GIS & Data Analytics Manager
Atlanta, Georgia, 30303, United States On-site
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About the role
The GIS & Data Analytics Manager supports Atlanta Beltline’s mission by transforming spatial and organizational data into actionable insights that improve planning, operations, and decision-making. Reporting to the Director of Impact & Evaluation, this position serves as a technical resource in GIS, spatial analytics, data analysis, and visualization while contributing to the organization’s broader data strategy. The GIS & Data Analytics Manager develops and maintains enterprise GIS resources, performs spatial and statistical analysis, manages complex datasets, builds automated workflows, and creates dashboards and analytical products that support organizational priorities. This position partners across departments to integrate GIS with enterprise data systems and leverages tools such as Python, R, SQL, and emerging analytical technologies to improve data quality, automate processes, and advance evidence-based decision-making.
What you'll bring
- Advanced knowledge of Esri GIS technologies, including ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, Experience Builder, StoryMaps, Survey123, and related applications.
- Proficiency in Python and/or R for data analysis, statistical analysis, automation, and workflow development.
- Knowledge of statistical methods including regression analysis, clustering, hypothesis testing, and spatial statistics.
- Experience writing SQL queries and working with relational databases and enterprise data systems.
- Experience writing SQL queries and working with relational databases.
- Experience integrating spatial and non-spatial datasets from multiple sources.
- Knowledge of database design, data modeling, ETL processes, and data governance practices.
- Ability to clean, validate, transform, and analyze large datasets.
- Ability to communicate technical findings through compelling narratives, visualizations, and executive presentations.
- Familiarity with cloud-based data platforms and enterprise systems such as Microsoft Fabric, Azure SQL, Salesforce, or Dataverse.
- Experience supporting enterprise GIS administration, data standards, and organizational data management initiatives.
- Strong written, verbal, and presentation communication skills with the ability to communicate technical concepts to diverse audiences.