At a Glance
- Tasks: Lead data analysis and modelling for a key investment project.
- Company: Dynamic investment firm with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and professional growth opportunities.
- Why this job: Join a pivotal project and shape the future of investment data systems.
- Qualifications: Experience in data analysis, investment data, and collaboration with development teams.
- Other info: Regular in-office time in Edinburgh for team synergy.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an experienced Data Business Analyst with in-depth knowledge of investment data to join a key new project. In this role, you will support the overhaul of a data model and work with external providers to implement a core new system. In-depth experience in previous contracts working on highly specialised, investment-based data is essential.
Responsibilities
- Taking ownership of data analysis and modelling
- Establishing functional & non-functional requirements
- Working closely with Development/QA/Product
- Ensuring full and complete documentation
- Working with third party providers to ensure seamless implementation of new investment data systems
Qualifications / Experience
- Data & Business Analysis
- Investment Data
- Data Governance, Quality and Management
- Working with development and data teams
- The Software Development Lifecycle
This role will require regular in-office time in Edinburgh.
Please hit apply for immediate consideration.
Business Anayst - Data employer: Bright Purple
Contact Detail:
Bright Purple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Anayst - Data
✨Tip Number 1
Network like a pro! Reach out to your connections in the investment data field 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 investment data and how you've tackled challenges in previous projects. We want you to shine!
✨Tip Number 3
Don’t forget to showcase your documentation skills! Be ready to discuss how you’ve ensured full and complete documentation in past roles. This is key for any Business Analyst, especially in investment data.
✨Tip Number 4
Apply through our website for a smoother process! It’s quick and easy, plus it shows you’re serious about joining our team. Let’s get you on board and working on those exciting new data systems!
We think you need these skills to ace Business Anayst - Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Analyst role. Highlight your experience with investment data and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills: In your cover letter, don’t just list your qualifications. Instead, showcase specific examples of how you've taken ownership of data analysis and modelling in past roles. This helps us see your practical experience in action.
Be Clear and Concise: When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to complex topics like data governance.
Apply Through Our Website: We encourage you to apply 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 Bright Purple
✨Know Your Data Inside Out
Make sure you brush up on your investment data knowledge. Be prepared to discuss specific examples of how you've handled data analysis and modelling in previous roles. This will show that you have the expertise needed for the job.
✨Understand the Software Development Lifecycle
Familiarise yourself with the Software Development Lifecycle (SDLC) as it relates to data projects. Be ready to explain how you've worked within this framework before, especially in collaboration with development and QA teams.
✨Prepare for Functional & Non-Functional Requirements
Think about how you would establish both functional and non-functional requirements for a project. Have examples ready that demonstrate your ability to gather and document these requirements effectively.
✨Showcase Your Collaboration Skills
Since you'll be working closely with third-party providers, highlight your experience in managing external relationships. Prepare to discuss how you've ensured seamless implementation of systems in past projects.