Want to get hired at Lloyds Banking Group?

Performance Data Analyst

Lloyds Banking Group

Bristol, England, United KingdomOn Site

Original Job Summary

Overview

Join Lloyds Banking Group as a Performance Data Analyst in the Customer and Commercial Team. This brand-new role is designed to shape the future of customer experience through data-led insights.

Key Responsibilities

  • Extract and analyse large, complex data sets for actionable insights.
  • Design and build performance reports to guide strategic decisions.
  • Translate technical analysis into compelling, business-oriented stories.
  • Collaborate across teams to define metrics and reporting methodologies.
  • Analyse digital journeys and support tagging recommendations.

Required Skills

  • Proven experience as a data analyst or data scientist.
  • Excellent SQL proficiency and strong analytical skills.
  • Experience with sophisticated and large-scale data sets.
  • Ability to design performance reports and define quality metrics.
  • Outstanding communication and persuasive abilities.

Desirable Experience

  • Financial services experience.
  • Mapping customer journeys for optimisation.
  • Data visualisation using Power BI.
  • Statistical approaches for Test and Learn activities.
  • Experience with Python and Google Cloud Platform (GCP).

About Lloyds Banking Group

Lloyds Banking Group is an innovative, fast-changing bank focused on inclusivity and empowering its people. They offer great benefits including a generous pension, performance bonuses, share schemes, adaptable lifestyle benefits, and strong support for diversity and inclusion.

Key skills/competency

  • Data Analysis
  • SQL
  • Performance Reporting
  • Customer Journey
  • Data Visualization
  • Analytical Techniques
  • Financial Services
  • Python
  • GCP
  • Power BI

How to Get Hired at Lloyds Banking Group

🎯 Tips for Getting Hired

  • Research Lloyds Banking Group: Investigate company culture and recent news.
  • Customize your resume: Highlight SQL and data reporting skills.
  • Emphasize analytics: Showcase experience in large-scale data analysis.
  • Prepare for interviews: Practice explaining technical insights clearly.

📝 Interview Preparation Advice

Technical Preparation

Practice advanced SQL queries.
Review performance reporting techniques.
Work with large dataset challenges.
Familiarize with Power BI and Python.

Behavioral Questions

Describe a time you solved data challenges.
Explain your communication of complex analyses.
How do you manage collaborative projects?
Share an experience adapting to change.