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 will 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