Note: The job is a remote job and is open to candidates in USA. Themesoft Inc. is seeking a Geospatial Data Analyst MAP to design and optimize advanced geospatial data solutions using Databricks, Oracle, and SQL. The role develops spatial analytics pipelines, analyzes map-centric data, creates geospatial visualizations, ensures data quality, and translates location-based insights into strategic recommendations.
Responsibilities
- 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
Skills
- 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 projections topology and spatial joins enabling accurate integration and analysis of diverse location based sources
- Display comfort working standard day shifts with flexibility to coordinate across regions when necessary while maintaining consistent delivery on project milestones
- Apply analytical and problem solving skills gained from at least ten years of professional experience to design robust solutions and troubleshoot complex data challenges
- Applicants must be legally authorized to work in the United States
- Prefer prior exposure to enterprise scale data platforms and cloud based analytics environments which strengthens ability to integrate geospatial workloads with broader data ecosystems
Company Overview