At a Glance
- Tasks: Join a dynamic team to analyse and transform complex data sets in financial services.
- Company: Work with a leading financial services client on innovative loan transformation projects.
- Benefits: Enjoy remote work options and competitive pay of up to £650/day.
- Why this job: Be part of a long-term contract that enhances your skills in data governance and compliance.
- Qualifications: Strong background in technical business analysis, data mapping, and SQL Server required.
- Other info: Loans experience is a plus; this role offers great career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
My leading financial services client are looking for a Technical Business Data Analyst to work on a large Loans transformation programme. You will perform data mapping, transformation, and advanced analysis on large and complex data sets. Ensuring data quality, integrity and consistency by enforcing best practices in data governance, security and compliance across the systems.
This is a brilliant long-term contract opportunity!
The following skills/experience is required:
- Strong Technical Business Analyst / Data Analyst background
- Strong Data mapping and modelling
- SQL Server and Excel
- Loans experience is desirable (Loan IQ)
- Financial Services background
Rate: Up to £650/day
Duration: 6 months +
Location: London (good work from home options available)
If you are interested in this Technical Business Data Analyst position and meet the above requirements please apply immediately.
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Business Data Analyst - Financial Services
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL Server and Excel. Being able to demonstrate your proficiency in these areas during interviews can set you apart from other candidates.
✨Tip Number 2
Highlight any previous experience you have with data mapping and transformation, especially in the context of financial services. Be prepared to discuss specific projects where you've successfully managed large data sets and ensured data quality.
✨Tip Number 3
If you have experience with Loans or Loan IQ, make sure to emphasise this in your conversations. Understanding the nuances of loans can be a significant advantage in this role, so be ready to share relevant examples.
✨Tip Number 4
Network with professionals in the financial services sector, particularly those who work with data analysis. Engaging with industry peers can provide insights into the role and may even lead to referrals that could help you land the job.
We think you need these skills to ace Technical Business Data Analyst - Financial Services
Some tips for your application 🫡
Understand the Role: Read the job description carefully to grasp the specific requirements for the Technical Business Data Analyst position. Focus on the skills mentioned, such as data mapping, SQL Server, and experience in financial services.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your background in data analysis, particularly any work with loans or financial services.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and explains how your skills meet the company's needs. Mention your experience with data governance and compliance, as these are crucial for the position.
Proofread Your Application: Before submitting, thoroughly proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise to make a strong impression.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL Server and Excel during the interview. Be prepared to discuss specific projects where you performed data mapping and transformation, as this will demonstrate your technical proficiency.
✨Understand the Financial Services Landscape
Familiarise yourself with the financial services sector, particularly in relation to loans and any relevant regulations. This knowledge will help you answer questions more effectively and show that you are genuinely interested in the industry.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to ensure data quality and integrity. Think of examples from your past experiences where you enforced best practices in data governance and compliance.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data governance practices and the Loans transformation programme. This not only shows your interest but also helps you gauge if the role aligns with your career goals.