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For Companies At a Glance
- Tasks: Join a data transformation initiative and act as a vital link between business and tech teams.
- Company: Global leader in Investment Management with a focus on innovation.
- Benefits: Competitive market rate, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with a chance to work in Agile/Scrum environments.
- Why this job: Be the 'data detective' ensuring high-quality financial platforms and impactful analytics.
- Qualifications: 6+ years as a Data/Business Systems Analyst with strong SQL skills.
The predicted salary is between 60000 - 75000 £ per year.
Location: London (Paddington) - Hybrid (2 Days Office/3 Days Home)
Contract: 6-12 Months (Inside IR35 / Subcon)
Rate: Competitive Market Rate
The Opportunity
We are looking for a sharp, detail-oriented Data Business Systems Analyst to join a flagship data transformation initiative for a global leader in Investment Management. This role sits at the intersection of business strategy and technical execution, acting as the vital link between investment professionals and data engineering teams.
The Role
You won't just be gathering requirements; you will be the "data detective" ensuring the integrity of our financial platforms. You will dive deep into SQL databases, map complex data flows, and translate high-level business needs into technical blueprints that drive reporting and downstream analytics.
Key Responsibilities
- Requirements Engineering: Lead workshops with Product Owners and Stakeholders to document functional specs and User Stories within the BFS/Capital Markets domain.
- Data Mapping: Define Source-to-Target Mappings (STM) and logic for ETL pipelines and Data Warehouses.
- Data Validation: Use advanced SQL to perform root-cause analysis, data profiling, and reconciliation to ensure high data quality.
- Stakeholder Management: Act as the primary bridge between Data Engineering, MDM, and QA teams to ensure delivery aligns with business intent.
Your Profile
- Experience: 6+ years as a Data/Business Systems Analyst, specifically within Financial Services, Asset Management, or Capital Markets.
- Technical Edge: Mastery of SQL is non-negotiable. You should be comfortable querying complex datasets for validation and investigation.
- Domain Knowledge: Solid understanding of Investment data (Trades, Reference Data, Client Data, or Risk).
- Methodology: Proven experience in Agile/Scrum environments.
- Communication: Ability to explain technical data concepts to non-technical business users clearly.
Nice to Have
- Experience with Cloud platforms (AWS preferred).
- Knowledge of Master Data Management (MDM) or Regulatory Reporting.
Apply: If you would be interested please share your updated cv on yogeshwari.sen @randstaddigital .com with your availability to discuss more about this role.
Data Analyst Business System Analyst employer: Randstad Staffing
Contact Detail:
Randstad Staffing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst Business System Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your problem-solving skills.
✨Tip Number 3
Showcase your technical skills! Be ready to demonstrate your SQL prowess during interviews. Consider working on a small project or case study that highlights your ability to handle complex datasets and data validation.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Data Analyst Business System Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Business Systems Analyst. Highlight your experience in SQL and any relevant projects that showcase your skills in data mapping and validation.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've acted as a bridge between technical teams and business stakeholders in the past.
Showcase Your Technical Skills: Don’t shy away from flaunting your SQL mastery! Include any complex datasets you've worked with and how you’ve used them to drive insights or improve processes.
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 updates!
How to prepare for a job interview at Randstad Staffing
✨Know Your SQL Inside Out
Since mastery of SQL is non-negotiable for this role, make sure you brush up on your SQL skills. Prepare to discuss complex queries you've written and be ready to solve a few SQL problems during the interview. This will show that you're not just familiar with SQL, but that you can use it effectively in real-world scenarios.
✨Understand the Business Context
Dive deep into the investment management sector before your interview. Familiarise yourself with key concepts like trades, reference data, and risk management. Being able to speak knowledgeably about these topics will demonstrate your understanding of the domain and how it relates to data analysis.
✨Prepare for Stakeholder Scenarios
As a bridge between technical teams and business users, you'll need to showcase your communication skills. Think of examples where you've successfully managed stakeholder expectations or led workshops. Be ready to discuss how you translate technical jargon into layman's terms for non-technical users.
✨Showcase Your Agile Experience
Since experience in Agile/Scrum environments is crucial, prepare to discuss your previous roles in such settings. Highlight specific projects where you contributed to iterative development and how you adapted to changing requirements. This will illustrate your flexibility and teamwork skills, which are vital for this position.