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For Companies At a Glance
- Tasks: Bridge business needs with tech solutions in data transformation projects.
- Company: Leading investment banking firm with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and professional growth opportunities.
- Other info: Dynamic team environment with potential for career advancement.
- Why this job: Play a key role in shaping data strategies using cutting-edge technologies.
- Qualifications: Experience in business analysis and knowledge of data methodologies required.
The predicted salary is between 42900 - 55000 £ per year.
Location: Hybrid (Central Glasgow or Central London)
Rate: Up to £550 per day (Inside IR35)
Industry: Investment Banking (Mandatory)
Role Overview
We are seeking a seasoned Senior Business Analyst to bridge the gap between complex business requirements and actionable technical solutions. This role is deeply embedded within our data transformation initiatives, where you will work closely with the Data Team to deliver modern, scalable solutions. Specifically, you will be instrumental in projects utilizing Snowflake and Data Vault methodologies. You will ensure that business logic is accurately captured and translated into technical requirements that align with our high-standard data architecture.
Key Responsibilities
- Data Strategy Execution: Partner with Data Architects and Engineers to drive delivery on Snowflake cloud data platforms.
- Requirements Modeling: Define and document business requirements specifically for Data Vault modeling, ensuring data lineage and auditability standards are met.
- Technical Liaison: Translate high-level business needs...
Business Analyst (Investment Banking) employer: LMA Recruitment
Contact Detail:
LMA Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst (Investment Banking)
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment banking sector 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 those interviews! Research common questions for Business Analysts in investment banking and practice your answers. We recommend using the STAR method to structure your responses and highlight your experience with data transformation.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your previous projects, especially those involving Snowflake and Data Vault methodologies. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining our team in the investment banking space.
We think you need these skills to ace Business Analyst (Investment Banking)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Analyst role in Investment Banking. Highlight your experience with data transformation and any relevant methodologies like Snowflake and Data Vault. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've bridged business requirements and technical solutions in the past. We love a good story!
Showcase Your Technical Skills: Don’t forget to mention your technical skills, especially those related to data architecture and cloud platforms. If you’ve worked with Snowflake or similar technologies, let us know! We’re keen on candidates who can hit the ground running.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at LMA Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in data transformation concepts, especially Snowflake and Data Vault methodologies. Brush up on how these technologies work and be ready to discuss how you've applied them in past projects.
✨Speak the Language of Business and Tech
Prepare to articulate how you bridge the gap between business requirements and technical solutions. Use specific examples from your experience where you successfully translated complex business needs into actionable technical requirements.
✨Showcase Your Collaboration Skills
Highlight your experience working with Data Architects and Engineers. Be ready to discuss how you’ve partnered with technical teams to drive successful data strategy execution, as this role requires strong collaboration.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where you had to model requirements or ensure data lineage and auditability standards were met, and be prepared to walk through your thought process.