GIS & Data Analytics Manager

In A Nutshell Location

Hybrid Atlanta, GA, United States

Job Type

Full-time

Experience Level

Mid-level

Deadline to apply

September 18, 2026

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. Apply Now Spot any inaccurate information? Have a job to share? Let us know.