LLP - Data Analyst Lead

Deutsche Post DHL; Valencia; Presencial; Confidencial; Jornada completa

Descripción de la vacante

Deutsche Post DHL's DHL Supply Chain Valencia Center of Excellence (Alfafar) seeks a Data Analyst Lead to transform data into business value and drive continuous improvement across international logistics operations.

You will design and improve processes through data-driven insights, reporting and automation, lead a team of data professionals, and partner with IT on data architecture to enable strategic decisions.

Formación

• University degree in Engineering or related discipline.
• Proven experience in Data Analytics and BI environments.
• Experience leading projects and coordinating stakeholders.
• Strong background in Business Process Design & Analysis.
• Knowledge of KPI frameworks and performance management.
• Experience across multiple contracts or complex operations.

Responsabilidades

• Lead and develop a team of Data Analytics professionals.
• Drive business process design and continuous improvement initiatives.
• Manage multiple projects in an international, fast-paced environment.
• Master Data Management for designated Accounts.
• Data Quality Management and governance.
• Develop dashboards, reports and presentations to support decisions.
• Collaborate with IT on data modelling and reporting architecture.

Conocimientos

Data analytics leadership

Power BI

SQL

Python

Stakeholder management

Team development

Educación

University degree in Engineering or related field

Herramientas

Power BI

SQL

Data modelling

DAX

Python

GitHub

SharePoint

Power Automate

Excel

Descripción del empleo

At DHL Supply Chain Valencia Center of Excellence (Alfafar), we're looking for a Data Analyst Lead who is passionate about transforming data into business value and driving continuous improvement across complex international logistics operations.

What will you do?

As our Data Analyst Lead, you will play a key role in designing and improving business processes through data-driven insights, advanced reporting and automation solutions.

You’ll be responsible for:

• Leading and developing a team of Data Analytics professionals
• Driving business process design and continuous improvement initiatives
• Managing multiple projects simultaneously in a fast-paced international environment
• Master Data Management for your designated Accounts
• Data Quality Management
• Developing impactful dashboards, reports and presentations to support operational and strategic decisions
• Collaborating closely with IT teams on database design, data modelling and reporting architecture.
• Support implementation for new Accounts in Data Analytics workstream
• Leading User Acceptance Testing (UAT) activities across operational systems
• Promoting innovation through analytics, automation and digital solutions

Technologies you'll work with

• Microsoft Power BI
• SQL
• Data Modelling & Database Design
• DAX Measures & Data Relationships
• Python
• Github
• Microsoft SharePoint
• Microsoft Power Automate
• Advanced Excel
• Reporting & Business Intelligence Solutions

What are we looking for?

We're seeking an analytical leader with a strong business mindset who enjoys solving complex challenges and inspiring teams to deliver outstanding results.

Required qualifications

University degree, preferably in Engineering or a related discipline

Proven experience in Data Analytics and Business Intelligence environments

Experience leading projects and coordinating stakeholders

Strong background in Business Process Design & Analysis

Knowledge of KPI frameworks and performance management methodologies

Experience working across multiple contracts, operations or complex business environments

Advanced communication and stakeholder management skills

At DHL Group, we are committed to creating an inclusive workplace where everyone feels valued and respected. We promote equal opportunities and make employment decisions based on qualifications, performance, skills and experience, regardless of background or personal circumstances.