Lead Data Analyst

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 MAY INVOLVE

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.

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.

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 https://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.

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