At a Glance
- Tasks: Analyse data to support business decisions and identify growth opportunities.
- Company: Join Royal Mail Group, a diverse and inclusive workplace.
- Benefits: Enjoy 25 days annual leave, competitive salary, and family-friendly support.
- Other info: Collaborative culture with excellent career growth opportunities.
- 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 in Crick employer: Royal Mail Group
Royal Mail Group is an exceptional employer, offering a supportive work culture that prioritises employee wellbeing and growth. With competitive salaries, generous annual leave, and a range of family-friendly benefits, employees are empowered to thrive both personally and professionally. The Midlands/London locations provide a dynamic environment where data-driven insights play a crucial role in shaping business decisions, making it an ideal place for aspiring data analysts to develop their skills and contribute to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Analyst - Midlands/London in Crick
✨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 or even a referral.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use examples from your studies or projects to demonstrate how you can analyse data and present insights effectively.
✨Tip Number 3
Don’t just apply through job boards; head over to our website and submit your application directly. It shows initiative and gives you a better chance of standing out!
✨Tip Number 4
Follow up after interviews with a thank-you email. It’s a simple way to express your appreciation and keep your name fresh in the interviewer's mind. Plus, it shows you’re genuinely interested in the role!
We think you need these skills to ace Graduate Data Analyst - Midlands/London in Crick
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 tools like Excel or SQL. We want to see how you can bring value to our team!
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 your background fits with our needs. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on any relevant projects, whether in university or on your own, make sure to mention them. We’re interested in how you’ve applied your skills in real-world scenarios, so don’t hold back on the details!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at Royal Mail Group
✨Know Your Data
Before the interview, brush up on your data analysis skills. Familiarise yourself with common data sets and be ready to discuss how you would approach analysing them. This will show that you’re not just a number cruncher but someone who can derive meaningful insights.
✨Excel is Your Best Friend
Since good Excel skills are crucial for this role, practice using advanced functions and pivot tables. Be prepared to demonstrate your proficiency during the interview, as it’s likely they’ll want to see how you handle large datasets.
✨Communicate Clearly
You’ll need to present insights in a simple and engaging way, so practice explaining complex data concepts in layman's terms. Think of examples from your studies or previous experiences where you successfully communicated findings to non-technical audiences.
✨Show Your Collaborative Spirit
This role involves working closely with cross-functional teams, so be ready to share examples of how you’ve collaborated in the past. Highlight any projects where teamwork led to successful outcomes, demonstrating your ability to work effectively with others.
