Junior Data Systems Analyst

• Design, build, and iterate on user-facing application features using React and TypeScript within the Palantir Foundry ecosystem
• Apply creative design thinking to develop intuitive interfaces and data visualisations that translate complex datasets into clear, actionable insights
• Collaborate with cross-functional teams to gather requirements and deliver solutions that meet end-user needs
• Support the collection, processing, and integration of large datasets from multiple sources
• Contribute to data pipeline development, ensuring accuracy, consistency, and reliability across platforms
• Participate in data governance and quality assurance processes in line with established standards
• Contribute to ongoing data and analytics projects across their full lifecycle, from discovery through to delivery
• Assist in the development and implementation of data-driven solutions to address business challenges
• Communicate findings and recommendations to stakeholders in a clear and structured manner
• Build practical expertise in React, TypeScript, Python, and PySpark within a Palantir Foundry environment
• Apply and develop best practices in data engineering, visualisation, and business intelligence
• Engage with mentorship and guidance from senior members of the team

• A bachelor's or master's degree in computer science, Data Science, Statistics, Information Systems, or a related discipline, or equivalent demonstrable experience
• Foundational experience with React and JavaScript/TypeScript, whether through academic, personal, or professional work
• A creative eye and interest in UI/UX design, with an appreciation for how data can be presented in ways that are both intuitive and impactful
• Strong analytical and problem-solving skills, with a passion for extracting meaning from complex datasets
• Effective communication skills, both written and verbal, with the ability to convey technical concepts to non-technical audiences
• Ability to work both independently and collaboratively within a team
• Maximum 2 years' experience

Working knowledge of SQL, with exposure to Python or PySpark desirable but not essential