Senior Geospatial Data Analyst – Databricks, Oracle & SQL

Iconma Portal; Blaine (MN); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Iconma Portal is seeking a Senior Geospatial Data Analyst skilled in Databricks, Oracle and SQL to design and optimize geospatial data solutions in a hybrid Blaine, MN workspace. You will build robust analytical pipelines, ensure data accuracy across complex datasets, and deliver actionable insights for business decisions.

You will collaborate with data engineers, data scientists and business analysts to model geospatial assets and create clear map-based visualizations for stakeholders.

Qualifications

• 10–14 years of experience in geospatial data analytics.
• Extensive Databricks experience with notebooks, jobs and cluster optimization.
• Deep Oracle database administration and development experience.
• Strong SQL skills including window functions and spatial queries.

Responsibilities

• Design and optimize geospatial data solutions using Databricks, Oracle & SQL in a hybrid environment.
• Develop robust spatial analytics pipelines ensuring data accuracy across datasets.
• Create geospatial visualizations and dashboards for location-based insights.
• Collaborate with data engineers, data scientists and analysts to model geospatial assets.

Skills

Databricks

Oracle

SQL

Geospatial analysis

Tools

Databricks notebooks

Oracle database

SQL tooling

Job description

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 clusters and Oracle database configurations so geospatial workloads run efficiently under varying data volumes.
• Support business teams by translating complex geospatial findings into concise recommendations that highlight operational efficiencies risk reduction opportunities and customer experience improvements.
• Contribute to the company purpose by using location intelligence to enhance service accessibility optimize environmental impact and support responsible growth in the communities served.
• Mentor junior analysts on best practices in geospatial analysis SQL coding standards and database design principles helping build a strong internal capability in spatial analytics.

Requirements:

• Experience: 10to14Yrs
• Required Skills: Oracle, Database and SQL, Databricks
• Possess extensive experience working with Databricks including building notebooks managing jobs and optimizing cluster usage for heavy geospatial data processing workloads.
• Hold deep expertise in Oracle database administration and development with proven ability to design tables indexes and spatial extensions that support complex analytic queries.
• Demonstrate strong proficiency in SQL covering query optimization window functions and spatial query constructs to efficiently handle large relational datasets.
• Bring solid knowledge of general database concepts such as normalization transaction management and performance tuning to maintain reliable and high performing data systems.
• Exhibit practical understanding of geospatial concepts including projecti