What Jobs are available for Remote Geospatial Data Analyst Mining Sector in Kenya?

Company Description

East African Data Handlers is the leading data recovery service provider in Africa, catering to corporate, government, and individual clients. The company offers award-winning data recovery services, as well as backup and storage solutions, digital forensics, IT security, and penetration testing. For more information, please visit or contact us at

Role Description

This is an on-site contract role for a Telesales Team Lead based in Nairobi County, Kenya. The Telesales Team Lead will be responsible for overseeing the telesales team, ensuring excellent customer service, managing sales targets, and implementing effective sales strategies. Day-to-day tasks will include coaching team members, monitoring performance, and developing customer engagement initiatives.

Qualifications

• Team Management and Team Leadership skills
• Strong Communication and Customer Service skills
• Experience in Telesales
• Excellent organizational and multitasking abilities
• Ability to motivate and inspire team members
• Bachelor's degree in Business Administration, Marketing, or related field
• Experience in the technology or data recovery industry is a plus

• Acquire, process, and analyze satellite imagery and aerial photography.
• Develop and implement GIS models for land cover classification, change detection, and suitability analysis.
• Utilize remote sensing techniques to monitor crop health, soil conditions, and water resources.
• Generate thematic maps and spatial reports for various applications in agriculture and forestry.
• Manage and maintain large geospatial databases.
• Collaborate with agronomists and forestry experts to integrate spatial data into their work.
• Ensure data quality and accuracy throughout the analysis workflow.
• Stay updated on the latest advancements in remote sensing technology and GIS software.
• Prepare technical documentation and present findings to project teams and stakeholders.
• Contribute to the development of innovative solutions for agricultural sustainability and conservation efforts.
• Troubleshoot issues related to data processing and analysis.

• Bachelor's or Master's degree in Geography, Environmental Science, Remote Sensing, GIS, or a related field.
• Minimum of 3-5 years of professional experience in remote sensing and GIS analysis.
• Proficiency in GIS software such as ArcGIS, QGIS, or ERDAS Imagine.
• Experience with remote sensing data processing and image analysis techniques.
• Knowledge of programming languages (e.g., Python, R) for geospatial analysis is highly desirable.
• Familiarity with various satellite data sources (e.g., Landsat, Sentinel, Planet).
• Strong understanding of agricultural and environmental principles.
• Excellent analytical and problem-solving skills.
• Ability to work independently and manage project timelines in a remote setting.
• Effective communication skills, both written and verbal.
• Experience with data visualization techniques.

• Acquire, pre-process, and analyze satellite, aerial, and drone imagery using various remote sensing software.
• Develop and implement GIS models for land cover classification, change detection, and suitability analysis.
• Generate thematic maps, reports, and visualizations to communicate complex geospatial information effectively.
• Integrate various data sources, including climate data, soil data, and yield data, with geospatial information.
• Develop and maintain geospatial databases and ensure data quality and integrity.
• Collaborate with agronomists, researchers, and field teams to define project requirements and deliver relevant geospatial solutions.
• Stay current with advancements in remote sensing and GIS technologies and apply them to agricultural applications.
• Troubleshoot technical issues related to data processing and analysis.
• Contribute to research proposals and scientific publications.

• Master's degree or Ph.D. in Remote Sensing, Geography, Geospatial Information Science, Agronomy, or a related field.
• Minimum of 4 years of hands-on experience in remote sensing data processing and GIS analysis, preferably within the agricultural sector.
• Proficiency in GIS software such as ArcGIS, QGIS, and remote sensing software like ENVI, ERDAS Imagine, or Google Earth Engine.
• Strong programming skills in Python or R for geospatial data analysis.
• Experience with various satellite data products (e.g., Sentinel, Landsat, Planet).
• Understanding of agricultural practices and crop physiology is a significant advantage.
• Excellent analytical, problem-solving, and data visualization skills.
• Ability to work independently and collaboratively in a remote team environment.

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

• Lead the design, development, and implementation of advanced data science models for geospatial and environmental applications.
• Utilize machine learning, statistical modeling, and AI techniques to analyze large-scale remote sensing and GIS datasets.
• Develop and refine algorithms for image processing, feature extraction, and pattern recognition in satellite imagery.
• Manage and mentor a team of data scientists and researchers, fostering a collaborative and innovative research environment.
• Collaborate with domain experts to define research questions and translate them into data-driven projects.
• Oversee the end-to-end data science lifecycle, from data acquisition and cleaning to model deployment and interpretation.
• Publish research findings in high-impact scientific journals and present at international conferences.
• Contribute to grant proposals and secure research funding.
• Ensure the integrity, quality, and ethical use of data throughout research projects.
• Develop scalable and reproducible data analysis workflows.
• Stay current with the latest advancements in data science, remote sensing, GIS, and environmental science.
• Provide technical leadership and strategic direction for the data science team.
• This role is fully remote, with key operational connections to Kisumu, Kisumu, KE .

• Ph.D. or Master's degree in Data Science, Computer Science, Environmental Science, Geomatics, or a related quantitative field.
• 5+ years of experience in data science, with a strong focus on geospatial and remote sensing data analysis.
• Proven track record of leading data science projects and teams.
• Expertise in programming languages such as Python (with libraries like NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch) and R.
• Proficiency with GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms.
• Strong understanding of machine learning algorithms, statistical modeling, and deep learning.
• Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong publication record and experience in scientific research.
• Effective communication and presentation skills, able to convey complex technical concepts to diverse audiences.
• Demonstrated ability to work independently and collaboratively in a remote setting.

• Analyze large and complex healthcare datasets, including patient demographics, clinical outcomes, claims data, and operational metrics.
• Develop and implement advanced analytical models to identify trends, patterns, and correlations in healthcare data.
• Design and create comprehensive reports, dashboards, and visualizations to present findings to key stakeholders, including clinicians, administrators, and executives.
• Collaborate with cross-functional teams to define data requirements and analytical objectives.
• Identify opportunities for improving healthcare quality, patient safety, and cost-effectiveness through data-driven insights.
• Develop predictive models for patient risk stratification, disease forecasting, and resource allocation.
• Ensure data accuracy, integrity, and compliance with healthcare regulations (e.g., HIPAA).
• Mentor junior data analysts and provide technical guidance.
• Stay current with the latest trends and technologies in healthcare analytics and data science.
• Translate business requirements into technical specifications for data extraction and analysis.
• Perform ad-hoc data analysis to support urgent business needs and research initiatives.
• Contribute to the development of data governance policies and best practices.
• Evaluate and recommend new analytical tools and methodologies.
• Communicate complex analytical findings in a clear and understandable manner to diverse audiences.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Health Informatics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, with a significant focus on the healthcare industry.
• Proven experience with SQL for data extraction and manipulation from relational databases.
• Proficiency in statistical programming languages such as R or Python.
• Experience with data visualization tools (e.g., Tableau, Power BI, QlikView).
• Strong understanding of healthcare data sources, terminology, and common analytical challenges.
• Knowledge of healthcare regulations and data privacy standards (e.g., HIPAA).
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and presentation skills, with the ability to explain complex findings to non-technical audiences.
• Experience with predictive modeling and machine learning techniques is a plus.
• Ability to work effectively both independently and collaboratively in a hybrid team environment.
• Familiarity with electronic health records (EHR) systems is advantageous.