At a Glance
- Tasks: Analyse customer data and develop solutions to enhance data quality.
- Company: Join Lloyds Banking Group, a leader in collaborative and agile working.
- Benefits: Generous pension, performance bonuses, 30 days holiday, and flexible working options.
- Other info: Exciting opportunities for learning and career growth in a dynamic environment.
- Why this job: Make a real impact by solving complex data challenges and improving customer experiences.
- Qualifications: Experience in data analytics, SQL proficiency, and strong problem-solving skills.
The predicted salary is between 67023 - 74470 £ per year.
At Lloyds Banking Group we’re embracing collaborative, agile ways of working, to help us deliver the best outcomes for our colleagues, customers and businesses. Join us and discover how this could work for you.
Job Details
- Location: Bristol
- Hours: Full‑time – 35 hours per week
- Working pattern: Hybrid – at least two days per week at our Bristol office.
- Salary: £67,023 – £74,470
- Flexible working options: Hybrid Working, Job Share
What You’ll Do
- Develop high‑quality analysis and solutions, ingesting data from multiple sources to build large, potentially complex data‑quality applications.
- Respond to high‑priority incidents, regulatory and Group Executive complaints, identify root cause, determine number of customers impacted, and recommend solutions.
- Provide critical customer‑data expertise to help shape problem‑solving approaches and contribute new and exciting datasets to solutions.
- Build data‑quality dashboards and visualise them using Power BI.
What You’ll Need
- Proven experience in data analytics.
- Proficiency in SQL and public cloud computing.
- Strong problem‑solving, analytical, design, and communication skills.
- Desire to learn and share learnings.
Nice to Have
- Experience with Docker, Kubernetes and WebSphere Liberty (or equivalent).
- Knowledge of DevOps principles and related toolsets.
- Automation experience with Urbancode, Jenkins, or equivalent.
- Familiarity with Scrum or detailed task planning.
- Programming experience in Python or willingness to learn Python.
- Experience writing SQL scripts in Google Cloud Platform.
Benefits
- A generous pension contribution of up to 15%.
- An annual performance‑related bonus.
- Share schemes, including free shares.
- Benefits you can adapt to your lifestyle, such as discounted shopping.
- 30 days’ holiday, with bank holidays on top.
- A range of wellbeing initiatives and generous parental leave policies.
Data Analyst (Customer Data Services) in London employer: Lloyds Banking Group
At Lloyds Banking Group, we pride ourselves on fostering a collaborative and agile work environment that empowers our employees to thrive. Located in the vibrant city of Bristol, we offer a range of benefits including a generous pension scheme, flexible working options, and ample opportunities for professional growth. Join us to be part of a culture that values innovation, well-being, and a commitment to delivering exceptional outcomes for our colleagues and customers alike.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Customer Data Services) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Lloyds Banking Group on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and data analytics knowledge. Be ready to discuss how you've tackled complex data problems in the past. We want to see your problem-solving prowess in action!
✨Tip Number 3
Show off your creativity! When discussing your experience, highlight any unique projects or dashboards you've built, especially using Power BI. We love seeing innovative solutions that demonstrate your analytical skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Lloyds Banking Group.
We think you need these skills to ace Data Analyst (Customer Data Services) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with data analytics, SQL, and any cloud computing skills you have. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your skills can help us at Lloyds Banking Group. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills; give examples of how you've used them to solve real problems. We’re keen on seeing your analytical thinking in action, especially when it comes to customer data.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills, especially SQL and cloud computing. Be ready to discuss specific projects where you've used these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical thinking and problem-solving abilities. Think of situations where you identified root causes of issues and the solutions you proposed, especially in a customer data context.
✨Familiarise Yourself with Power BI
Since building data-quality dashboards is part of the role, it’s a good idea to have a few examples of your work with Power BI ready to share. If you can, create a mock dashboard to demonstrate your skills during the interview.
✨Embrace the Agile Mindset
Lloyds Banking Group values collaborative and agile working. Be prepared to discuss your experience with Scrum or similar methodologies, and how you adapt to changing priorities while still delivering high-quality results.
