GIS Data Analyst

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.

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.

• 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.

• 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