Geospatial Data Delivery Analyst

Role & responsibilities

Job Summary:

Geospatial Data Delivery Analyst

Key Responsibilities:

• Manage and execute scheduled geospatial data deliveries to customers, including both automated and manual processes.
• Perform quality assurance (QA) checks on automated data outputs to ensure accuracy and consistency.
• Follow well-documented procedures for manual data delivery, ensuring timelines and data integrity are met.
• Work with various geospatial data types, ensuring appropriate handling, transformation, and formatting as per client requirements.
• Utilize

  FME (Feature Manipulation Engine)

  for geospatial data transformation and workflow automation.
• Communicate effectively with internal teams and external customers regarding data delivery schedules, issues, and resolutions.
• Identify and troubleshoot errors or inconsistencies in geospatial datasets and escalate when necessary.
• Contribute to process improvement by documenting issues, suggesting optimizations, and supporting automation initiatives.

Required Qualifications & Skills:

• Bachelors degree in GIS, Geography, Computer Science, or a related field (or equivalent practical experience).
• Proven experience with

  FME

  and working with

  geospatial data types

  (e.g., shapefiles, GeoJSON, raster data).
• Strong

  analytical skills

  with a meticulous approach to data QA and validation.

• Excellent communication skills

  , both written and verbal, to coordinate across teams and with clients.
• Ability to follow structured processes while also identifying opportunities for automation and efficiency.

Preferred Skills (Nice to Have):

• Familiarity with GIS platforms such as ArcGIS or QGIS.
• Experience with scripting or automation tools (e.g., Python, SQL) in a data processing context.
• Understanding of data delivery workflows in cloud or enterprise environments.

Why Join Us?

• Work on impactful projects that support clients with critical geospatial data.
• Join a collaborative and forward-thinking team.
• Opportunity to grow with cutting-edge tools in geospatial data automation and delivery.