Routing & Capacity Analyst: Data-Driven Network Optimizer

DHL Express; Diegem; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Career development

Exposure to ML & analytics tools

International team across Europe

Résumé du poste

DHL Express in Diegem, Belgium, seeks an early-career Routing & Capacity Analyst to turn operational data into actionable insights. You will build statistical and optimization models, apply ML techniques, and support decision-making across the European road network.

This role blends analytics with business impact in a fast-growing logistics environment. You will collect and prepare data, collaborate with stakeholders, and develop prototypes to demonstrate value, with mentoring from experienced

Qualifications

• University degree in Mathematics, Statistics, Physics, Computer Science, Engineering, Data Science, or a related quantitative discipline.
• Up to 2 years of professional experience in data analytics, data science, statistics, research, or a related field.
• Strong knowledge of machine learning, statistics, and/or mathematical optimization techniques.
• Experience analyzing complex datasets and building analytical or mathematical models.
• Proficiency in programming or scripting languages such as Python, R, or Java.
• Strong analytical and problem-solving skills with the ability to identify patterns and insights from data.
• Ability to translate analytical results into practical business recommendations.
• Comfortable working with large datasets and performing data cleansing and preparation activities.
• Interest in operational research, forecasting, predictive analytics, or network optimization.
• Ability to communicate technical and analytical concepts to both technical and non-technical audiences.
• Strong attention to detail and commitment to delivering high-quality results.
• Proactive, curious, and eager to learn new analytical methods and technologies.
• Strong teamwork and collaboration skills within international and cross-functional environments.
• Independent work ethic with a positive, solution-oriented mindset.
• Fluent English is required; additional languages are considered an advantage.

Responsabilités

• Support the execution of data analytics projects in collaboration with project leads and supervisors.
• Analyze business processes and identify problem areas, opportunities, and analytical requirements.
• Collect, prepare, cleanse, and validate data from multiple sources.
• Develop statistical, mathematical, and optimization models to support business decision-making.
• Apply machine learning, forecasting, and analytical techniques to operational and network challenges.
• Interpret model outputs and translate analytical findings into meaningful business insights.
• Develop and implement analytical prototypes and proof-of-concept solutions for business users.
• Support the adoption of data-driven decision-making across the organization.
• Contribute to the development of analytical methodologies and best practices.
• Select and apply appropriate analytical techniques to solve business problems.
• Prepare presentations and reports that communicate complex analytical results in a clear and understandable way.
• Collaborate with internal stakeholders to understand business requirements and translate them into analytical solutions.
• Manage relationships with internal and external stakeholders on data analytics topics.
• Engage with specialist networks and communities to stay current with industry trends and analytical methodologies.
• Support knowledge sharing and the transfer of expertise from completed projects into operational teams.

Connaissances

Data analytics

Data science

Machine learning

Statistics

Mathematical optimization

Python

R

Java

Problem solving

Communication

Formation

Bachelor's or Master's degree in a quantitative field

Outils

Python

R

SQL

Excel

Description du poste

DHL Express in Diegem, Belgium, seeks an early-career Routing & Capacity Analyst to turn operational data into actionable insights. You will build statistical and optimization models, apply ML techniques, and support decision-making across the European road network.

This role blends analytics with business impact in a fast-growing logistics environment. You will collect and prepare data, collaborate with stakeholders, and develop prototypes to demonstrate value, with mentoring from experienced