Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: As a Logistics Data Analyst, you'll analyse data and build dashboards to optimise our logistics network.
- Company: Join Royal Mail, a historic leader in logistics, undergoing an exciting transformation.
- Benefits: Enjoy competitive pay, bonuses, 25 days leave, and family-friendly support.
- Why this job: Be part of a dynamic team driving change with cutting-edge technology 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 offer interview prep to help you shine.
The predicted salary is between 33000 - 45000 £ per year.
Join to apply for the Logistics Data Analyst role at Royal Mail
Join to apply for the Logistics Data Analyst role at Royal Mail
Get AI-powered advice on this job and more exclusive features.
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: Date: 20th July. Please note, this advert may close early if the appropriate number of applications has been reached.
#RMG
Seniority level
-
Seniority level
Entry level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Freight and Package Transportation
Referrals increase your chances of interviewing at Royal Mail by 2x
Sign in to set job alerts for “Data Analyst” roles.
London, England, United Kingdom 6 days ago
London, England, United Kingdom £30,000.00-£45,000.00 1 month ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 20 hours ago
London, England, United Kingdom 2 days ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 week ago
Greater London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 weeks ago
London Area, United Kingdom £23.00-£25.00 23 hours ago
Data Analyst, EMEA Supply Chain Operations – 1 Year Fixed Contract
London, England, United Kingdom 1 day ago
London, England, United Kingdom 5 days ago
Billericay, England, United Kingdom 17 hours ago
London, England, United Kingdom 3 days ago
London, England, United Kingdom 4 days ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 3 weeks ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Logistics Data Analyst employer: Royal Mail
Contact Detail:
Royal Mail Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Logistics Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like Llamasoft Supply Chain Guru and Power BI. Having hands-on experience or even completing online tutorials can give you a significant edge during the interview.
✨Tip Number 2
Prepare to discuss your analytical skills and how you've used data to drive decisions in previous roles. Think of specific examples where your insights led to improvements, as this will resonate well with the interviewers.
✨Tip Number 3
Research Royal Mail's current transformation initiatives and be ready to share your thoughts on how data analysis can support their goals. Showing that you understand their vision will demonstrate your genuine interest in the role.
✨Tip Number 4
Network with current or former employees of Royal Mail, especially those in logistics or data roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your responses during the interview.
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 and logistics. Emphasise your skills in Excel and Power BI, as well as any experience with large datasets or network modelling.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the Logistics Data Analyst role at Royal Mail. Mention specific projects or experiences that demonstrate your analytical skills and how they align with the company's transformation goals.
Showcase Relevant Skills: Clearly outline your technical skills, especially in data processing and visualisation tools like Power BI and Llamasoft Supply Chain Guru. Provide examples of how you've used these tools to drive insights or improvements in previous roles.
Prepare for the Interview: Since Royal Mail provides interview questions in advance, take this opportunity to prepare thoughtful responses. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
How to prepare for a job interview at Royal Mail
✨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 Royal Mail provides interview questions in advance, take this opportunity to prepare specific examples from your past experiences that showcase your analytical skills, attention to detail, and ability to work with complex datasets. Tailor your examples to align with the key responsibilities mentioned in the job description.
✨Show Your Curiosity
Exhibit your inquisitive mindset during the interview. Ask insightful questions about the company's transformation programme and how the Logistics Data Analyst role contributes to it. This shows your genuine interest in the position and the organisation.
✨Highlight Team Collaboration
Emphasise your ability to collaborate across teams. Discuss any previous experiences where you worked with different departments to drive transformation or improve processes. This aligns with the role's requirement for teamwork and communication skills.