Graduate Data Associate

We are currently looking for 2026 graduates to join a world leader in sports research and technology with a 10 year history of exceptional innovation. This company interpret vast amounts of data to provide world beating insight. Their dynamic market demands consistently push them and their systems beyond what was previously considered possible.

The role is critical in supporting the operational efficiency and continuous improvement of our account management processes. As the volume and complexity of accounts continue to scale, this role ensures that our systems and procedures remain robust, responsive, and aligned with the evolving needs of the business.

This position is primarily focused on the timely and accurate provisioning of account resources, seamlessly integrating them into our systems to meet internal objectives and external demands. By maintaining a high standard of execution, the Associate ensures that the business can deliver on its strategic initiatives without delay, while upholding our reputation for operational excellence.

• Accurately add and configure all accounts within the system, ensuring alignment with business requirements.
• Identify and implement opportunities for process improvement to enhance operational efficiency and effectiveness.
• Maintain high data quality standards by resolving discrepancies and conducting regular accuracy checks.
• Monitor and manage resource pools across all outlets to ensure capacity meets business demands.
• Provide timely and constructive feedback to internal stakeholders queries.
• Collaborate with and provide support to other subdivisions within the Accounts team, promoting a cohesive team environment.
• Execute regular diagnostics and health assessments of the execution platform to ensure sustained optimal performance and functionality.
• Consistently meet or exceed key performance indicators (KPIs), with a focus on both speed of delivery and quality of output.

• A degree-level education.
• A strong interest in sports is advantageous.
• Experience with bespoke computer systems is advantageous.
• Proficiency in a data language such as Python, SQL database etc. is highly beneficial.