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- Tasks: Transform complex business needs into data-driven insights and solutions.
- Company: Join a leading global financial services organisation in Edinburgh.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Be at the forefront of AI-driven finance and make a real impact.
- Qualifications: Experience in data analysis, SQL, Python, and data visualisation skills.
- Other info: Initial 6-month contract with potential for extension.
The predicted salary is between 36000 - 60000 £ per year.
A leading global financial services organization is hiring a Data Business Analyst in Edinburgh for an initial 6-month contract. You will work at the intersection of business and analytics, translating complex needs into robust data-led solutions.
The ideal candidate will have a strong background in data analysis and tools such as SQL and Python, alongside experience in data visualisation. Strong communication and analytical skills are essential for presenting insights to both technical and non-technical stakeholders.
Data Business Analyst: AI-Driven Finance Insights employer: Core-Asset Consulting Ltd
Contact Detail:
Core-Asset Consulting Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Business Analyst: AI-Driven Finance Insights
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data analysis sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your knowledge.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and visualisation. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Showcase your projects! If you've worked on any data-driven projects, create a portfolio or a GitHub repository. This gives you a chance to demonstrate your SQL and Python skills, as well as your ability to present insights clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Data Business Analyst: AI-Driven Finance Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, SQL, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven solutions and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Communication Skills: Since you'll be presenting insights to various stakeholders, it's crucial to demonstrate your ability to communicate complex ideas clearly. We recommend including examples of how you've done this in past roles.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Core-Asset Consulting Ltd
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to derive insights, as this will show your practical experience and understanding of data analysis.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical business problems using data. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to translate complex needs into actionable solutions.
✨Showcase Your Communication Skills
Since you'll be presenting insights to both technical and non-technical stakeholders, prepare examples of how you've successfully communicated complex data findings in the past. This will highlight your ability to bridge the gap between data and business needs.
✨Research the Company
Familiarise yourself with the financial services organisation's recent projects or initiatives, especially those related to AI and data analytics. This knowledge will not only help you tailor your answers but also show your genuine interest in the role and the company.
