Geographical Information Systems GIS Imagery Analyst Job at The Wonderful Company, Shafter, CA

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  • The Wonderful Company
  • Shafter, CA

Job Description

Wonderful Orchards is seeking a GIS Analyst with strong imagery analysis skills to support our Shafter Ca corporate agricultural operations. The GIS Analyst will support projects by analyzing and interpreting spatial and remote sensing data to produce meaningful visualizations and actionable insights. The role requires expertise in Geographic Information Systems (GIS) and image analysis tools to derive solutions for projects ranging from landuse and water planning to environmental monitoring. Work will be conducted with a variety of operational research and development and administrative departments across the organization.

Key Responsibilities:

  • Perform advanced spatial analysis using GIS software (e.g. ArcGIS QGIS).
  • Process and analyze remote sensing imagery (satellite aerial and drone) to identify patterns changes and anomalies.
  • Generate and maintain GIS datasets maps and reports to support project goals.
  • Conduct image classification feature extraction and change detection using tools such as ArcGIS Image Analyst ENVI or similar software.
  • Develop scripts or workflows to automate geospatial processes (e.g. Python ArcPy R or other relevant tools).
  • Collaborate with crossfunctional teams to interpret project requirements and deliver geospatial solutions.
  • Assist with the integration of geospatial data into web platforms dashboards and reports.
  • Ensure data quality and accuracy through QA/QC procedures.

Qualifications :

  • Bachelors degree in Geography Geospatial Science Remote Sensing Environmental Science or related field. A Masters degree is a plus.
  • 4 years of experience working in GIS and remote sensing/image analysis.
  • Proficiency with GIS software (e.g. ArcGIS Pro QGIS) and remote sensing tools (e.g. ENVI ERDAS IMAGINE ArcGIS Image Analyst).
  • Strong understanding of remote sensing principles including multispectral hyperspectral imagery.
  • Experience with image classification methods (supervised/unsupervised) feature extraction and NDVI/vegetation analysis.
  • Knowledge of scripting/programming languages for geospatial automation (e.g. Python ArcPy GDAL).
  • Ability to work with various spatial data formats (vector raster) and coordinate systems.
  • Excellent problemsolving skills and attention to detail.
  • Strong written and verbal communication skills.
  • Experience working with UAV/drone imagery.
  • Part 107 Commercial drone pilot license.

Pay Range: $100000 $120000 and may include a discretionary bonus. Final compensation will be dependent upon skills & experience. 

Additional Information :

Why chose Wonderful

Wonderful Nurseries and Wonderful Orchards are part of The Wonderful Company a privately held $5 billion company which also has other No. 1 brands such as Wonderful Pistachios FIJI Water Wonderful Halos JUSTIN Wine and Teleflora. To learn more about The Wonderful Company visit  or follow us on Facebook  Twitter and  Instagram. To view the current Corporate Social Responsibility report visit /csr.

  • We nourish naturally We believe that what you put into your body matters. The most nutritious and besttasting foods are those from nature.
  • We play to win Our employees set ambitious goals and meet challenges with unified purpose and unmatched energy.
  • We act differently With courage and fearlessness we are relentless in our quest to inspire healthier. food and beverage choices. As a privately held organization we have the freedom and the power to make quick and effective decisions.

Wonderful Orchards and The Wonderful Company is an Equal Opportunity Employer and with opportunities for advancement. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability age protected veteran status or other protected categories.

EEO is the law click here for more information

Remote Work :

No

Employment Type :

Fulltime

Job Tags

Full time, Remote job,

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