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- 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 data analysis, SQL Server, and Excel; loans experience is a plus.
- Other info: This role offers a fantastic opportunity for growth in a reputable industry.
The predicted salary is between 46800 - 78000 £ 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.
Technical Business Data Analyst - Financial Services employer: LinkedIn
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 discussions 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 ready 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 mention it in conversations. This niche knowledge can be a significant advantage, so prepare examples of how you've applied this expertise in past roles.
✨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: Before applying, make sure to thoroughly understand the responsibilities of a Technical Business Data Analyst in the financial services sector. Familiarise yourself with data mapping, transformation, and analysis, as well as the importance of data governance and compliance.
Tailor Your CV: Highlight your relevant experience in data analysis and business analysis. Emphasise your skills in SQL Server and Excel, and if you have any experience with Loans or Loan IQ, make sure to include that prominently.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the specific requirements of the job. Mention your experience in financial services and how it aligns with the needs of the company. Be sure to express your enthusiasm for the role and the opportunity to contribute to the loans transformation programme.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a role that involves data integrity and quality.
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 data governance. Being able to speak knowledgeably about industry trends and challenges will impress your interviewers.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare examples of how you've ensured data quality and integrity in past roles, especially in complex data environments.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the role and the company. Inquire about their data governance practices or the tools they use for data analysis, which can demonstrate your enthusiasm and engagement.
