passionate about the intersection of technology, earth sciences, and resource management. Your work will directly contribute to the efficiency, safety, and sustainability of mining operations. Proficiency in scripting languages (e.g., Python, R) for automating geospatial workflows is a significant asset. Our client values innovation, data integrity, and a commitment to best practices in geospatial analysis within the extractive industries. The specific mining projects you will support are broadly associated with the **Eldoret, Uasin Gishu, KE** region, though your work will be performed entirely remotely.
Responsibilities:
Responsibilities:
- Collect, process, and analyze diverse geospatial datasets relevant to mining operations.
- Utilize GIS software (e.g., ArcGIS, QGIS) and remote sensing tools to interpret spatial data.
- Develop and implement spatial models for resource estimation, exploration targeting, and mine planning.
- Perform spatial analysis, including terrain analysis, proximity analysis, and suitability modeling.
- Create high-quality thematic maps, reports, and visualizations for stakeholders.
- Integrate data from various sources, including satellite imagery, LiDAR, and GPS data.
- Conduct environmental impact assessments using geospatial techniques.
- Automate repetitive geospatial tasks using scripting languages (e.g., Python, R).
- Collaborate virtually with geologists, engineers, and environmental specialists.
- Stay updated on advancements in geospatial technology and mining applications.
- Master's degree or Ph.D. in Geography, Geosciences, Environmental Science, Computer Science with a GIS focus, or a related field.
- Minimum of 5 years of professional experience in geospatial analysis, with a significant focus on the mining or natural resource sector.
- Advanced proficiency in ArcGIS, QGIS, and other relevant GIS software.
- Strong experience with remote sensing software and techniques.
- Demonstrated ability to process and analyze large spatial datasets.
- Proficiency in scripting languages such as Python or R for geospatial analysis.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and visualization skills, with the ability to present complex spatial information clearly.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Knowledge of geological concepts and mining exploration/production processes is highly desirable.
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Lead Geologist - Remote Sensing & Data Analysis
Posted 18 days ago
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Job Description
Our client, a prominent global mining consultancy, is actively recruiting a Lead Geologist with expertise in Remote Sensing and Data Analysis for a fully remote position. This role is critical in identifying and evaluating new mineral resource potentials across various geological terrains. You will spearhead the application of cutting-edge remote sensing technologies, including satellite imagery, LiDAR, and drone data, coupled with advanced data analytics, to interpret geological structures, mineralogy, and alteration patterns. Your primary focus will be on developing and implementing innovative methodologies for regional-scale exploration targeting, optimizing the efficiency and effectiveness of our client's exploration programs. The responsibilities include managing large geospatial datasets, performing complex spatial analysis, integrating diverse geological data sources, and generating actionable exploration recommendations. You will work collaboratively with a team of geoscientists, data scientists, and engineers located globally, contributing your specialized knowledge to high-impact projects. This position requires a strong background in structural geology, economic geology, and a deep understanding of various remote sensing techniques and their applications in mineral exploration. Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing software (e.g., ENVI, ERDAS Imagine) is essential. Experience with programming languages like Python or R for data analysis and automation is highly desirable. The successful candidate will demonstrate exceptional problem-solving abilities, a keen eye for detail, and the capacity to lead projects and mentor junior team members. This is an exceptional opportunity to shape the future of mineral exploration by leveraging advanced technologies and data-driven insights in a flexible, remote-first environment. Our client is committed to sustainability and responsible resource development, and your work will directly contribute to these principles, influencing exploration strategies in regions like Eldoret, Uasin Gishu, KE and beyond, while being based remotely.
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Geologist - Remote Sensing & Data Analysis
Posted 1 day ago
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Job Description
Our client, a leading force in the mining sector, is actively seeking a highly skilled Geologist specializing in Remote Sensing and Data Analysis for a fully remote position. This role offers the unique opportunity to contribute to critical exploration and resource assessment projects without the need for on-site presence. You will leverage cutting-edge satellite imagery, aerial photography, and GIS technologies to identify potential mineral deposits, analyze geological structures, and support exploration strategies. The successful candidate will be proficient in processing and interpreting a wide range of geospatial data, utilizing software such as ArcGIS, QGIS, ERDAS Imagine, or similar. Responsibilities include developing and executing remote sensing surveys, creating detailed geological maps, performing spatial analysis to delineate target areas, and integrating diverse datasets (geophysical, geochemical, and drilling data) for comprehensive resource modeling. You will collaborate closely with a geographically dispersed team of geologists, geophysicists, and data scientists, contributing expertise in geological interpretation from remote data sources. A strong understanding of mineral systems and deposit models relevant to the region is essential. Qualifications include a Master's degree or Ph.D. in Geology, Earth Science, or a related field, with a specialization in Remote Sensing or GIS. A minimum of 5 years of hands-on experience in geological data analysis, with a significant portion focused on remote sensing techniques applied to mineral exploration, is required. Excellent written and verbal communication skills are vital for reporting findings and collaborating effectively in a virtual environment. This position is ideal for an independent, analytical thinker passionate about applying advanced technologies to geological challenges in the mining industry. Join our client's innovative team and make a significant impact on their exploration success from the comfort of your home office.
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Principal Geologist, Remote Sensing & Data Analysis
Posted 18 days ago
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Job Description
Our client is seeking a highly experienced Principal Geologist with expertise in remote sensing and advanced data analysis to join their globally distributed team. This is a fully remote position, offering unparalleled flexibility to contribute to critical mining operations. You will lead the geological interpretation and analysis of large datasets derived from satellite imagery, aerial surveys, and geophysical data to identify mineral exploration targets and optimize resource assessment. Your responsibilities will include developing and implementing sophisticated data processing workflows, utilizing GIS and geological software to create detailed prospectivity maps, and integrating diverse geological datasets for comprehensive analysis. You will provide expert geological advice and support to exploration teams, contributing to the strategic direction of exploration programs. Experience with machine learning algorithms and statistical analysis techniques applied to geological data is highly desirable. You will stay abreast of the latest advancements in remote sensing technologies and geological modeling software, evaluating and recommending new tools and methodologies. Collaboration with geophysicists, geochemists, and drilling engineers to validate findings and refine geological models will be a key aspect of this role. A Ph.D. or Master's degree in Geology, Geophysics, or a closely related field, with a specialization in remote sensing or data science, is required. A minimum of 10 years of progressive experience in mineral exploration, with a significant focus on applying remote sensing techniques, is essential. Proven experience in managing complex data projects and leading technical teams in a remote environment is expected. Excellent written and verbal communication skills are necessary to present complex technical findings to both specialist and non-specialist audiences. The ability to work autonomously, think critically, and deliver high-quality results under challenging conditions is crucial. This is an exceptional opportunity for a leading geologist to shape exploration strategies from anywhere in the world, contributing to significant discoveries. Join our client's innovative exploration division and drive geological insights from your remote workstation, contributing to projects in or around **Kakamega, Kakamega, KE**.
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Lead Agronomist - Remote Sensing & Data Analysis
Posted 24 days ago
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Job Description
Our client is seeking an innovative and experienced Lead Agronomist to spearhead their remote sensing and data analysis initiatives. This is a fully remote position, offering the flexibility to work from anywhere while making a significant impact on modern agricultural practices. You will be instrumental in collecting, processing, and interpreting vast amounts of agricultural data derived from satellite imagery, drone surveys, and ground sensors. Your expertise will guide precision farming strategies, optimize crop yields, and promote sustainable land management. Responsibilities include developing and implementing advanced analytical models for soil health assessment, crop health monitoring, pest and disease prediction, and irrigation management. You will also be responsible for identifying trends, forecasting outcomes, and providing actionable insights to farmers and agricultural stakeholders. The ideal candidate will have a strong background in agronomy, coupled with extensive experience in geospatial analysis, remote sensing technologies (e.g., NDVI, EVI), and statistical data modeling. Proficiency in GIS software (e.g., ArcGIS, QGIS), programming languages (e.g., Python, R), and agricultural data platforms is essential. You will collaborate closely with interdisciplinary teams, including data scientists, agronomists, and software developers, to enhance data collection methods and analytical tools. This role requires a strategic thinker with excellent communication skills, capable of translating complex data into clear, concise recommendations. You will contribute to developing new methodologies and tools to address pressing agricultural challenges, supporting efficient and sustainable food production. The position involves staying at the forefront of technological advancements in agricultural science and data analytics. You will play a key role in developing remote advisory services and digital tools to empower farmers with data-driven decision-making capabilities, specifically supporting agricultural operations in and around **Meru, Meru, KE**. A passion for innovation in agriculture and a proven track record of leading data-driven projects are highly valued. This role is crucial for advancing our client's mission to revolutionize farming through technology, offering a challenging and rewarding remote career.
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Senior Agronomist - Remote Sensing & Data Analysis
Posted 9 days ago
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Job Description
Our client is seeking a highly skilled Senior Agronomist with expertise in remote sensing and data analysis to contribute to sustainable agricultural practices. This is a fully remote position where you will leverage advanced technologies to monitor crop health, optimize resource utilization, and provide data-driven insights to farmers and agricultural organizations. Your work will be critical in enhancing crop yields and promoting efficient land management.
Key Responsibilities:
Key Responsibilities:
- Utilize satellite imagery, drone data, and other remote sensing technologies to assess crop health, growth stages, and identify potential issues (e.g., disease, nutrient deficiencies, water stress).
- Develop and implement data analysis workflows for processing, interpreting, and visualizing geospatial agricultural data.
- Create detailed reports and recommendations for farmers, agronomists, and agricultural stakeholders based on remote sensing analysis.
- Integrate remote sensing data with other agricultural datasets (e.g., soil data, weather data, yield data) for comprehensive analysis.
- Monitor agricultural landscapes for changes, land use patterns, and environmental impacts.
- Collaborate with research teams, agronomists, and field personnel to validate findings and refine methodologies.
- Stay abreast of advancements in remote sensing technologies, GIS software, and agricultural data analytics.
- Contribute to the development of precision agriculture solutions and tools.
- Provide training and technical support to users on remote sensing applications in agriculture.
- Ensure the quality and accuracy of analyzed data and reported findings.
- Master's degree or PhD in Agronomy, Agricultural Science, Geosciences, Remote Sensing, or a related field.
- Minimum of 6 years of experience in agronomy, with a strong specialization in remote sensing and geospatial data analysis.
- Proven experience with satellite imagery processing (e.g., Landsat, Sentinel, Planet) and analysis platforms (e.g., Google Earth Engine, ENVI, ArcGIS).
- Proficiency in data analysis and statistical software (e.g., R, Python, MATLAB).
- Strong understanding of crop physiology, soil science, and plant pathology.
- Experience with GIS software and techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain technical concepts clearly.
- Ability to work independently and manage multiple projects in a remote setting.
- A passion for sustainable agriculture and innovative solutions.
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Senior Geologist - Remote Sensing & Data Analysis
Posted 23 days ago
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Job Description
Our client, a leading innovator in mineral exploration, is seeking a highly analytical and experienced Senior Geologist to join their fully remote workforce. This role is pivotal in driving exploration strategy through advanced remote sensing and data interpretation. You will be instrumental in analyzing vast geological datasets, including satellite imagery, geophysical surveys, and geochemical data, to identify promising areas for mineral deposits. Your expertise will be crucial in developing sophisticated geological models and predictive maps that guide field exploration teams. The responsibilities include conducting literature reviews, processing and interpreting complex geological data using specialized software, and collaborating closely with remote sensing specialists and data scientists. You will be expected to generate detailed reports and presentations for management and exploration teams, clearly articulating findings and recommendations. The ideal candidate will possess a strong understanding of geological principles, particularly as they apply to mineral exploration in various geological settings. Proficiency in GIS software (e.g., ArcGIS, QGIS), remote sensing platforms (e.g., ENVI, ERDAS Imagine), and data visualization tools is essential. Experience with programming languages such as Python or R for data analysis and scripting is highly desirable. This is a remote-first position, requiring excellent written and verbal communication skills, strong organizational abilities, and the capacity to work autonomously and collaboratively within a distributed team. You should have a proven track record in geological exploration, with a focus on data-driven approaches. A Master's or Ph.D. in Geology or a related field is preferred. The ability to critically assess geological information, identify potential biases, and develop robust hypotheses is key. You will be expected to stay current with the latest advancements in geological exploration technologies and methodologies. This role offers the flexibility of working from any location, allowing you to contribute significantly to our client's success without geographical constraints. Our client is dedicated to fostering a collaborative and innovative environment, even within a remote setup. You will have the opportunity to work on challenging and rewarding projects that have a real impact on resource discovery. The successful candidate will demonstrate a keen eye for detail, strong problem-solving skills, and the ability to translate complex geological concepts into actionable insights. This position is for an individual who thrives in an environment where data integrity and scientific rigor are paramount. Your contribution will be vital in optimizing exploration efforts and minimizing risks. The successful candidate will have a deep understanding of mineral systems and deposit models.
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Senior Geologist - Remote Sensing and Data Analysis
Posted 16 days ago
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Job Description
Our client is seeking a highly skilled Senior Geologist with expertise in remote sensing and advanced data analysis to join their fully remote exploration team. This role will focus on identifying and evaluating mineral potential in various geological settings using satellite imagery, airborne geophysical data, and geological databases. You will be responsible for processing, interpreting, and integrating diverse datasets to generate high-quality exploration targets. The ideal candidate will have a strong understanding of geological principles, structural geology, mineral deposit types, and geophysical methods. Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., ENVI, ERDAS Imagine) is crucial. Experience with statistical analysis, machine learning, and predictive modeling for mineral exploration is highly desirable. You will work collaboratively with a global team of geologists, geophysicists, and engineers, contributing to exploration strategy and target generation. This position requires excellent analytical skills, attention to detail, and the ability to work independently and manage multiple projects simultaneously in a remote environment. Strong written and verbal communication skills are essential for reporting findings and presenting technical information to diverse audiences. A Bachelor's degree in Geology or Earth Sciences is required; a Master's degree or PhD with a specialization in exploration geology or geophysics is preferred. A minimum of 7 years of progressive experience in mineral exploration, with a significant focus on remote sensing and data integration, is essential. Experience with database management and programming (e.g., Python, R) for data manipulation and analysis is a plus. We are looking for an innovative thinker who can leverage cutting-edge technologies to drive exploration success. Join us and contribute to discovering valuable mineral resources from the comfort of your home office. This is an exciting opportunity for a seasoned professional looking for a challenging and rewarding remote career in the mining sector.
Responsibilities:
Responsibilities:
- Acquiring, processing, and interpreting satellite and airborne data for geological mapping and target generation.
- Integrating geological, geophysical, and geochemical data using GIS and other analytical tools.
- Developing and applying advanced data analysis techniques, including machine learning, for mineral prospectivity mapping.
- Conducting literature reviews and analyzing existing geological databases.
- Identifying and defining priority exploration targets based on data analysis and geological models.
- Collaborating with field exploration teams to guide ground-truthing activities.
- Preparing comprehensive technical reports, presentations, and exploration proposals.
- Mentoring junior geoscientists and contributing to team knowledge sharing.
- Minimum of 7 years of experience in mineral exploration, with a focus on remote sensing and data analysis.
- M.Sc. or Ph.D. in Geology or Earth Sciences with specialization in exploration geology or geophysics.
- Advanced proficiency in GIS software (ArcGIS, QGIS) and remote sensing platforms (ENVI, ERDAS).
- Strong understanding of structural geology and various mineral deposit models.
- Experience with statistical analysis and machine learning techniques applied to exploration.
- Proficiency in data management and programming languages like Python or R is a strong asset.
- Excellent analytical, problem-solving, and technical communication skills.
- Proven ability to work effectively independently in a remote setting.
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