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: Competitive salary of £26,000 and opportunities for skill development.
- Why this job: Perfect for proactive learners who enjoy problem-solving and want to make an impact.
- Qualifications: Degree in a STEM subject and experience with SQL and Excel required.
- Other info: Ideal for self-motivated individuals eager to grow in a dynamic environment.
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.
Graduate Data Analyst employer: KFS Recruitment
Contact Detail:
KFS Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Analyst
✨Tip Number 1
Familiarise yourself with Microsoft SQL Server Management Studio. Practising querying data and cleaning datasets will give you a solid foundation, which is crucial for the role.
✨Tip Number 2
Brush up on your Python skills, especially in data manipulation. Consider working on small projects or contributing to open-source projects to showcase your coding abilities.
✨Tip Number 3
Develop your Excel skills further, focusing on functions and pivot tables. Being able to efficiently organise and clean data will set you apart from other candidates.
✨Tip Number 4
Showcase your analytical mindset by engaging in problem-solving activities. Whether it's through online challenges or case studies, demonstrating your ability to think critically will impress potential employers.
We think you need these skills to ace Graduate Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasise your analytical background, proficiency in SQL, and any experience with Python or data visualisation tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your motivation for the role and your interest in data analysis. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to work with data.
Showcase Relevant Skills: In your application, clearly outline your technical skills, especially in SQL and Excel. Provide examples of how you've used these skills in previous roles or academic projects to solve problems or analyse data.
Proofread Your Application: Before submitting, carefully proofread your application 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
Make sure to brush up on your SQL knowledge before the interview. Be prepared to discuss your experience with SQL Server Management Studio and any specific queries you've written in the past. This will demonstrate your technical proficiency and readiness for the role.
✨Demonstrate Analytical Thinking
Prepare examples of how you've approached data analysis in previous roles or projects. Highlight your problem-solving skills and how you’ve used data to make informed decisions. This will show that you have the analytical mindset they are looking for.
✨Be Ready to Discuss Data Cleaning Techniques
Since cleaning data is a key responsibility, be ready to explain your process for identifying and removing erroneous data points. Discuss any tools or methods you’ve used to ensure data quality, as this will reflect your attention to detail.
✨Express Your Curiosity and Willingness to Learn
The company values self-motivated individuals who are keen to learn new skills. Share instances where you've taken the initiative to learn something new, especially in coding or data analysis. This will align with their desire for a proactive team member.
