Do you have a strong analytical foundation and a proven ability to turn complex data into practical solutions?
Key Responsibilities
Work directly with customers to understand business objectives, workflows, and analytical requirements
Design and implement ArcGIS-centered solutions using ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, ArcGIS Knowledge, Business Analyst, GeoAnalytics, and related capabilities
Apply spatial statistics, machine learning, forecasting, graph analytics, network analysis, market analysis, and other advanced analytical methods to solve customer problems
Configure and extend ArcGIS capabilities through Python, notebooks, APIs, and custom applications
Develop data processing pipelines and analytical workflows that integrate spatial and nonspatial data from a variety of sources
Build reusable tools, applications, and solution accelerators that help customers operationalize analytical results
Create maps, dashboards, reports, and visualizations that communicate findings and support decision-making
Collaborate with GIS professionals, data engineers, software developers, solution architects, and project managers to deliver successful customer outcomes
Evaluate emerging analytical techniques and technologies and apply them appropriately within ArcGIS-based solutions
Requirements
2+ years of professional experience in data science, analytics, GIS, or a related technical field
Strong foundation in statistics, mathematics, and analytical problem solving
Experience developing analytical workflows using Python
Experience working with ArcGIS software or other geospatial technologies
Experience preparing, analyzing, and visualizing real-world datasets
Ability to communicate technical concepts and analytical findings to technical and nontechnical audiences
Ability to work effectively with customers and cross-functional project teams
Bachelor's degree in data science, statistics, mathematics, computer science, geography, economics, engineering, or a related quantitative field
Master's degree in mathematics, statistics, computer science, physics, or a STEM related field
Experience with one or more of the following: ArcGIS Pro, ArcGIS Enterprise, ArcGIS Online, ArcGIS Knowledge, GeoAnalytics, Business Analyst, Spatial Analyst, Network Analyst, or related ArcGIS technologies Spatial statistics and geospatial analytics Time series analysis and forecasting Market, demographic, and customer analytics Graph analytics, knowledge graphs, or network science Big data and distributed analytics Cloud-native analytics platforms Custom application development, automation, and APIs Deep learning, computer vision, generative AI, or large language models
Benefits & Perks
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.