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Crown Agents BankPosted 1 month ago
EXPIRED

Senior Data Analyst

$150,000–$200,000 year

HybridLondon, England, United Kingdom

Full TimeSenior LevelMedium

Job Summary

Partner with business stakeholders to translate strategic objectives into meaningful dashboards, analytics, and predictive insights using Power BI, Tableau, and AI. Establish robust data governance practices and maintain enterprise data lakes, marts, and centralised models to ensure a trusted, single view of data across the organisation. Define visualisation standards, oversee federated analytics frameworks, and leverage machine learning and automation to streamline processes and accelerate insight generation. Build comprehensive understanding of client, product, and sales data to identify growth opportunities while supporting the delivery of the CAB Data Strategy aligned with regulatory obligations. Work within a hybrid environment, contributing to the maturity of the Data Management and Analytics function as a centre of excellence.

Required Qualifications

  • Bachelor's Degree in STEM or Equivalent Professional qualification or Industry experience
  • Experience of developing dashboards and reports with data visualisation tools e.g. Power BI, Tableau, etc
  • Good knowledge and experience administering the Power BI service
  • Proven track record and experience of data analysis, modelling, and management reporting
  • Significant experience with data manipulation using analysis, modelling, and reporting tools
  • Good knowledge and experience working with databases, including design, modelling, and architecture e.g. Snowflake, SQL Server, Oracle
  • Experience with Cloud environments
  • Good knowledge and experience of programming languages e.g. Python, DAX, R, etc
  • Good understanding of the Financial Services / Banking products and markets
  • Excellent stakeholder management skills coupled with the ability to quickly understand stakeholder needs and define and ensure the implementation of corresponding actions
  • Ability to anticipate and identify potential risks, limitations as well as opportunities, related to data management activities
  • Solution oriented with bias for action and a pragmatic attitude
  • Hybrid working

Desired Qualifications

  • Exposure to data science forecasting and modelling in Python

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