At a Glance
- Tasks: Analyse transport data to drive improvements and optimise operations.
- Company: Join Toll Group, a global leader in logistics with over 130 years of experience.
- Benefits: Enjoy competitive pay, professional development, and a supportive team environment.
- Other info: Collaborative culture with opportunities for growth and diverse challenges.
- Why this job: Make a real impact in logistics while developing your analytical skills.
- Qualifications: 3-5 years in data analytics; proficiency in Power BI, SQL, and Excel.
The predicted salary is between 35000 - 45000 £ per year.
OVERALL PURPOSE OF THE JOB
This role supports data-driven decision-making by providing actionable insights into transport operations, fleet utilisation, delivery performance, route optimisation, and compliance outcomes. The Transport Data Analyst works closely with operational teams, contract management, and stakeholders to support continuous improvement initiatives and ensure contractual and customer requirements are met. This description serves as a guideline, and management may assign other tasks to support business growth.
PRIMARY RESPONSIBILITIES AND DECISIONS/LEVEL OF AUTHORITY
Evidence-based insights to support governance and reporting requirements.
To succeed in this role, it is expected that you will have:
- Knowledge/Experience
- 3-5 years' experience in data analytics, transport analytics, logistics reporting, or operational performance analysis
- Experience with Data Reconciliation and Invoicing
- Experience within transport, logistics, supply chain, Defence, or complex operational environments
- Experience analysing large datasets to identify operational trends and business improvements
- Advanced proficiency in data analysis and reporting tools such as Power BI, Excel, SQL, and other visualisation platforms
- Experience working with transport management systems (TMS), fleet management systems, ERP systems, or logistics platforms
Technical/Professional Skills
- Strong analytical and problem-solving skills
- Ability to transform complex data into meaningful operational insights
- Strong attention to detail and data validation skills
- Excellent written and verbal communication skills
- Ability to present findings and recommendations to operational and management stakeholders
- Strong stakeholder engagement and collaboration skills
- Knowledge of transport performance metrics, fleet utilisation analysis, and operational reporting methodologies
Qualifications - Education and/or professional
- Tertiary qualifications in Data Analytics, Logistics, Supply Chain, Transport Management, Business, Mathematics, Statistics, or a related discipline
- Experience with Power BI, SQL, data modelling, or business intelligence platforms highly desirable
- Experience within Defence, government, or regulated transport environments advantageous
We're on a mission to help move the businesses that move the world. With over 130 years' experience, Toll Group, proudly part of Japan Post, operates an extensive global logistics network, covering road, air, sea and rail across 500 locations in more than 27 countries. We collaborate in friendly, caring teams, supported by approachable leaders who give us the autonomy to quickly make decisions with impact. Learn and grow through curiosity, with industry-leading training, alongside talented experts. Play a vital role to deliver what matters while taking on diverse challenges and new responsibilities to move you, our customers and our world further.
Business Analyst- Transport in Cambridge employer: Toll Group
At Toll Group, we pride ourselves on being an exceptional employer, offering a collaborative and supportive work culture that empowers our employees to make impactful decisions. With over 130 years of experience in the logistics industry, we provide extensive training and growth opportunities, ensuring that our team members can thrive in their careers while contributing to meaningful projects that move the world forward.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst- Transport in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the transport and logistics industry on LinkedIn or at local events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analytics and transport operations. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your problem-solving skills.
✨Tip Number 3
Show off your analytical skills! Bring examples of your previous work with data visualisation tools like Power BI or SQL to the interview. This will demonstrate your ability to turn complex data into actionable insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Toll Group.
We think you need these skills to ace Business Analyst- Transport in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data analytics and transport. Use keywords from the job description to show we’re on the same page about what you bring to the table.
Showcase Your Skills:Don’t just list your skills; give examples of how you've used them in real situations. We want to see how your analytical prowess has led to tangible improvements in past roles.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about transport analytics and how you can contribute to our mission. Keep it engaging and personal.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Toll Group
✨Know Your Data Tools
Make sure you brush up on your skills with Power BI, SQL, and Excel before the interview. Be ready to discuss how you've used these tools in past roles to analyse large datasets and derive actionable insights.
✨Understand Transport Metrics
Familiarise yourself with key transport performance metrics and operational reporting methodologies. Being able to speak knowledgeably about fleet utilisation and delivery performance will show that you understand the industry and can contribute from day one.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data scenarios. Practise articulating your thought process clearly, as this will demonstrate your analytical and problem-solving skills to the interviewers.
✨Engage with Stakeholders
Highlight your experience in stakeholder engagement during the interview. Share examples of how you've collaborated with operational teams or management to drive improvements, as this role requires strong communication and collaboration skills.
