What are the responsibilities and job description for the Geospatial Analyst I position at GeoSearch?
GeoSearch is seeking a Geospatial Analyst in Moscow, Idaho. Candidates should be motivated individuals experienced in the collection, processing, and analysis of a diverse array of data types and basic programming languages (Python). Interpretation and analysis of imagery and remote sensing data, as well as the graphical presentation of geospatial data and statistical comparisons, are at the core of this position. From the collection of field data to forest growth projections, this position works across a suite of natural resource fields with dynamic metrics to achieve client goals. Being adept with ArcGIS/QGIS platforms and delivery/hosting of large datasets in online and cloud-based environments is a must. This position will additionally provide training to other staff on the use of geospatial tools and data interpretation to help identify prospective analysts and increase their knowledge of geospatial processing throughout the company. Communication and innovation at every level are encouraged.
Duties Include:
- Research and develop additive services in areas of remote sensing, including but not limited to Lidar, Imagery Recognition, GIS, computer hardware, and software.
- Ability to spend up to two (2) weeks in the field at a time with minimal supervision collecting geospatial field data anywhere in the continental USA.
- Create, analyze, and maintain a high standard of GIS deliverables to clients and internal company services.
- Deploy and maintain client-facing ESRI products via ArcGIS Online or ESRI Enterprise. Participate as a team member on the technical services team to continually improve the quality and efficiency of products, as well as train other staff to increase general knowledge and use of remote sensing, data dashboards, spatial datasets, and ArcGIS/QGIS products.
- Continue to expand the technical services network through targeted participation in promotional activities related to remote sensing and GIS.
- Represent our remote sensing team in public forums through presentations, workshops and leadership of work-related efforts
Minimum Qualifications:
- Bachelor's degree in Geospatial Information Systems, Remote Sensing, Computer Science, Statistics, Engineering, or a related field with applied research in the natural environment, and 2 years’ experience in GIS analytics related to natural resources.
- Highly skilled with ArcGIS/QGIS and Microsoft Office.
- Ability to manipulate, map, and model aspects of geospatial data sets. Ability to create and statistically interpret complex data and data models.
- Demonstrated experience in remote sensing data, data structures, geodatabases, and statistical modeling.
- Demonstrated ability to work with ESRI based visual tools: Dashboards, Experience Builder, Story maps, etc.
- Experience in fieldwork to support remote sensing products.
Preferred Qualifications:
- Master of Science or Doctoral degree in Remote Sensing, Statistics, Engineering, Natural Resources.
- Experience with SQL/PostgreSQL database hosting, queries, and management.
- Applied skills in one or more programming languages (Python, R etc.)
- Expertise with lidar technologies either aerial or terrestrial, and/or drone data acquisition.
- Experience in forest growth modeling and biometrics.
- Publication experience relating to scientific literature associated with natural resource or environmental objectives.
- Ability to organize and perform publication-quality literature review by objectively analyzing research publications and using citation tools such as Mendeley, Zotoro, OneNote, etc.
Benefits:
- Paid holidays, vacation, and sick leave
- Healthcare and Health Reimbursement Plan (HRA)
- Disability Plan
- 401(k) retirement plan with company contribution
