Want to get hired at Lloyds Banking Group?
Performance Data Analyst
Lloyds Banking Group
Manchester, England, United KingdomOn Site
Original Job Summary
Performance Data Analyst
Join Lloyds Banking Group as a Performance Data Analyst within the Customer and Commercial Team. In this new role, you will help shape the future of customer experience through data-led analysis, influencing end-to-end customer journeys and delivering significant impact.
What You'll Be Doing
- Extract and analyze large, complex data sets to uncover insights.
- Design and build performance reports that drive strategic decisions.
- Translate technical analysis into engaging stories.
- Collaborate across teams to define metrics and reporting methodologies.
- Analyze digital journeys and advise on tagging recommendations.
What You'll Need
- Proven experience in data analysis/data science with a passion for insights.
- Excellent SQL proficiency and strong analytical skills.
- Experience in designing performance reports and defining quality metrics.
- Ability to work with large-scale data sets and an analytical mindset.
- Outstanding communication abilities to transform data into compelling stories.
- Desirable: experience in financial services, customer journey mapping, Power BI, statistical approaches, Python, and GCP.
About Lloyds Banking Group
Lloyds Banking Group is an innovative, fast-changing financial institution committed to diversity and inclusivity. They empower their people to innovate, explore new possibilities, and grow with purpose. Enjoy a benefits package that includes a competitive pension, performance-related bonus, share schemes, and flexible working arrangements.
Key skills/competency
- Data Analysis
- SQL
- Performance Reporting
- Customer Journey
- Power BI
- Python
- GCP
- Analytical Thinking
- Communication
- Financial Services
How to Get Hired at Lloyds Banking Group
🎯 Tips for Getting Hired
- Customize your resume: Highlight SQL, analytics, and reporting skills.
- Research Lloyds Banking Group: Understand their culture and diversity initiatives.
- Emphasize experience: Showcase data analysis and financial services background.
- Prepare for interviews: Practice explaining complex data insights clearly.
📝 Interview Preparation Advice
Technical Preparation
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Practice advanced SQL queries
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Review Power BI dashboard designs
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Study Python for data analysis
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Understand GCP basics
Behavioral Questions
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Describe effective teamwork experiences
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Explain handling data challenges
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Discuss adaptability in fast environments
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Share conflict resolution examples