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- Tasks: Turn data into insights that drive business decisions and build impactful dashboards.
- Company: Dynamic organisation focused on innovation and commercial performance.
- Benefits: Direct impact on strategy, exposure to senior stakeholders, and clear career progression.
- Other info: Join a culture that values insight, clarity, and continuous learning.
- Why this job: Gain real-world experience in analytics and make a difference from day one.
- Qualifications: Degree in relevant field and strong analytical skills.
The predicted salary is between 28800 - 48000 £ per year.
I'm looking for a commercially minded Data Analyst who loves turning data into meaningful insights that drive business decisions. You’ll work across the organisation analysing performance, identifying trends, and building dashboards that help us understand what makes us successful — and where we can improve. This is a brilliant opportunity for someone early in their career who wants real exposure to strategy, operations, and commercial performance.
What you’ll be doing:
- Analyse internal data to uncover trends and opportunities
- Build dashboards and reports to support decision‑making
- Partner with commercial and operational teams
- Improve data quality, models, and performance metrics
- Present clear, actionable insights to stakeholders
Qualifications:
- Degree (or equivalent experience) in Maths, Data Science, Statistics, Economics, Business Analytics or similar
- Strong analytical thinking and attention to detail
- Interest in commercial performance and storytelling with data
- Ability to communicate insights to non‑technical audiences
- Curious, proactive, and eager to learn
- Powerbi and SQL
Benefits and next steps:
- Direct impact on business strategy
- Exposure to senior stakeholders
- Clear progression into Data Science or Senior Analytics roles
- A culture that values insight, clarity, and innovation
Data analyst in London employer: Xcede Recruitment Solutions
Contact Detail:
Xcede Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have a lead on that perfect Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best dashboards and analyses. This is your chance to demonstrate how you turn data into actionable insights that drive business decisions.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain your analytical process and how your insights can impact commercial performance. Remember, it’s all about making data relatable!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are proactive and eager to join our team. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace Data analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and any relevant experience. We want to see how you've turned data into insights before, so don’t hold back on those examples!
Show Your Passion for Data: In your cover letter, let us know why you love working with data. Share a story about a time you uncovered a trend or made a decision based on your analysis — it’ll help us see your enthusiasm!
Keep It Clear and Concise: When writing your application, be straightforward. Use clear language and avoid jargon. Remember, we’re looking for someone who can communicate insights to non-technical audiences, so show us you can do that right from the start!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Xcede Recruitment Solutions
✨Know Your Data Tools
Make sure you’re familiar with Power BI and SQL, as these are key tools for the role. Brush up on your skills and be ready to discuss how you've used them in past projects or coursework.
✨Showcase Your Analytical Mindset
Prepare examples of how you've turned data into actionable insights. Think about specific instances where your analysis led to a decision or improvement. This will demonstrate your analytical thinking and attention to detail.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll need to present insights to non-technical audiences, so being able to tell a compelling story with your data is crucial.
✨Be Curious and Proactive
Show your eagerness to learn by asking insightful questions about the company’s data practices and challenges. This not only shows your interest but also your proactive approach to problem-solving.