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- Tasks: Join us as a Logistics Data Analyst, optimising our network with data insights and Power BI dashboards.
- Company: Be part of Royal Mail, a historic logistics operation transforming for the modern world.
- Benefits: Enjoy 25 days annual leave, a competitive pension scheme, and family-friendly support.
- Why this job: This role offers a clear career path and the chance to drive impactful change in logistics.
- Qualifications: A degree in data science or related field, plus skills in Excel and Power BI are essential.
- Other info: We value diversity and support adjustments during the hiring process.
The predicted salary is between 31700 - 46200 £ per year.
Job reference 325501
Logistics Data Analyst
From £39,777, 10% annual bonus potential,25 days annual leave plus bank holidays rising with serve and a company pension scheme with highly competitive contribution rates
Permanent, Full time
Requirment to attend our Farringdon office at least 2 days per week
We are going through one of the most exciting periods in its history, with the transformation team at the centre of the change. The Network Modelling Team is at the forefront of optimising our network, through design and modelling on cutting edge supply chain technology, to adapt the most iconic and historic logistics operation in the country to the fast-paced demands of the modern world. There has never been a better time to join us.
About the Role
As a Logistics Data Analyst, you’ll report to the Strategic Network Modelling Senior Manager and support the development of repeatable network models and analytical tools. You’ll work with large datasets to deliver insights, build Power BI dashboards, and support strategic decision-making across Royal Mail’s transformation programme. We are building our in house capabilities, with this role seen as a key development role, with a clear longer term succession pathway.
Key Responsibilities:
• Design and develop network models to support strategic planning.
• Process and prepare data for use in Llamasoft Supply Chain Guru (SCG).
• Analyse network performance and identify opportunities for improvement.
• Build Power BI applications to visualise model outputs and insights.
• Learn and apply Data Guru (part of the SCG suite) for data processing.
• Deliver repeatable, streamlined, and controlled data processes.
• Explore and implement automation opportunities to enhance data workflows.
About You
You’re a curious and analytical thinker with a strong foundation in data science and logistics. You’re comfortable working with complex datasets, visualising insights, and collaborating across teams to drive transformation.
What You’ll Bring:
• Highly inquisitive mindset with strong attention to detail.
• Excellent interpersonal and data presentation skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Advanced skills in Excel and Power BI (Data Guru/Alteryx desirable).
• Experience in logistics operations, ideally in mail, parcel, or network environments.
• Proven ability to design and build data models and deliver actionable insights.
• Degree in data science, mathematics, technology, or a related analytical field.
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.
*Available only to perm employees
Next Steps
The next stage of the selection process will be a face to face interview consisting of competency based and role specific questions.
Trust forms the foundation of everything we do in Royal Mail. We want to be transparent about what kind of qualities we are looking for and build trust from the very beginning of your journey with us. The first step is your interview, and we mean ‘your’ interview. We want to give you the opportunity to shine. To enable you to do this, we will provide you with your interview questions ahead of the interview taking place. This will allow you time to prepare, and ensure you have your best examples in mind. Royal Mail Group values both trust, and our people.
We don’t expect every candidate to meet the full criteria for the role. If your experience looks a little different from the job requirements, but you feel you have the relevant skills to bring value to the role, we’d love to learn more about you.
Royal Mail are proud of our diverse employee network groups and the active role they play to support belonging and encourage a positive work environment. We are firmly committed to inclusion and passionate about our people representing the communities we serve.
We are happy to support your need for any adjustments during the application and hiring process. Please share the details within your application if required.
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.
For more information on Royal Mail Group and our values please click here:
Closing Date: 20th July. Please note, this advert may close early if the appropriate number of applications has been reached.
#LI-POST #RMG #LIMRT #LI-Hybrid
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Logistics Data Analyst employer: None
Contact Detail:
None Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Logistics Data Analyst
✨Tip Number 1
Familiarise yourself with Llamasoft Supply Chain Guru and Power BI, as these tools are crucial for the role. Consider taking online courses or tutorials to enhance your skills in these areas, which will demonstrate your commitment and readiness for the position.
✨Tip Number 2
Prepare to discuss your experience with data analysis and logistics during the interview. Think of specific examples where you've successfully managed complex datasets or improved processes, as this will showcase your analytical thinking and problem-solving abilities.
✨Tip Number 3
Research Royal Mail's current transformation initiatives and network optimisation strategies. Being knowledgeable about their goals and challenges will allow you to tailor your responses and show how you can contribute to their success.
✨Tip Number 4
Practice your interpersonal and data presentation skills. Since the role involves collaboration across teams, being able to communicate insights effectively is key. Consider mock interviews or presentations to refine your delivery and confidence.
We think you need these skills to ace Logistics Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, logistics, and any specific tools mentioned in the job description, such as Power BI and Excel. Use keywords from the job listing to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your analytical mindset and attention to detail. Mention specific examples of how you've used data to drive decision-making or improve processes in previous roles, aligning with the responsibilities outlined in the job description.
Prepare for the Interview: Since the company provides interview questions in advance, take this opportunity to prepare thoughtful responses. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on your experiences related to logistics and data analysis.
Showcase Your Skills: If you have experience with Llamasoft Supply Chain Guru or similar tools, be sure to mention it in your application. Highlight any projects where you've built data models or visualised insights, as these are key aspects of the role.
How to prepare for a job interview at None
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Logistics Data Analyst. Familiarise yourself with network modelling, data analysis, and tools like Power BI and Llamasoft Supply Chain Guru. This will help you answer questions confidently and demonstrate your knowledge.
✨Prepare Your Examples
Since the interview will include competency-based questions, prepare specific examples from your past experiences that showcase your analytical skills, attention to detail, and ability to manage multiple priorities. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Show Your Curiosity
The company values a curious mindset, so be ready to discuss how you've approached problem-solving in the past. Share instances where you identified opportunities for improvement or implemented automation in data workflows, as this aligns with their goals.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the team, the transformation programme, or the company's future plans. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
