Min 6 Max 10
Primary Location
India Region-India-Tamil Nadu-Chennai
Shift Day
Job Description
Job summary
The GeoSpatial Sr. Analyst MAP role involves leveraging expertise in Synon CLLE SQLRPGLE and RPGLE to analyze and interpret geospatial data. The candidate will work in a hybrid model primarily during the day shift with no travel required. This position requires 6 to 10 years of experience focusing on delivering impactful geospatial solutions that align with the companys objectives and societal impact.
Responsibilities
Develop and enhance AS400 projects
Lead the projects Develop and enhance AS400 projects provide KT sessions and trainings prepare HDD/LDD code test and get approvals.
- Analyze complex geospatial data using Synon CLLE SQLRPGLE and RPGLE to provide actionable insights.
- Collaborate with cross-functional teams to integrate geospatial data into existing systems.
- Develop and maintain geospatial databases to ensure data accuracy and accessibility.
- Design and implement geospatial models to support business decision-making processes.
- Provide technical expertise in geospatial analysis to enhance project outcomes.
- Ensure data quality and integrity through rigorous testing and validation processes.
- Optimize geospatial data processing workflows to improve efficiency and performance.
- Conduct regular reviews of geospatial data to identify trends and patterns.
- Support the development of geospatial strategies that align with organizational goals.
- Communicate complex geospatial concepts to non-technical stakeholders effectively.
- Stay updated with the latest advancements in geospatial technologies and methodologies.
- Contribute to the continuous improvement of geospatial analysis practices within the organization.
- Collaborate with IT teams to ensure seamless integration of geospatial tools and technologies.
Qualifications
- Possess strong analytical skills with experience in Synon CLLE SQLRPGLE and RPGLE.
- Demonstrate proficiency in geospatial data analysis and interpretation.
- Exhibit excellent problem-solving abilities and attention to detail.
- Have a solid understanding of geospatial databases and data management.
- Show capability in developing geospatial models and workflows.
- Be adept at communicating technical information to diverse audiences.
- Maintain a proactive approach to learning and applying new geospatial technologies.
