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- Tasks: Design and build analytical models, dashboards, and reports to support strategic initiatives.
- Company: Join Royal Mail, a trusted name with a commitment to inclusion and community.
- Benefits: Enjoy a competitive salary, annual bonus, generous leave, and family-friendly support.
- Why this job: Make an impact by delivering insights that drive performance and inform investment decisions.
- Qualifications: Strong analytical skills, experience with large datasets, and proficiency in SQL and data visualisation tools.
- Other info: Dynamic work environment with opportunities for career growth and a focus on wellbeing.
The predicted salary is between 40000 - 50000 £ per year.
Salary £45,574, 10% annual bonus potential, 25 days annual leave plus bank holidays rising with service and a company pension scheme with highly competitive contribution rates. Permanent, Full time. Royal Mail Farringdon.
About The Role
Reporting to the Head of Strategy Development, you’ll design and build analytical models, dashboards, and reports that support forecasting, scenario planning, and strategic initiatives. You’ll work across functions to deliver insights that inform investment decisions and drive performance.
Key Responsibilities
- Collect, clean, and analyse data from multiple sources to support strategic initiatives
- Build predictive models and apply statistical techniques to identify trends and inform long-term planning
- Develop dashboards and visualisations for senior stakeholders, including the Executive Board
- Collaborate with Strategy, Finance, Commercial, and Operational teams to deliver tailored insights
- Automate reporting processes and contribute to a data-driven culture
- Stay current with industry best practices and analytical tools
About You
You’re a curious and detail-oriented analyst with strong technical skills and a collaborative mindset. You thrive in fast-paced environments and enjoy translating complex data into clear, actionable insights.
What You’ll Bring
- Strong analytical or numerical background with experience handling large datasets
- Proficiency in SQL, Google Cloud Platform, and advanced Excel; Python or R desirable
- Experience with data visualisation tools (Power BI, Tableau, or Looker)
- Understanding of statistical methods and their practical application
- Excellent communication skills and ability to explain technical findings clearly
- Degree in Data Science, Statistics, Mathematics, Economics, or similar STEM discipline; Master’s desirable
Extra Benefits
- Family friendly support - enhanced maternity pay, paternity leave, adoption leave and shared parental leave
- Discounts and offers - there are more than 800 offers to help you save on things like groceries, days out, holidays and your household bills
- Supportive and generous company sick pay
- Your Wellbeing - you and your family have 24/7 access to services and tools to help you get the most out of life. From your physical and mental health to financial and social support and advice. It’s free, and it’s for everyone.
Next Steps
The next stage of the selection process will be a face to face/virtual interview consisting of competency based and role specific questions. Trust is the foundation of Royal Mail. We aim to be transparent about the qualities we seek and what a career with us entails, building trust from the start of your journey with us. Your interview is the first step, and we want you to shine. To help you prepare, we’ll provide your interview questions in advance, so you can have your best examples ready.
At Royal Mail Group, we value trust and our people. We understand that candidates may not meet all the criteria for the role. If your experience is different, but you have relevant skills we’d love to hear from you. Royal Mail Group is committed to inclusion and representing the diverse communities we serve. We welcome applications from all individuals.
As a proud Gold signatory to the Armed Forces Covenant, we especially encourage applications from the Armed Forces community, including cadet instructors and spouses/partners. 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.
We are Forces family friendly and a Gold signatory to the Armed Forces Covenant. We welcome applications from ex-Armed Forces personnel, reservists, veterans, cadet instructors and military spouses/partners.
Closing Date: 8th February. Please note, this advert may close early if the appropriate number of applications has been reached.
Data Analyst employer: Royal Mail
Contact Detail:
Royal Mail Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Get to know the company inside out! Research Royal Mail's values, recent projects, and their approach to data analytics. This will help you tailor your responses during the interview and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice makes perfect! Prepare for those competency-based questions by thinking of examples from your past experiences that showcase your analytical skills and teamwork. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 3
Don’t forget to highlight your technical skills! Make sure you can confidently discuss your experience with SQL, Google Cloud Platform, and any data visualisation tools you've used. Being able to explain how you've applied these skills in real-world scenarios will set you apart.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows that you’re proactive and serious about landing this Data Analyst role at Royal Mail. Good luck!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your analytical skills, experience with large datasets, and any relevant tools like SQL or Power BI. 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. Be sure to mention specific projects or experiences that showcase your skills.
Showcase Your Technical Skills: Since this role requires strong technical skills, make sure to list your proficiency in tools like Google Cloud Platform and advanced Excel. If you've worked with Python or R, don't forget to mention that too – we love seeing a diverse skill set!
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s straightforward and ensures your application goes directly to us. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at Royal Mail
✨Know Your Data Tools
Make sure you brush up on your SQL, Google Cloud Platform, and Excel skills before the interview. Be ready to discuss how you've used these tools in past projects, as well as any experience with data visualisation tools like Power BI or Tableau.
✨Prepare for Competency Questions
Since the interview will include competency-based questions, think of specific examples from your previous work that demonstrate your analytical skills and ability to collaborate across teams. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Showcase Your Curiosity
As a data analyst, being curious is key! Be prepared to talk about how you stay current with industry trends and best practices. Mention any recent articles, courses, or tools you've explored that could benefit the role.
✨Communicate Clearly
You’ll need to explain complex data insights to non-technical stakeholders, so practice simplifying your findings. Think about how you can convey your technical knowledge in a way that’s easy to understand, especially for senior management.
