Data Analyst Apprentice - 11 Months Contract

Job description

## About the Role FE fundinfo is a leading financial data provider that connects the investment industry across the UK, Europe, and Asia‑Pacific. As a Data Analyst Apprentice you will join a global team that ensures the accuracy, quality, and reliability of mutual‑fund data used by clients worldwide. This 11‑month contract offers a solid foundation in financial data, exposure to AI‑driven data processes, and the chance to build a career in a fast‑growing international organisation. ## What You’ll Do - Update mutual‑fund information accurately and efficiently within internal databases. - Label AI‑extracted data and validate its accuracy against source documents. - Perform quality checks to ensure data integrity and compliance with established standards. - Communicate daily progress and status updates with team leads and stakeholders. - Meet extraction targets, identify defects, and escalate issues when required. - Generate project‑related reports and support data requests from management. ## Required Qualifications - Bachelor’s degree in Commerce, Mathematics, Statistics or a related discipline. - Strong written and verbal English communication skills. - Excellent analytical thinking, problem‑solving abilities and a keen eye for detail. - Ability to work independently, meet SLA and quality standards, and suggest process improvements. - Eagerness to learn concepts related to mutual funds and to contribute positively within a team environment. ## Benefits - Hands‑on experience with financial data and AI‑assisted data processing. - Opportunity to collaborate with global teams and develop industry‑relevant skills. - Structured learning environment with regular feedback and mentorship. - Exposure to the investment management sector, enhancing future career prospects.

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Compensation

Salary for this role is not disclosed by the employer. We don’t have enough benchmark data from similar roles to produce a reliable estimate. The actual compensation will be discussed during the interview process.