Job summary
The GeoSpatial Sr. Analyst MAP will be responsible for leveraging geospatial data to provide insights and solutions that align with business objectives. With a focus on manual testing and Tosca the role requires a deep understanding of geospatial technologies and methodologies. The candidate will work in a hybrid model ensuring seamless integration of geospatial data into various business processes enhancing decision-making and operational efficiency.
Responsibilities
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Conduct comprehensive geospatial data analysis to support business objectives and decision-making processes.
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Develop and implement manual testing strategies to ensure the accuracy and reliability of geospatial data outputs.
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Utilize Tosca to automate testing processes enhancing efficiency and reducing the potential for human error.
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Collaborate with cross-functional teams to integrate geospatial insights into broader business strategies.
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Provide detailed reports and visualizations of geospatial data to stakeholders facilitating informed decision-making.
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Ensure data integrity and accuracy through rigorous testing and validation processes.
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Stay updated with the latest geospatial technologies and methodologies to continuously improve data analysis processes.
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Identify opportunities for process improvements and implement solutions to enhance data analysis efficiency.
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Support the development and maintenance of geospatial databases ensuring data is current and accessible.
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Communicate complex geospatial concepts to non-technical stakeholders in a clear and concise manner.
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Work closely with IT teams to ensure seamless integration of geospatial tools and technologies.
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Monitor and evaluate the performance of geospatial systems making recommendations for enhancements as needed.
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Provide training and support to junior analysts fostering a culture of continuous learning and improvement.
Qualifications
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Possess a strong background in manual testing with a focus on geospatial data.
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Demonstrate proficiency in using Tosca for automated testing processes.
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Have a solid understanding of geospatial technologies and methodologies.
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Exhibit excellent analytical and problem-solving skills.
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Show ability to communicate complex technical concepts to non-technical audiences.
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Display experience in working within a hybrid work model.
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Hold a bachelors degree in Geography Computer Science or a related field.