In A Nutshell
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.
Responsibilities
GIS & Spatial Analytics
- Manage and maintain Atlanta Beltline’s enterprise GIS datasets, geodatabases, feature services, and metadata.
- Develop, maintain, and improve organization-wide GIS standards, templates, symbology, and data governance practices.
- Perform advanced spatial analyses to support planning, economic development, housing, transit, and community engagement.
- Coordinate and manage external vendors and contractors supporting GIS, spatial data, and related analytical projects, including project coordination, deliverables, timelines, and quality assurance.
Data Analytics & Automation
- Analyze large, complex datasets using Python, R, SQL, Excel, and other analytical tools to identify trends, patterns, and opportunities.
- Develop automated workflows for data collection, cleaning, transformation, validation, and reporting.
- Support enterprise data management efforts, including data quality assurance, documentation, and governance.
- Develop scripts, queries, and processes that improve efficiency and reduce manual reporting.
Dashboards & Visualization
- Design, develop, and maintain enterprise dashboards, reports, and analytical applications
- Translate complex analyses into clear visualizations and recommendations for diverse audiences.
- Create data products that support transparency, performance measurement, and decision-making.
Organizational Support
- Partner with departments to understand business needs and recommend analytical approaches.
- Prioritize, manage, and deliver analytical services that support organizational priorities.
- Serve as an internal consultant, helping departments frame analytical questions, identify appropriate methodologies, and interpret findings to support decision-making
Skillset
- 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 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.
Competencies
- Strong written, verbal, and presentation communication skills with the ability to communicate technical concepts to diverse audiences.
- Excellent organizational, project management, and time management skills with the ability to manage multiple priorities and deadlines.
- Ability to build collaborative relationships across departments and with external partners.
- Strong customer service orientation with a commitment to understanding stakeholder needs and delivering high-quality analytical support.
- Ability to think strategically while maintaining strong attention to detail.
- Demonstrated initiative, ownership, and commitment to excellence, with a proactive approach to identifying opportunities, solving problems, and delivering high-quality work.
- Ability to work independently while contributing effectively within a collaborative team environment.
- Commitment to continuous learning and staying current on emerging GIS, data analytics, and business intelligence technologies.
- Demonstrated integrity, professionalism, and sound judgment in handling sensitive information.
Education & Experience
- Bachelor’s degree in a relevant field or an equivalent combination of education, technical training, and progressively responsible professional experience demonstrating the knowledge, skills, and competencies required for the position.
- Five or more years of progressively responsible experience in GIS, spatial analysis, data analytics, business intelligence, or a related field.
- Demonstrated experience working with enterprise GIS environments.
- Experience programming in Python and/or R.
- Experience writing SQL queries and working with relational databases.
- Experience building dashboards using Power BI, Tableau, or ArcGIS Dashboards.
- Experience analyzing large and complex datasets.
