Sales Data Analytics Intern - Bonn, Deutschland - Deutsche Post & DHL

Deutsche Post & DHL
Deutsche Post & DHL
Geprüftes Unternehmen
Bonn, Deutschland

vor 1 Monat

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung

TODAY, YOU'RE STIMULATING THE WAY A CUSTOMER SUCCEEDS.

TOMORROW, YOU'RE SHAPING THE WAY THE WORLD WORKS.
At DHL, people mean the world to us. That's why our goal has always been to attract and retain the best talent the world over. We provide challenge and opportunity for personal and professional development.

We recognize the difference you bring to our business, and together we share the pride of building THE logistics company for the world.


DHL's Customer Solutions & Innovations (CSI), one of the business units of DHL, is a globally dedicated organization which simplifies the DHL customer experience by providing a single customer interface and developing innovative industry-tailored solutions for DHL's largest global customers.

Come discover the unique, international spirit of DHL where your commitment is recognized and rewarded.

As of now we are looking for a full-time S
ales Data Analytics Intern
(M/F/d).


Tasks:


  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems and pipelines in Azure Data Factory
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing reports to locate and correct code problems
  • Continues integration / Continues deployment in databricks
  • Maintain Dashboards in PowerBi

Professional and Personal Requirements:


  • Enrolled in BS/MS program in Data Science, Computer Science, Mathematics, Economics, or any other related field.
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) as well as knowledge of Python and Spark
  • Knowledge of machine learning algorithms and familiarity in working with Azure technology (Data bricks, Data Factory)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Report writing in PowerBi and presenting findings
  • Fluency in English

Information for applicants:

**CONNECTING PEOPLE. IMPROVING LIVES.

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