Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our data analytics team to query, clean, and analyse data using SQL and Python.
- Company: A well-established Buy-to-Let Lender with a strong brand identity in financial services.
- Benefits: Enjoy a competitive salary of £26,000 and opportunities for skill development.
- Why this job: Be part of a dynamic team where your analytical skills can shine and make an impact.
- Qualifications: Degree in a STEM subject and experience with SQL and Excel are preferred.
- Other info: Ideal for self-motivated problem solvers eager to learn and grow.
The predicted salary is between 20800 - 36400 £ per year.
We are working with a well established Buy-to-Let Lender with a strong brand identity. They are looking for a highly motivated individual with a numerical and analytical background to join our expanding data analytics team.
The ideal candidate will be proactive, keen to learn new skills, have an interest in coding, a self-motivated problem solver, analytically thinking, efficient, with strong inter-personal skills and a can-do attitude who is committed to meeting deadlines whilst producing high quality work.
Key Responsibilities- Query data from the company database using Microsoft SQL Server Management studio.
- Clean data to remove any erroneous data points that could potentially impact the conclusions drawn from the data set.
- Perform initial analysis to assess the quality of data.
- Organise the data into a format that is readable and understandable for other teams within the company, using tools to visualise the data if required.
- Prepare reports based on analysis.
- Use an analytical mindset to carry out tasks which may not involve data analysis in other areas of the company when required.
- Assist and support the team with data requirements.
- Use coding language skills to collate and manipulate data i.e. Python.
- Experience using SQL.
- Strong academic background, ideally, educated to degree level in a STEM subject.
- Strong Microsoft Excel experience with the ability to organise and clean data using skills such as functions and pivot tables.
- Self-educating, curious and pragmatic, solution-oriented mind-set.
- Experience in a previous data analyst role and in Python would be beneficial.
Contact Detail:
KFS Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with Microsoft SQL Server Management Studio if you haven't already. Practising querying data and cleaning datasets will give you a solid foundation to showcase your skills during the interview.
✨Tip Number 2
Brush up on your Python coding skills, especially in data manipulation and analysis. Being able to demonstrate your ability to use Python effectively can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your previous experiences with data analysis. Think of specific examples where you solved problems or improved processes using your analytical skills, as this will highlight your proactive nature.
✨Tip Number 4
Showcase your interpersonal skills by being ready to discuss how you've collaborated with other teams in the past. Emphasising your ability to communicate complex data insights clearly will be crucial for this role.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role. Emphasise your proficiency in SQL, Excel, and any coding languages like Python, as well as your analytical mindset.
Craft a Compelling Cover Letter: Write a cover letter that showcases your motivation for the role and your interest in data analytics. Mention specific experiences where you've successfully used your analytical skills or solved problems, and express your eagerness to learn and grow within the team.
Showcase Relevant Projects: If you have worked on any projects involving data analysis, be sure to include them in your application. Describe your role, the tools you used (like SQL or Python), and the outcomes of your work to demonstrate your practical experience.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at KFS Recruitment
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. You might be asked to solve a problem or write a query on the spot, so brush up on your SQL Server Management Studio skills and be ready to demonstrate your knowledge.
✨Demonstrate Analytical Thinking
During the interview, highlight your analytical mindset. Share examples of how you've approached data cleaning and analysis in the past, and be ready to explain your thought process when tackling complex problems.
✨Prepare for Technical Questions
Expect questions related to data manipulation and coding, particularly in Python. Review common coding challenges and be ready to discuss how you’ve used Python in previous roles to collate and manipulate data.
✨Emphasise Team Collaboration
Since strong inter-personal skills are essential for this role, be sure to share experiences where you've successfully collaborated with other teams. Discuss how you’ve communicated complex data findings in an understandable way to non-technical colleagues.
