Geospatial Information Officer

The Geospatial Information Officer is responsible for geospatial data analysis, development and implementation of geospatial databases and analytics, and creating data visualizations to support data-driven decision-making. The role involves collaboration with data engineers and scientists to improve data quality and analytics processes.

Responsibilities

• Locate and define new geospatial data analysis process improvement opportunities.
• Identify appropriate geospatial data sources (including open data and big data) for analytics projects.
• Collaborate with data engineers and data scientists to improve data flows, data quality, etc.
• Develop and implement geospatial databases, geospatial data collection systems, geospatial data analytics and other strategies that optimize statistical efficiency and quality.
• Perform and document methods, processes and quality assurances of programmed outputs.
• Identify, analyze, and interpret trends or patterns, using basic machine learning techniques, statistical methods to identify relevant features and variables in structured and unstructured sources of information and data.
• Develop and implement various analysis, reporting and quality control capabilities.
• Create online databases, dynamic web maps and visualization dashboards.
• Collect and analyze data to identify trends or patterns and provide insights through graphs, charts, tables and reports using data visualization methods to enable data-driven planning, decision-making, presentation and reporting.
• Perform other related duties as required.

Requirements

• Advanced university degree (Master’s degree or equivalent) in geoinformatics (geomatics), geospatial information, Earth sciences, remote sensing or other related geoscience field.
• A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree.
• Successful completion of both degree and non-degree programs in data analytics, business analytics or data science programs is an advantage.
• A minimum of five years of progressively responsible experience in geospatial information management, applied spatial analytics, earth observations, mapping, applications development, data visualization or related area is required.
• Knowledge of data analysis life cycle from ingest and wrangling to analysis and visualization to present findings.
• Knowledge of best practices and IT operations in an always-up, always-available service.
• Knowledge of Agile Software Development methodologies.
• Strong analytic skills related to working with unstructured datasets.
• Ability in managing and communicating data warehouse plans to internal clients.
• Excellent problem solving and troubleshooting skills.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Ability to oversee and quality-check work completed by other team members.
• Ability to direct and guide teams.
• Process oriented with great documentation skills.
• Ability to convey complex / difficult data science topics to clients in a relatable manner.
• Ability to apply judgment in the context of assignments given, plan own work and manage conflicting priorities.
• Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work.
• English required at UN Level II proficiency.
• French desirable at UN Level II proficiency.

Skills

• Geospatial Information Management
• Applied Spatial Analytics
• Earth Observations
• Mapping
• Application Development
• Data Visualization
• Data Analysis Life Cycle
• IT Operations
• Agile Development
• Unstructured Data Analysis
• Data Warehouse Management
• Problem Solving
• Technical Troubleshooting
• Message Queuing
• Stream Processing
• Big Data Stores
• Team Leadership
• Documentation
• Data Science Communication
• Gender Mainstreaming

Languages

English, French