GIS Data Aanlyst at Zipline

• 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

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