Senior Geospatial Data Analyst – Databricks, Oracle & SQL at Iconma Portal
Blaine, Minnesota, United States — internship
Our client, a IT Services and Consulting company, is looking for a Senior Geospatial Data Analyst – Databricks, Oracle & SQL for their Blaine, MN/ Pheasant, NE/ Hybrid location.
Responsibilities:
GeoSpatial Analyst MAP will design and optimize advanced geospatial data solutions using Databricks, Oracle database, and SQL within a hybrid work environment.
The role involves developing robust spatial analytics pipelines, ensuring data accuracy across complex datasets, and delivering actionable insights that guide business decisions.
The analyst will collaborate with cross functional teams to transform location based data into strategic value for the organization and broader communities.
Design and maintain scalable geospatial data pipelines in Databricks that integrate diverse spatial and non spatial datasets to support analytics initiatives and operational reporting.
Develop optimized SQL queries and spatial procedures in Oracle database environments to ensure accurate retrieval, transformation, and aggregation of complex geospatial information.
Analyze large volumes of map centric data to uncover spatial trends patterns and correlations that directly inform strategic planning and resource allocation for the organization.
Create clear and precise geospatial visualizations and map based dashboards that help stakeholders quickly understand location based insights and make informed decisions.
Collaborate with data engineers data scientists and business analysts to define data models for geospatial assets ensuring compatibility with existing enterprise database standards.
Implement rigorous data quality checks and validation rules for geospatial layers and reference datasets to maintain high confidence in analytical outputs used by internal and external partners.
Document geospatial data dictionaries processing logic and analytical methodologies so that teams can reliably reuse workflows and maintain continuity in long term projects.
Provide expert guidance on geospatial data governance including coordinate reference systems metadata conventions and data retention practices to align with company policies.
Evaluate new tools libraries and techniques for geospatial analysis in Databricks and related ecosystems to continuously improve performance scalability and feature depth of solutions.
Coordinate with infrastructure and platform teams to tune Databricks