DESCRIPTION

Salary: c.£50,000
Bonus: Discretionary
Location: Kings X, London; Tues - Thurs (3 days) at HQ, Monday + Friday, anywhere
Employment Type: Full-time
Closing Date: 11.08.25
ARIA is a new kind of R&D funding agency. We fund scientists and engineers to pursue research at the edge of the possible. From climate change to AI, society faces enormous challenges and opportunities that can be uniquely addressed by science and technology. ARIA was created to activate the UK’s world-class R&D in new ways, so we can meet these head on.
We are growing our team to develop bold new approaches that can scale – from programmes to systems, processes and everything in between. If that sounds fun, come and build ARIA with us.
Learn more about how we work here.

REQUIREMENTS GATHERING & PROJECT MANAGEMENT

• Work with team members to assess requirements, select appropriate tooling and data models, and roll out solutions.
• Gather data requirements and support the design, build, and implementation of solutions and infrastructure that align with ARIA’s strategic objectives and priorities.

ROLE SUMMARY

Our team’s mission is to enable ARIA to scale and innovate through the implementation and use of first-class technologies and systems and data-driven insights. The Data & Insights Associate will support ARIA’s internal systems and data landscape.
This role is responsible for executing on the design, implementation, and optimisation of data infrastructure, tooling, and reporting solutions. You’ll work closely with team members and stakeholders to deliver user-centric tools, insightful reporting, and streamlined workflows. This role requires a blend of technical execution and problem-solving to help ARIA scale and innovate.

To thrive in this role, you demonstrate:

• Strong collaboration and communication skills, enabling you to work effectively with team members and stakeholders to ensure solutions meet functional needs and business priorities.
• Proficiency in supporting solution architecture and engineering, with a focus on building, integrating, and maintaining tools, gathering feedback, and driving adoption of solutions.
• Solid data handling capabilities, ensuring effective data flows, high-quality reporting, and efficient data infrastructure