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# Data Analyst

- **Company:** McCabe & Barton
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £60,000.0 - £80,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Big Data, Cloud Database, Data Transformation, Python (Programming Language), Network Connections, Power BI, SQL Databases, Appian, Qlikview, Enterprise Integration, Data Management, Alteryx, Databricks
- **Published:** August 13, 2026
- **Apply:** https://www.totaljobs.com/job/data-analyst/mccabe-barton-job107832802

## About the Role

* 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).
 * Experience in Databricks, Python, and SQL, including building and owning end-to-end data transformation pipelines.
 * Experience building and maintaining visualisations and charts for business consumption. (Power BI, Alteryx, or Qlik or similar)>
 * Demonstrated commercial experience in leveraging AI technologies to solve business challenges.
 * Experience working with and managing technology vendors or outsource providers to ensure reliable data connectivity and delivery.
 * Strong stakeholder management and excellent communication skills.
 * Demonstrated initiative and takes responsibility for delivering outcomes.
 * Excellent communication and stakeholder skills and a proactive mindset.

Desirable

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

## Description

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., * Own the design, development, and oversight of data transformation pipelines.

 * 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.
 * Ensure data quality, accuracy, and consistency across multiple platforms and vendors.
 * Build and maintain visualisations, charts, and interactive dashboards.
 * Translate complex data into meaningful business insights for senior stakeholders.
 * Drive process improvements, automation, and operational efficiencies across Finance and other business functions.
 * Apply AI technologies to solve real business problems and identify opportunities to enhance reporting, analytics, and decision-making.
 * Work closely with technology vendors and internal stakeholders to support data connectivity and platform integrations.
 * Identify practical opportunities to embed AI within the firm's data and reporting environment.


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