We are working with an Asset Management client seeking a Data Analyst to join their Data, Intelligence & Analytics team. The role will support the clients ongoing data transformation and technology initiatives and act as a key business partner to various stakeholders.

London, UK | Hybrid - 4 Days in Office | £60,000 - £80,000 plus good package

Key Responsibilities

1. Own the design, development, and oversight of data transformation pipelines.
2. Analyse large datasets to identify and resolve data quality issues, working with Finance and Portfolio Monitoring to trace discrepancies back to source and implement sustainable fixes.
3. Ensure data quality, accuracy, and consistency across multiple platforms and vendors.
4. Build and maintain visualisations, charts, and interactive dashboards.
5. Translate complex data into meaningful business insights for senior stakeholders.
6. Drive process improvements, automation, and operational efficiencies across Finance and other business functions.
7. Apply AI technologies to solve real business problems and identify opportunities to enhance reporting, analytics, and decision-making.
8. Work closely with technology vendors and internal stakeholders to support data connectivity and platform integrations.
9. Identify practical opportunities to embed AI within the firm's data and reporting environment.

Skills Required

1. Minimum of 5 years' experience in an analytics or intelligence function within asset management or broader financial services, with a university degree in an analytical-related subject (minimum 2:1).
2. Experience in Databricks, Python, and SQL, including building and owning end-to-end data transformation pipelines.
3. Experience building and maintaining visualisations and charts for business consumption. (Power BI, Alteryx, or Qlik or similar)>
4. Demonstrated commercial experience in leveraging AI technologies to solve business challenges.
5. Experience working with and managing technology vendors or outsource providers to ensure reliable data connectivity and delivery.
6. Strong stakeholder management and excellent communication skills.
7. Demonstrated initiative and takes responsibility for delivering outcomes.
8. Excellent communication and stakeholder skills and a proactive mindset.

Desirable

1. Experience supporting a technology build-out or platform implementations (eg: eFront or Appian, or similar platforms).
2. Familiarity with Azure or other cloud-based data architectures.
3. Knowledge of modern fund operations and investment data platforms.