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- Tasks: Analyse data, create dashboards, and present insights to senior stakeholders.
- Company: Join Royal Mail, a trusted name in logistics with a commitment to innovation.
- Benefits: Enjoy 25 days leave, a competitive pension, and discounts on over 800 offers.
- Why this job: Shape the future of logistics while working in a supportive, inclusive environment.
- Qualifications: Strong analytical skills and experience with data tools like Python and Power BI required.
- Other info: Flexible hybrid work model with opportunities for personal and professional growth.
The predicted salary is between 38000 - 51000 £ per year.
Job reference 326071
Logistics Data Analyst – London/Hybrid
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 – 2/3 days per week in office
An exciting opportunity has arisen to join Royal Mail as a Network Analyst. The Network Modelling team, within the wider Operations Strategy team, is responsible for developing models and analytical tools to support strategic network design projects.
As a Network Modelling Analyst, you will be responsible for delivering data analysis, visualisation & insights to identify value opportunities as part of the critical Operation Transformation Programme, playing a key role in shaping the future of Royal Mail.
About the role
In this position you\’ll:
Analyse and manipulate large quantities of data, often from different sources and turn it into clean information with which managers can take action
Present insights to senior stakeholders, resulting from data analysis and visualisation of a large and complex environment
Manage data collection and tracking to enable strategic modelling
Developing bespoke dashboards to answer key strategic questions from senior stakeholders
Build key internal stakeholder relationships particularly in modelling, data, finance, property to navigate systems and source data
About you
Strong analytical and/or numerical background
Experience of handling large data sets; analysis, data scrubbing, summarizing
Skilled in analytics applications such as Python, R, Business Objects, Power BI & Qlik
Data presentation; visualization, implication of insights & opportunities
Ability to engage and involve others and be able to work across teams from different disciplines, functions and business units
Good level of project/time management skills
Excellent oral and written communication skills – in particular an ability to explain technical subjects to non-specialists and senior stakeholders
A graduate qualification in a STEM subject or similar, or equivalent relevant experience
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 or virtual interview consisting of competency based and role specific questions.
Trust is the foundation of Royal Mail / Parcelforce / RM Property and Facilities Solutions . 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.
For more information on Royal Mail Group and our values please click here:
Closing Date: 24th July 2025. Please note, this advert may close early if the appropriate number of applications has been reached.
#LI-Hybrid #LI-POST #LIMRT
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Logistics Data Analyst - London/Hybrid employer: Royal Mail Group
Contact Detail:
Royal Mail Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Logistics Data Analyst - London/Hybrid
✨Tip Number 1
Familiarise yourself with the key analytics tools mentioned in the job description, such as Python, R, Power BI, and Qlik. Having hands-on experience or even completing a relevant project using these tools can significantly boost your confidence and demonstrate your capabilities during the interview.
✨Tip Number 2
Prepare to discuss specific examples of how you've handled large data sets in the past. Think about challenges you faced, how you overcame them, and the impact your analysis had on decision-making. This will show your analytical skills and ability to present insights effectively.
✨Tip Number 3
Build a solid understanding of the logistics and operations sector, particularly how data analysis can drive strategic decisions. Being able to speak knowledgeably about industry trends and challenges will impress your interviewers and show your genuine interest in the role.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms, as you'll need to communicate insights to non-specialists. Role-play with a friend or family member to refine your communication skills, ensuring you can convey your findings clearly and effectively during the interview.
We think you need these skills to ace Logistics Data Analyst - London/Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Logistics Data Analyst role. Focus on your analytical background, data handling capabilities, and any experience with tools like Python, R, or Power BI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to analyse and present data effectively, as well as your communication skills.
Prepare for the Interview: Since the interview will consist of competency-based and role-specific questions, prepare examples from your past experiences that showcase your analytical skills and ability to work across teams. Practice explaining technical concepts in simple terms.
Highlight Your Soft Skills: In your application, emphasise your project management skills and your ability to build relationships with stakeholders. These soft skills are crucial for the role and can set you apart from other candidates.
How to prepare for a job interview at Royal Mail Group
✨Know Your Data Tools
Familiarise yourself with the analytics applications mentioned in the job description, such as Python, R, Power BI, and Qlik. Be prepared to discuss your experience with these tools and how you've used them to analyse large data sets.
✨Prepare for Competency Questions
Since the interview will consist of competency-based questions, think of specific examples from your past experiences that demonstrate your analytical skills, project management abilities, and communication skills. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Visualisation Skills Matter
As a Logistics Data Analyst, presenting insights effectively is crucial. Prepare to showcase your data visualisation skills by discussing how you've turned complex data into clear, actionable insights for stakeholders in previous roles.
✨Build Relationships
Highlight your ability to engage with various teams and stakeholders. Think of examples where you successfully collaborated across different functions, as this role requires building key internal relationships to navigate systems and source data.
