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- Tasks: Investigate and improve data processes for a leading financial services firm.
- Company: Join a top financial services firm with a focus on data excellence.
- Benefits: Competitive daily rate, flexible onsite work, and valuable industry experience.
- Why this job: Make a real impact by optimising data handling in a dynamic environment.
- Qualifications: Strong data background and understanding of financial services processes.
- Other info: Initial 6-month contract with potential for growth and learning.
The predicted salary is between 50000 - 75000 £ per year.
Initial 6‑month contract, £700‑£750 per day, based onsite in London (3 days per week). The role will support a leading financial services firm to investigate, interrogate, and improve data processes, flows, and quality, ensuring accurate data translation into their CRM.
Responsibilities
- Investigate and interrogate existing data processes, flows, and quality.
- Understand challenges in data processes.
- Recommend and implement solutions to optimise data handling.
- Ensure correct data translates through to the CRM.
Qualifications
- Strong background in data and understanding of processes, flows, integrations, and governance within financial services.
- Experience with CRM technology is an advantage.
To apply, please submit an up‑to‑date CV.
Data Business Analyst - Financial Services employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Business Analyst - Financial Services
✨Tip Number 1
Network like a pro! Reach out to connections in the financial services sector and let them know you're on the hunt for a Data Business Analyst role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your data processes knowledge. Be ready to discuss how you've tackled challenges in data flows and quality in past roles. Show them you’re not just a candidate, but a problem-solver!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation and reiterate your interest in the role. It keeps you fresh in their minds and shows your enthusiasm.
✨Tip Number 4
Apply through our website for the best chance at landing that contract! We make it easy for you to showcase your skills and experience directly to employers looking for someone just like you.
We think you need these skills to ace Data Business Analyst - Financial Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Business Analyst role. Highlight your experience with data processes and CRM technology, as these are key for us in this position.
Showcase Relevant Experience: When writing your application, focus on your background in financial services. We want to see how you've tackled data challenges before, so share specific examples that demonstrate your skills.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and make sure your achievements stand out.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Data Freelance Hub
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data processes, flows, and governance, especially within financial services. Be ready to discuss specific examples from your past experience where you've improved data quality or optimised processes.
✨Familiarise Yourself with CRM Systems
Since the role involves ensuring accurate data translation into a CRM, it’s crucial to have a solid understanding of CRM technology. If you’ve worked with any specific systems before, be prepared to share how you’ve used them to enhance data handling.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to identify challenges in data processes. Think of scenarios where you faced data-related issues and how you approached solving them. This will showcase your analytical skills and proactive mindset.
✨Showcase Your Communication Skills
As a Data Business Analyst, you'll need to communicate complex data insights clearly. Practice explaining technical concepts in simple terms, as you may need to present your findings to non-technical stakeholders during the interview.
