Responsibilities:

Data Analysis and Management

• Conduct advanced spatial data analysis using GIS software (ArcGIS, QGIS) to derive meaningful insights.
• Manage, manipulate, and analyze large geospatial datasets to produce high-quality maps and actionable reports.
• Ensure data accuracy and integrity through rigorous quality control measures and regular audits.

Programming and Automation

• Develop and implement Python scripts for data processing, analysis, and automation, with proficiency in SQL for querying and managing databases.
• Apply machine learning and AI techniques, including Generative AI, to enhance data accuracy and predictive capabilities in GIS applications.

Visualization and Reporting

• Create compelling visualizations and interactive dashboards using Tableau, PowerBI, Matplotlib, and Seaborn to communicate complex spatial insights effectively.
• Leverage advanced Excel for data manipulation and reporting.
• Develop and maintain high-quality maps to support stakeholder presentations and decision-making.

Process Efficiency and Development

• Design and implement efficient data analysis workflows to optimize processing and analysis tasks.
• Translate process efficiency concepts into development strategies, achieving significant time and effort savings.
• Continuously evaluate and enhance workflows to improve performance and scalability.

Tool and Application Development

• Develop custom GIS tools and applications to address diverse business requirements.
• Utilize FME (Feature Manipulation Engine) for advanced data transformation and integration tasks (knowledge preferred).
• Deploy AWS cloud services (e.g., S3, Redshift, Lambda) for scalable data storage, processing, and analytics.

Collaboration and Support

• Collaborate with cross-functional teams to translate data insights into strategic business solutions.
• Provide technical support and training to team members on GIS tools, visualization platforms, and data analysis methodologies.
• Contribute to team and company objectives aligned with Business goals.

Continuous Learning

• Stay updated on the latest advancements in GIS, data science, machine learning, Generative AI, and visualization technologies.

Qualifications:

• Bachelor’s or master’s degree in Geography, GIS, Data Science, Computer Science, or a related field.
• Minimum 5+ years of experience in a GIS or data analysis role.
• Advanced proficiency in ArcGIS and QGIS software.
• Strong programming skills in Python and proficiency in SQL.
• Proven expertise in data visualization and reporting using Tableau, PowerBI, Matplotlib, Seaborn, and advanced Excel.
• Hands-on experience with AWS services for data management and analytics.
• Familiarity with machine learning, AI, and Generative AI applications in GIS environments.
• Knowledge of FME (Feature Manipulation Engine) is an advantage.
• Exceptional analytical, problem-solving, and decision-making skills.
• Excellent communication, collaboration, and teamwork abilities.
• Ability to work independently, prioritize tasks, and manage multiple projects in a fast-paced environment.

Work location - Remote

HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.