Competitive Intelligence Analyst

Esri•Vienna, VA

1d•$73,528 - $118,976•Onsite

About The Position

Esri is seeking a Competitive Intelligence Analyst to use knowledge of GIS and enterprise technology vendors to evaluate competitors’ offerings, architectures, positioning, and strategies in the context of technical, geopolitical, and industry changes. The role combines hands-on technical analysis, strategic synthesis, and executive communication to help teams understand the competitive landscape and make informed decisions. The analyst will define research questions with stakeholders, apply structured research methods, and distinguish evidence from interpretation. They will assess adjacent technologies and third-party strategies, translate findings into actionable implications for ArcGIS product strategy and sales execution, and create practical enablement materials for technical, executive, and field audiences. The role requires managing multiple research priorities, communicating findings clearly, and observing legal and ethical obligations. The position is onsite; visa sponsorship is unavailable, and applicants must be authorized to work for any U.S. employer.

Requirements

At least 2 years of professional experience using Esri or similar enterprise geospatial technology to create maps, perform spatial analysis, configure web applications, or support enterprise GIS workflows.
Ability to apply structured analysis to technical, market, third-party, customer, or product information and translate findings into actionable recommendations.
Strong analytical judgment, intellectual curiosity, and ability to quickly develop domain knowledge across geospatial and adjacent technology markets.
Ability to explain complex technical topics clearly through written analysis, visual comparisons, presentations, and discussions with technical and executive audiences.
Ability to independently manage multiple research priorities against deadlines, collaborate with stakeholders across functions, and form sound recommendations when competitive information is incomplete or evolving.
Bachelor’s degree in GIS, geography, computer science, engineering, information systems, business, or a related field.
Authorization to work for any employer in the United States; visa sponsorship is not available.

Nice To Haves

Experience in solution engineering, technical consulting, GIS architecture, implementation, customer success, or another role involving the design and communication of technical solutions.
Experience with ArcGIS Enterprise, ArcGIS Online, ArcGIS Pro, geodatabases, web GIS, and common enterprise integration patterns.
Experience with cloud platforms such as Microsoft Azure or AWS and adjacent technologies such as data science, imagery, 3D, autonomous systems, or developer platforms.
Programming or scripting experience with Python, JavaScript, REST APIs, or notebooks for technical evaluation and automation.
Experience conducting competitive, market, or technical intelligence, including capability benchmarking, win/loss analysis, or scenario analysis.
Experience evaluating enterprise technology architectures, integrations, deployment models, security considerations, and technical tradeoffs.

Responsibilities

Define intelligence questions and desired outcomes with stakeholders, then select and document research methods, sources, and confidence intervals while distinguishing evidence from interpretation.
Translate technical findings into competitive implications and decision-ready insights about ArcGIS value, risks, opportunities, and recommended actions for teams across the company.
Configure and use AI agents and other methods to monitor assigned products, platforms, partnerships, roadmaps, positioning, and go-to-market activities; assess how technical, geopolitical, and industry shifts may affect third-party strategies, customer expectations, and Esri product and sales priorities.
Create and deliver enablement assets, including technical battlecards, demonstrations, architecture and workflow comparisons, executive briefings, reports, presentations, and field-ready talking points.
Contribute reusable research, technical artifacts, and lessons learned to shared intelligence systems and team practices.
Conduct technical evaluations of adjacent technologies, including architecture reviews, integration analysis, and comparisons of capabilities, limitations, and tradeoffs, while observing legal and ethical obligations.
Present evidence-based findings to technical and non-technical audiences, adapting detail to the decision at hand and serving as a trusted advisor on assigned companies, technologies, industries, and ArcGIS capabilities.