At a Glance
- Tasks: Analyse data to support business decisions and identify growth opportunities.
- Company: Join a leading organisation committed to diversity and inclusion.
- Benefits: Enjoy 25 days annual leave, competitive salary, and family-friendly support.
- Other info: Collaborative culture with excellent career growth and wellbeing support.
- Why this job: Make an impact with data insights in a fast-paced environment.
- Qualifications: Degree in Maths, Data Science, or related field; strong analytical skills required.
The predicted salary is between 30000 - 40000 € per year.
Competitive salary, 25 days annual leave plus bank holidays rising with service and a company pension scheme with highly competitive contribution rates.
About the role:
- Analyse commercial, operational and compliance data to support business decision-making.
- Produce reports on revenue, volumes and market trends to identify opportunities for growth.
- Build and maintain dashboards to provide visibility of key performance indicators.
- Deliver ad-hoc analysis and insights to support fast-paced business needs.
- Support data quality by cleaning, validating and reconciling multiple data sources.
- Work closely with cross-functional teams to ensure data is accurate and aligned.
- Identify opportunities to improve processes and performance through data-driven insights.
About you:
- Degree in Mathematics, Data Science, Statistics or a related analytical discipline.
- Strong analytical and problem-solving skills with high attention to detail.
- Good Excel skills with ability to work with and interpret large datasets.
- Clear communicator, able to present insights in a simple and engaging way.
- Comfortable working in a fast-paced environment with multiple priorities.
- Collaborative and able to work effectively with cross-functional teams.
- Knowledge of SQL or data visualisation tools (e.g. Qlik, Tableau) is desirable.
Extra Benefits:
- Family friendly support – enhanced maternity pay, paternity leave, adoption leave and shared parental leave.
- Supportive and generous company sick pay.
- Funded Dental – As a manager you are eligible for employer-funded dental insurance.
- Health Assessment – As a manager you are eligible for an employer-funded health assessment every two years.
- Benefits Account – Access to a personal benefits account on our My Bundle+ platform with more than 800 retail offers.
- Your Wellbeing – 24/7 access to services and tools to help you and your family get the most out of life.
Royal Mail Group is committed to inclusion and representing the diverse communities we serve. We welcome applications from all individuals. We are committed to ensuring an inclusive recruitment process. If you require any adjustments to support you during the hiring process, please discuss these with your recruiter when contacted.
Closing Date: 4th June 2026. Please note, this advert may close early if the appropriate number of applications has been reached.
Graduate Data Analyst - Midlands/London employer: Royal Mail Group
Royal Mail Group is an exceptional employer, offering a dynamic work environment in the Midlands/London that fosters collaboration and innovation. With a strong commitment to employee wellbeing, generous benefits including enhanced family support, and opportunities for professional growth, we empower our Graduate Data Analysts to thrive while making impactful contributions to our business. Join us to be part of a diverse team dedicated to excellence and community representation.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst - Midlands/London
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or connections in the industry. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects. Use platforms like GitHub or personal websites to display your work, making it easier for employers to see what you can do.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Think about how you can demonstrate your analytical skills and problem-solving abilities with real-life examples from your studies or internships.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Graduate Data Analyst - Midlands/London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Graduate Data Analyst role. Highlight your analytical skills, relevant coursework, and any experience with data analysis tools like Excel or SQL. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our team. Keep it engaging and make sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Analytical Skills:In your application, don’t just say you have strong analytical skills—show us! Include examples of how you've used data to solve problems or improve processes in the past. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, you’ll find all the info you need about the role right there!
How to prepare for a job interview at Royal Mail Group
✨Know Your Data
Make sure you brush up on your analytical skills and be ready to discuss how you've worked with data in the past. Familiarise yourself with common data analysis techniques and be prepared to explain how you would approach analysing commercial or operational data.
✨Excel is Your Best Friend
Since good Excel skills are a must, practice using functions, pivot tables, and data visualisation tools. Be ready to demonstrate your ability to interpret large datasets and maybe even share a quick example of a report you've created.
✨Communicate Clearly
You’ll need to present insights in a simple and engaging way, so practice explaining complex data findings in layman's terms. Think about how you can make your communication clear and concise, especially when discussing your previous projects.
✨Collaborate and Adapt
Show that you can work well with cross-functional teams by preparing examples of past collaborations. Also, be ready to discuss how you handle fast-paced environments and multiple priorities, as this role will require you to juggle various tasks efficiently.
