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- Tasks: Join our analytics team to extract, clean, and analyse data for impactful business decisions.
- Company: A leading lender in the UK mortgage market with a supportive and dynamic work culture.
- Benefits: Enjoy great benefits, including opportunities for skill development and a collaborative environment.
- Why this job: Perfect for grads eager to grow their analytical skills in a fast-paced, team-oriented setting.
- Qualifications: Strong SQL skills, Excel proficiency, and a degree in a STEM discipline preferred.
- Other info: Experience with Python is a plus; we value curiosity and a methodical approach.
The predicted salary is between 28800 - 48000 £ per year.
Based in Maidstone. Perfect role for a Grad! Great benefits! A well-established lender in the UK mortgage market is seeking a proactive and detail-oriented Data Analyst to join their growing analytics team in Maidstone. This is an excellent opportunity for someone with a strong analytical background, a keen interest in data, and a drive to develop their technical skills within a supportive and fast-paced environment.
In this role, you will be working closely with internal teams to extract, clean, analyse, and visualise data that informs business decisions and supports ongoing projects. You’ll be using SQL and Python to query and manipulate data, while presenting insights in a clear and actionable format. The successful candidate will thrive in a team environment, be comfortable with deadlines, and maintain high standards of accuracy and clarity in their work.
Key Responsibilities- Extract data using SQL from internal systems
- Clean and prepare datasets, removing anomalies or errors
- Assess data quality and identify any inconsistencies
- Format and present data in a clear and accessible way for wider business use
- Create regular and ad hoc reports to support business initiatives
- Use Python and other tools for data manipulation and analysis
- Collaborate with other teams to respond to data-related requests
- Contribute to projects outside of core analysis work where required
- Strong SQL skills and experience with data querying
- Highly proficient in Excel, including functions and pivot tables
- Educated to degree level in a STEM discipline (preferred)
- Knowledge or experience of Python is advantageous
- Analytical thinker with a methodical approach to problem-solving
- Strong attention to detail and commitment to accuracy
- Excellent interpersonal and communication skills
- Able to manage and prioritise workload effectively
- Curious, self-motivated, and eager to learn new skills
Apply Now!
Data Analyst employer: Talent Guardian
Contact Detail:
Talent Guardian Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with SQL and Python by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also give you practical examples to discuss during interviews.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who work in the mortgage or finance sectors. Attend industry meetups or webinars to gain insights and potentially get referrals for job openings.
✨Tip Number 3
Prepare to demonstrate your analytical thinking and problem-solving skills through case studies or real-world scenarios. Be ready to explain your thought process and how you approach data-related challenges.
✨Tip Number 4
Showcase your attention to detail by discussing specific instances where you identified and corrected data inconsistencies in past projects. This will highlight your commitment to accuracy, which is crucial for the role.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills, particularly your experience with SQL and Python. Include specific projects or coursework that demonstrate your ability to extract, clean, and analyse data.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background in a STEM discipline aligns with their needs and provide examples of your problem-solving abilities and attention to detail.
Showcase Relevant Skills: Emphasise your proficiency in Excel and any experience you have with data visualisation tools. Highlight your ability to present data clearly and your experience working collaboratively with teams.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no spelling or grammatical errors, and that all information is accurate and well-organised to reflect your commitment to quality.
How to prepare for a job interview at Talent Guardian
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. You might be asked to solve a problem or explain how you've used SQL in past projects. Practising common SQL queries beforehand can help you feel more confident.
✨Demonstrate Your Analytical Thinking
During the interview, highlight your analytical skills by discussing specific examples where you've solved complex problems using data. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Prepare for Technical Questions
Expect questions related to Python and data manipulation. Brush up on your Python knowledge and be ready to explain how you've used it in previous roles or projects. If you're not an expert, show your willingness to learn and adapt.
✨Communicate Clearly and Effectively
Since the role involves presenting data insights, practice explaining complex data concepts in simple terms. Good communication skills are essential, so ensure you articulate your thoughts clearly during the interview.
