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- Tasks: Analyse data, create dashboards, and present insights to shape Royal Mail's future.
- Company: Join Royal Mail, a trusted name in logistics, committed to innovation and community.
- Benefits: Enjoy 25 days leave, hybrid work, family support, and discounts on everyday expenses.
- Why this job: Be part of a transformative team, making a real impact with your analytical skills.
- Qualifications: Strong analytical background, experience with large datasets, and proficiency in analytics tools required.
- Other info: Inclusive recruitment process; we welcome diverse applicants and offer interview prep support.
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: None
Contact Detail:
None 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 applications 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 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 demonstrate 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. Consider doing mock interviews with friends or family to refine your communication skills and ensure you're clear and concise.
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, experience with large data sets, and proficiency in analytics applications like Python and Power BI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your skills can contribute to Royal Mail's Operations Strategy team. Mention specific examples of past projects where you successfully presented insights to stakeholders.
Highlight Communication Skills: Since the role requires explaining technical subjects to non-specialists, emphasise your communication skills in both your CV and cover letter. Provide examples of how you've effectively communicated complex data insights in previous roles.
Prepare for the Interview: Research common competency-based questions and prepare your answers in advance. Use the STAR method (Situation, Task, Action, Result) to structure your responses, ensuring you highlight your analytical skills and teamwork experience.
How to prepare for a job interview at None
✨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 include competency-based questions, think of specific examples from your past experiences that demonstrate your analytical skills, project management abilities, and how you've effectively communicated insights to non-specialists.
✨Understand the Role's Impact
Research how the Network Modelling team contributes to Royal Mail's operations strategy. Be ready to discuss how your role as a Logistics Data Analyst can help shape the future of the company and support its transformation programme.
✨Build Relationships
Highlight your ability to engage with stakeholders across different functions. Prepare examples of how you've successfully collaborated with teams in the past, as this is crucial for managing data collection and tracking.
