At a Glance
- Tasks: Analyse data and deliver solutions for the Risk Division in a collaborative setting.
- Company: Join Lloyds Bank plc, a leader in financial services with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact by solving data quality issues in large-scale regulatory programs.
- Qualifications: Strong analytical skills, Agile familiarity, and experience with Google Cloud Platform.
The predicted salary is between 35000 - 45000 £ per year.
Lloyds Bank plc is seeking a Data Analyst for its Analytics Lab focusing on delivering data solutions for the Risk Division. The role involves working with large-scale regulatory programs and solving data quality issues in a collaborative environment.
The ideal candidate possesses strong analytical skills, familiarity with Agile methodologies, and experience with tools like Google Cloud Platform.
The position offers a hybrid work model, combining remote and office work in Leeds.
Data Analyst, BI & Analytics — Risk & Cloud Data in Leeds employer: Lloyds Bank plc
Lloyds Bank plc is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation within its Analytics Lab. Employees benefit from a hybrid work model in Leeds, allowing for flexibility while engaging in meaningful projects that directly impact the Risk Division. With a strong emphasis on professional development and access to cutting-edge tools like Google Cloud Platform, Lloyds Bank provides ample opportunities for growth and advancement in the field of data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst, BI & Analytics — Risk & Cloud Data in Leeds
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Lloyds Bank on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those involving Google Cloud Platform. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data analysts, especially those related to risk and data quality issues. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight our Agile experience and analytical skills right from the start.
We think you need these skills to ace Data Analyst, BI & Analytics — Risk & Cloud Data in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your analytical skills and experience with tools like Google Cloud Platform. We want to see how your background aligns with the role in the Risk Division, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Analyst position at Lloyds Bank and how your skills can help solve data quality issues. Let’s show them your passion for data!
Showcase Your Agile Experience:Since the role involves working in a collaborative environment, make sure to mention any experience you have with Agile methodologies. We love seeing candidates who can adapt and thrive in dynamic settings!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at Lloyds Bank plc
✨Know Your Data Inside Out
Make sure you’re well-versed in data analysis concepts and tools, especially those mentioned in the job description like Google Cloud Platform. Brush up on your analytical skills and be ready to discuss how you've tackled data quality issues in the past.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in a collaborative environment, understanding Agile methodologies is crucial. Be prepared to share examples of how you've worked in Agile teams and how it has helped you deliver data solutions effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, particularly around regulatory programs and data challenges. Think of specific scenarios where you’ve successfully navigated similar issues and be ready to explain your thought process.
✨Show Enthusiasm for Hybrid Work
With a hybrid work model in place, express your excitement about the flexibility it offers. Share how you plan to balance remote and office work effectively, and highlight any previous experience you have in a similar setup.
