Road Network Analytics Specialist

Deutsche Post; Diegem; On-site; EUR 42,000 - 55,000; Full time

Job summary

DHL Express in Diegem is seeking a Road Network Data Analyst to support data analytics projects, analyze business processes, identify data needs, and develop prototypes for business users.

You will cleanse data, derive analytical requirements, and help embed data-driven decisions into operations by sharing knowledge and building mathematical models. A university degree in math, statistics, physics, CS or related field and programming skills (Python, R or Java) are expected.

Qualifications

• University degree in mathematics, statistics, physics, computer science or related fields.
• Less than 2 years of experience.
• Deep knowledge of machine learning, statistics and/or mathematical optimization.
• Experience analyzing complex datasets and building mathematical models.

Responsibilities

• Support the execution of data analytics projects in collaboration with the supervisor/project lead.
• Involvement in the analysis of business processes as well as derivation of problem areas and analytical requirements.
• Identification and collection of required data as well as data cleansing.
• Develop and implement prototypes for the business users.
• Support anchoring of data-driven decisions in operating business through knowledge transfer from completed projects.
• Derive analytical requirements, select and execute appropriate mathematical methods, and interpret results with guidance from supervisor.
• Manage contact with internal and external customers on data analytics topics at work and specialist level with limited guidance from project lead.
• Relationship management with internal and external expert networks in the data analytics field.

Skills

Machine learning

Statistics

Math optimization

Data analysis

Python/R/Java

Education

University degree in Mathematics/Statistics/Physics/CS or related field

Tools

Python

R

Java

Job description

DHL Express in Diegem is seeking a Road Network Data Analyst to support data analytics projects, analyze business processes, identify data needs, and develop prototypes for business users.

You will cleanse data, derive analytical requirements, and help embed data-driven decisions into operations by sharing knowledge and building mathematical models. A university degree in math, statistics, physics, CS or related field and programming skills (Python, R or Java) are expected.