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- Tasks: Analyse data and translate business needs into actionable insights.
- Company: Join N Consulting Ltd, a leader in the banking domain.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for growth.
- Other info: Collaborative environment with a focus on innovation and strategic decision-making.
- Why this job: Make a real impact by driving data-driven decisions in banking.
- Qualifications: 10+ years experience in business analysis and strong analytical skills.
The predicted salary is between 78000 - 91000 £ per year.
Location: Glasgow, United Kingdom
Salary: £300 - £350 /day
Job Type: Contract
Date Posted: March 2nd, 2026
Role Overview:
A Data Business Analyst bridges the gap between business stakeholders and data/technology teams by translating business needs into data-driven insights and solutions. The role focuses on analysing data, defining requirements, improving processes, and supporting strategic decision-making through analytics.
Required Skills:
- Business & Analytical Skills:
- Requirement gathering & stakeholder management
- Business process analysis
- Data interpretation and problem-solving
- KPI definition and reporting
- Banking domain experience
- SQL and database querying
- Advanced Excel
- Data visualization tools (Power BI / Tableau / Looker)
- Understanding of data warehousing concepts
- Basic knowledge of ETL processes
- Familiarity with Python or R (preferred)
Data Business Analyst employer: N Consulting Limited
Contact Detail:
N Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Business Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the banking domain and let them know you're on the hunt for a Data Business Analyst role. Attend industry meetups or webinars, and don’t be shy about sharing your expertise – it could lead to some great opportunities!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL, Excel, or data visualisation tools like Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions for Data Business Analysts. Think about how you can demonstrate your experience with requirement gathering and stakeholder management. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get clicking and let’s land that job together!
We think you need these skills to ace Data Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Business Analyst role. Highlight your experience in the banking domain and any relevant technical skills like SQL or data visualisation tools. 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 passionate about this role and how your skills can bridge the gap between business and technology. Let us know what makes you the perfect fit for our team.
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical skills. Provide examples of how you've used data to drive decisions or improve processes in your previous roles. We love seeing real-world applications of your expertise!
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 N Consulting Limited
✨Know Your Data
As a Data Business Analyst, it's crucial to demonstrate your understanding of data analysis. Brush up on SQL and database querying techniques, and be ready to discuss how you've used these skills in past roles. Prepare examples of how you've translated complex data into actionable insights.
✨Master the Banking Domain
Since this role is focused on the banking sector, make sure you’re familiar with industry-specific terminology and challenges. Research recent trends in banking analytics and think about how they relate to the job. This will show your potential employer that you're not just a data whiz but also understand the business context.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific instances where you've tackled complex problems using data. Use the STAR method (Situation, Task, Action, Result) to structure your answers. Highlight your analytical thinking and how it led to improved processes or decision-making.
✨Engage with Stakeholders
Stakeholder management is key in this role. Think of examples where you've successfully gathered requirements or collaborated with different teams. During the interview, ask insightful questions about their current processes and how you can add value, showing that you’re proactive and engaged.