Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data to provide insights and enhance banking processes.
- Company: Dynamic consulting firm with a focus on data-driven solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a team that bridges business and data, making a real impact in banking.
- Qualifications: 10+ years of experience in banking, strong data visualisation and querying skills.
- Other info: Flexible work environment with a focus on collaboration and innovation.
The predicted salary is between 43200 - 72000 £ per year.
A consulting firm is seeking a Data Business Analyst in Glasgow to bridge the gap between business stakeholders and data teams. The role requires analyzing data to provide insights and improve processes.
Candidates should possess over 10 years of experience, particularly in the banking domain, and have strong skills in requirement gathering, data visualization, and database querying.
This position offers a hybrid work model, with 2-3 days onsite per week.
Banking Data Insights Analyst - Hybrid (Glasgow) employer: N Consulting Ltd
Contact Detail:
N Consulting Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Banking Data Insights Analyst - Hybrid (Glasgow)
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking sector and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your data analysis skills. Make sure you can talk confidently about your experience with requirement gathering and data visualisation. We want you to shine when it comes to showcasing your expertise!
✨Tip Number 3
Don’t forget to tailor your approach! When you’re applying, highlight your banking experience and how it relates to the role. Show us how you can bridge the gap between business stakeholders and data teams effectively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Banking Data Insights Analyst - Hybrid (Glasgow)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in the banking domain and showcases your skills in data analysis. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Banking Data Insights Analyst role. Share specific examples of how you've bridged gaps between stakeholders and data teams in the past.
Showcase Your Technical Skills: Since this role involves data visualisation and database querying, make sure to mention any tools or technologies you’re proficient in. We love seeing candidates who can hit the ground running with their technical expertise!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at N Consulting Ltd
✨Know Your Data Inside Out
Make sure you brush up on your data analysis skills, especially in the banking sector. Be prepared to discuss specific projects where you've gathered requirements and provided insights. This will show that you can bridge the gap between business needs and data solutions.
✨Visualisation is Key
Since the role requires strong data visualisation skills, come ready with examples of your work. Bring along a portfolio or be prepared to describe how you've used visual tools to present complex data in an understandable way. This will demonstrate your ability to communicate insights effectively.
✨Understand the Hybrid Model
Familiarise yourself with the hybrid work model and be ready to discuss how you can manage your time effectively between onsite and remote work. Highlight any previous experience you have in similar setups to show you're adaptable and can thrive in this environment.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about past challenges you've faced in data analysis and how you overcame them. This will help the interviewers see your critical thinking and analytical abilities in action.