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- Tasks: Transform complex business needs into data-driven solutions using analytics.
- Company: Leading global financial services organisation based in Edinburgh.
- Benefits: Competitive pay, flexible working, and opportunities for skill development.
- Why this job: Join a dynamic team and make an impact in AI-driven finance insights.
- Qualifications: Experience in data analysis, SQL, Python, and data visualisation.
- Other info: Initial 6-month contract with potential for growth in a fast-paced environment.
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 in Edinburgh 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 in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data analysis sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and Python skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable presenting your insights clearly.
✨Tip Number 3
Showcase your data visualisation skills! Create a portfolio of your best work and be ready to discuss how you've turned complex data into actionable insights. This will impress both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to 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 are proactive about their job search!
We think you need these skills to ace Data Business Analyst: AI-Driven Finance Insights in Edinburgh
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 excited about the Data Business Analyst role and how your background makes you a perfect fit. We love seeing genuine enthusiasm!
Showcase Your Communication Skills: Since you'll be presenting insights to various stakeholders, it's crucial to demonstrate your communication prowess. Include examples in your application that show how you've effectively conveyed complex information in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
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 solve problems or derive insights. This will show that you can translate complex data needs into actionable solutions.
✨Visualisation is Key
Prepare to talk about your experience with data visualisation. Bring examples of dashboards or reports you've created, and be ready to explain how they helped stakeholders make informed decisions. This demonstrates your ability to communicate insights effectively.
✨Understand the Business Context
Research the financial services organisation and understand their business model. Think about how your analytical skills can add value to their operations. This knowledge will help you tailor your responses and show that you're genuinely interested in the role.
✨Practice Your Communication Skills
Since strong communication is essential for this role, practice explaining complex data concepts in simple terms. You might be asked to present a case study or answer questions from both technical and non-technical stakeholders, so being clear and concise is crucial.
