Design Data Analyst
@ Lloyds Banking Group

Bristol, England, United Kingdom
£75,000
On Site
Posted 25 days ago

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XXXXXXXX XXXXXXXXXXXXX XXXXXXXXX***** @lloydsbanking.com
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Job Details

About Lloyds Banking Group

At Lloyds Banking Group, our clear purpose is to help Britain prosper by delivering excellent financial services. We value flexible working and inclusive practices, making us a standout choice for professionals.

Job Overview - Design Data Analyst

This is a 12-month fixed-term contract role within the Design Analytics & Measurement team. Based in Manchester or Bristol and operating in a hybrid work environment, you will leverage deep customer data to influence design decisions and drive impactful insights.

Key Responsibilities

  • Conduct advanced data analysis using SQL and Python.
  • Translate technical analysis into actionable insights.
  • Collaborate in a cross-functional squad including design, product, and research.
  • Apply predictive modelling and statistical approaches.
  • Build strong stakeholder relationships to influence design strategies.

What We’re Looking For

Your experience in data analytics, proven track record in delivering high quality customer insights, and strong communication skills are critical. You should have excellent SQL proficiency, experience with Python, and a deep understanding of financial services analytics.

Benefits & Opportunities

  • Generous pension contributions up to 15%.
  • Discretionary performance-related bonus and share schemes.
  • Flexible working arrangements and wellbeing initiatives.
  • Opportunities to learn, grow, and drive meaningful change.

Key skills/competency

  • SQL
  • Python
  • Data Analysis
  • Customer Insights
  • Predictive Modelling
  • Design Analytics
  • Financial Services
  • Stakeholder Engagement
  • Data Visualization
  • Strategic Thinking
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How to Get Hired at Lloyds Banking Group

🎯 Tips for Getting Hired

  • Customize your resume: Tailor experiences to design analytics roles.
  • Showcase SQL expertise: Highlight projects and impact.
  • Emphasize Python skills: Provide clear examples in your portfolio.
  • Prepare for behavioral questions: Demonstrate stakeholder engagement.

📝 Interview Preparation Advice

Technical Preparation

Review advanced SQL queries and functions.
Practice Python data analysis libraries.
Study predictive modelling techniques.
Familiarize with data visualization tools like Tableau.

Behavioral Questions

Describe a challenging stakeholder negotiation.
Explain a time you prioritized independently.
Share how you communicated complex data.
Discuss team collaboration during tight deadlines.

Frequently Asked Questions