Description:
As a Senior Geospatial Analyst supporting the Hunt vertical, you will play a critical role in ensuring that Hunt-related geospatial content moves reliably through onX systems and into customers’ hands. You will collaborate closely with Hunt Product Managers, a Geospatial Project Manager, as well as with developers, and designers, to execute geospatial work that supports the Hunt product roadmap.
This role is focused on implementation and delivery. You will apply strong technical judgment to build, maintain, and validate geospatial datasets and pipelines that are performant, scalable, and trustworthy.
This role lives within the Content domain, which is responsible for cartography, data processing, data analysis, and data sourcing across onX. You will be part of a broader team of Geospatial Analysts, Geospatial Project Managers, and Engineers supporting multiple verticals across the organization.
This is a unique opportunity to lead mapping innovation at a company passionate about outdoor recreation and technical excellence. This position reports to the Senior Manager, Geospatial. As an onX Senior Geospatial Analyst, your essential job duties and responsibilities will look like:
- Serve as the Senior Geospatial Analyst supporting the Hunt vertical, owning the technical approach, sequencing, and delivery of geospatial work defined by the Geospatial Project Manager/Subject-Matter Expert.
- Execute geospatial work that supports connected content initiatives by implementing datasets and workflows that enable Hunt content to be used consistently across multiple product features and experiences.
- Support content trust initiatives by executing audits, refreshes, and cleanup of high-impact Hunt datasets, applying technical judgement to ensure content is accurate, maintainable, and fit for long-term use, including identifying candidates for update, replacement, or retirement.
- Leverage existing geospatial pipelines and contribute to the improvement and development of new processes as needed, ensuring reliable delivery of data from source systems into customer-facing products and services.
- Lead complex geospatial processing and analysis such as multi-source data integration, conflation, and large-scale QA/QC, applying expert judgment to resolve ambiguity and edge cases.
- Use Claude Code and other AI tools to generate, optimize, and automate geospatial workflows, including feature extraction, segmentation, classification, conflation, and QA.
- Proactively identify data quality risks, pipeline gaps, or platform limitations and surface recommendations to the Hunt PM/SME and Geospatial Manager.
- Partner closely with engineers to ensure geospatial solutions are performant, maintainable, and aligned with platform best practices.
- Own the end-to-end execution quality of assigned initiatives, from intake through production release and post-launch validation.
- Use version control (Git) and collaborative workflows to drive consistency and repeatability across the broader Geospatial team.
- Provide technical guidance and informal mentorship to other Geospatial Analysts as needed.
- Communicate clearly and confidently about technical decisions, risks, and progress to cross-functional partners.
- Other ad hoc duties as assigned by the Supervisor.
What You’ll Bring
- Bachelor’s degree in Geospatial, Geospatial Engineering, Computer Science, Hydrology, Geography, or related field; or equivalent technical experience.
- 8+ years of geospatial industry experience, including dataset sourcing, development, transformation, and deployment.
- Expert-level proficiency in QGIS and advanced geoprocessing techniques.
- Expert with SQL, cloud-based analytical databases (e.g., BigQuery), PostGIS, spatial indexing, and performance optimization.
- Strong Python skills, including experience with GDAL, geopandas, PyQGIS, and automation frameworks.
- Demonstrated ability to operate within complex spatial data pipelines, using version control (Git), and collaborative workflows to deliver reliable, maintainable solutions.
- Proven ability to use Claude Code or other AI coding assistants to generate scripts, automate tasks, and accelerate spatial workflows.
- Familiarity with outdoor recreation datasets such as wildlife management units, access areas, land ownership, regulations, or other location-based content used in hunting and land-access contexts.
- Proven ability to work autonomously on complex, ill-defined projects, bringing structure, clarity, and execution rigor to ambiguous problem spaces.
- Ability to clearly communicate technical concepts to non-technical partners.