Competitive Intelligence Analyst

Overview

You bring deep knowledge of GIS technology and enterprise technology vendors, along with the curiosity to understand why companies and businesses make the choices they do. You enjoy evaluating offerings, architectures, positioning, and intentions in the context of technical, geopolitical, and industry shifts. You can turn complex findings into timely, actionable guidance that strengthens product strategy and sales execution. We welcome you to join Esri, where you will move between hands-on technical analysis, strategic synthesis, and executive communication to help teams understand the competitive landscape clearly and in context. 

Responsibilities

• Meaningfully define intelligence questions and desired outcomes with stakeholders to then translate these into clear application of research methods, including documentation of sources and confidence intervals, and differentiation of evidence from interpretation


• Translate technical findings into clear competitive implications and decision-ready insights that differentiate ArcGIS value, risks, opportunities, and recommended actions for teams across the company


• Configure and leverage AI agents and other methods to monitor assigned products, platforms, partnerships, roadmaps, positioning, and go-to-market activities, assessing how technical, geopolitical, and industry shifts may affect 3^rd party strategies, customer expectations, and Esri product and sales priorities


• Create and deliver practical enablement assets such as technical battlecards, demonstrations, architecture and workflow comparisons, executive briefings, reports, presentations, and field-ready talking points to stakeholders, as well as reusable research, technical artifacts, and lessons learned to your team’s shared intelligence systems and operating practices


• Conduct technical evaluations of adjacent technologies including architecture reviews, integration analysis, and comparison of capabilities, limitations, and tradeoffs, while observing our legal and ethical obligations


• Present evidence-based findings to technical and non-technical audiences, adapting the level of detail to the decision at hand and serving as a trusted advisor on assigned companies, technologies, industries, and ArcGIS capabilities

Requirements

• 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, 3^rd party, customer, or product information and translate findings into actionable recommendations


• Strong analytical judgment, intellectual curiosity, and the 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


• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Experience in solution engineering, technical consulting, GIS architecture, implementation, customer success, or another role requiring 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 with adjacent technologies such as data science, imagery, 3D, autonomous systems, or developer platforms


• Programming or scripting experience with Python, JavaScript, REST APIs, or notebooks used for technical evaluation and automation


• Experience conducting competitive, market, or technical intelligence, including capability benchmarking, win/loss analysis, scenario analysis, or similar methods


• Experience evaluating enterprise technology architectures, integrations, deployment models, security considerations, and technical tradeoffs

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