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- Tasks: Analyse and model investment data while collaborating with development and QA teams.
- Company: Leading consultancy firm known for its innovative approach.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact on investment data projects.
- Qualifications: Experience in data analysis, modelling, and investment data management.
- Other info: Exciting opportunity to work in a collaborative environment in Edinburgh.
The predicted salary is between 28800 - 48000 £ per year.
A leading consultancy firm is seeking a Contract Business Analyst to work on investment data projects. The successful candidate will have robust experience in data analysis, modeling, and investment data management. This hybrid role located in Edinburgh involves collaboration with development and QA teams to ensure new data systems are implemented successfully. Strong documentation and partnership with external providers are essential for this position.
Investment Data Analyst – Hybrid Edinburgh, Data Modeling employer: Bright Purple
Contact Detail:
Bright Purple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Analyst – Hybrid Edinburgh, Data Modeling
✨Tip Number 1
Network like a pro! Reach out to folks in the investment data field on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Prepare for those interviews! Brush up on your data analysis and modelling skills, and be ready to discuss how you've tackled similar projects in the past. We want you to shine when you talk about your experience!
✨Tip Number 3
Showcase your documentation skills! Bring along examples of your previous work that highlight your ability to document processes and collaborate with teams. This will demonstrate your readiness for the hybrid role we’re looking to fill.
✨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. We’re excited to see what you bring to the table!
We think you need these skills to ace Investment Data Analyst – Hybrid Edinburgh, Data Modeling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis and investment data management. We want to see how your skills align with the role, 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 the perfect fit for the Investment Data Analyst role. We love seeing enthusiasm and a clear understanding of the job requirements.
Showcase Collaboration Skills: Since this role involves working with development and QA teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork and want to see how you can contribute!
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 Bright Purple
✨Know Your Data Inside Out
Make sure you brush up on your data analysis and modelling skills. Be prepared to discuss specific projects where you've successfully managed investment data, as well as the tools and methodologies you used.
✨Collaboration is Key
Since this role involves working closely with development and QA teams, think of examples that showcase your teamwork skills. Be ready to explain how you’ve effectively communicated and partnered with others to implement data systems.
✨Documentation Matters
Strong documentation is essential for this position. Prepare to talk about your experience in creating clear and concise documentation for data projects. Highlight any tools or techniques you use to ensure accuracy and clarity.
✨Engage with External Providers
This role requires partnership with external providers, so be ready to discuss your experience in managing these relationships. Think of examples where you’ve navigated challenges or improved collaboration with third parties.
