At a Glance
- 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.
- Other info: Inclusive recruitment process; we welcome diverse applicants and offer interview prep support.
- 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.
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
#J-18808-Ljbffr
Logistics Data Analyst - London/Hybrid employer: None
Royal Mail is an exceptional employer, offering a dynamic work environment in London with a hybrid model that promotes work-life balance. Employees benefit from generous annual leave, a competitive pension scheme, and extensive family-friendly support, alongside opportunities for professional growth within a collaborative and inclusive culture. With a commitment to employee wellbeing and a focus on trust and transparency, Royal Mail fosters a rewarding workplace where your contributions directly impact the future of the organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Logistics Data Analyst - London/Hybrid
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like None!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Logistics Data Analyst - London/Hybrid
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at None, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at None
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with None’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
