Gather, clean, and manage relevant data from various internal and external sources. Develop and maintain efficient data pipelines and ETL processes to ensure data integrity and availability. Implement data scraping methods to collect data from various sources relevant to governance and data tooling Integrate external data with internal datasets to enhance analysis and provide comprehensive insights. Validate data and process it to given formats Transform and Embed data into A-usable formats Document data analysis processes, methodologies, and findings. Maintain clear and comprehensive records of data sources, tools, and techniques used.

This is a remote position Frontend Development (70%): Design, implement, and optimize our web applications with a focus on highly customized data visualization for maximum speed, scalability, and maintainability. Autonomous Operation: Proactively identify issues and inefficiencies in the frontend stack, and take the initiative to address them without extensive oversight. Collaboration: Work cross-functionally with UI/UX designers, data scientists, and other engineers to achieve elegant solutions. Provide technical guidance and educate team members on best practices. Code Reviews: Regularly participate in code review sessions, ensuring code quality and sharing knowledge with the team.