Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Analyst

DHL
Gatwick
2 days ago
Create job alert
Overview

Base location: Gatwick Airport, however hybrid working arrangements can be offered, with some UK travel required.

Think you know DHL? Think again! We're not just about delivering parcels. DHL Supply Chain is the world's leading logistics company, providing top-notch ground handling services at numerous UK airports. Join us in our mission to deliver excellence in aviation logistics!

We're now looking for a Lead Data Analyst to play an integral role at the heart of our operations, ensuring that every flight is a success.

In this role you will be responsible for overseeing the daily operations of the data analytics team, ensuring that projects are managed effectively and aligned with the overall business objectives. You will enhancing business decision-making capabilities through data analysis and coach and guide your team to become a sustainable and resilient analytics function.

Do you have a background in data analytics? perhaps you studied as a data scientist? and are now looking to put those skills into a meaningful and relatable field? Then we would like to hear from you!

A Typical Day
  • Operational Data Leadership: Set day-to-day operational objectives for the team, ensuring that projects are managed effectively and delivered on time while meeting quality standards.
  • Support the implementation of processes and applications that enhance business decision-making capabilities.
  • Coaching and Development: You will coach and guide less experienced team members on analytics best practices, helping to build a strong foundation of skills within the team.
  • This will facilitate knowledge transfer and enhance the overall capability of the analytics function.
  • Stakeholder Engagement: You are a key point of contact for internal and external stakeholders, ensuring that their interests and concerns are understood and addressed effectively.
Role fit and experience

THIS ROLE WOULD SUIT PEOPLE WHO CAN DEMONSTRATE EXPERIENCE IN THE FOLLOWING AREAS.

  • Technical Expertise: Advanced knowledge in data analytics, tackling complex analytical challenges and mentor less experienced team members.
  • Project Management: Setting day-to-day operational objectives, ensuring that projects are managed effectively and delivered on time.
  • Data-Driven Decision Making: Implementing data analysis plans, analyze business intelligence data from various sources to inform decisions.
  • Best Practices Implementation: Apply best practices for business intelligence, data warehousing, and data governance, enhancing the team's operational capabilities.
  • Cross-Functional Collaboration: Working actively with suppliers and third parties to unlock access to required data, facilitating comprehensive analysis and insights.
  • Applicants must hold valid UK work authorisation (a current UK visa is required for this role).
Why join us?
  • Company car or car allowance
  • We're happy to talk about flexible working – just ask about alternative patterns at interview
  • Join our generous pension scheme and benefit from an 8% employer contribution, alongside a 4% employee contribution
  • Free confidential 24/7 GP consultations
  • Hundreds of retail and lifestyle discounts
  • Affordable loans, savings schemes and free mortgage advice
  • Visit careers.dhl.com/global/en/working-at-dhl-supply-chain to learn more
Who we are

We're the global leaders in supply chain management with 188,000 people in over 50 countries. Our expert teams work together to deliver for our customers across a range of industries including retail, automotive, healthcare and more.

Building an inclusive workplace

At DHL, we're all about creating a workplace where everyone's skills and experiences matter, and where you can be your true self every day.

As proud supporters of the Armed Forces Covenant, we value the skills and experience of ex-service personnel and are dedicated to helping our veterans find jobs.

Applications are reviewed continuously, and the vacancy may close early. Please submit asap to ensure consideration.

Please note: The role is based within an airport. You will be required to undergo a security/background check if you are to be successful for this position.

Please be aware that interviews are provisionally scheduled to take place during the week commencing 20th October 2025. Applications received after this date may not be considered but will be added to our talent pool for future opportunities, subject to your consent. We review applications continuously and where we have a large number of applications the application period may close ahead of the provisional interview date. To ensure your application is considered we recommend submitting it as early as possible.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.