Repporting, Finance, data, business, analyses, analyst, implenenting

Vacature 1403 in maastricht

bij DHL Finance Services BV (EFSS)
Wat ga je doen?

As a Junior Data Scientist & Reporting Expert at DHL Express, you will work in our Finance team to solve concrete business problems on a regional and global scale. They are all deeply rooted in the fundamental question: how to improve the (finance) experience of The Customer? You will apply mathematical methods, such as time series analysis, operations research methods and machine learning to answer a wide variety of questions. Largely independently, you will conduct data analyses, develop statistical and mathematical models and implement concepts in consultation with your stakeholders. You will interpret modeling results in a finance context and, with guidance, prepare them for discussion with the members of senior management. The role includes the development and creation of dashboards that support the operational and strategic steering of Finance performance for the Key Account Desks across the globe

What do we offer? The DHL team comprises over 510,000 people in practically every country on the planet. And yet they all have one important thing in common. The Customer. That’s because although logistics are what drives our world, people are what connect it. Delivering service, quality and sustainability, every single day to every single customer, is how DHL Finance Services able to bring people together - and make a difference to their lives. DHL Finance Services offers a benefits package that includes a competitive salary, bonus incentives and a pension scheme based on a defined contribution plan. In addition, we offer a wide range of employee benefits, such as discounts for various insurances, (leisure) activities and products. Furthermore you will have access to comprehensive learning programs and international career opportunities.

Wat vragen wij?

Accountabilities:
  Master’s degree in Mathematics, Statistics, Physics, Computer Science or related natural sciences / technical degree, or comparable qualification;
  Deep knowledge of machine learning, statistics and/or mathematical optimization;
  Experienced in analyzing complex datasets and building mathematical models; experience in practically applying them is an advantage;
  Good programming skills and/or experience in scripting languages (Python, R or Java)
  Experience in working with databases (relational, NoSQL);
  Ability to produce creative and analytical solutions based on clear and thorough analyses of complex processes and business relationships ;
  Strong English language skills and mastery of at least one other European language;
  Comfortable explaining complex analytical and technical content to various audiences ;
  Energetic and success-oriented problem solver;
  Independent work ethic, integrity and loyalty, positive “can-do”- attitude;
  Passionate team player.

Do you want to apply? Are you interested and do you meet the requirements? Then click on the button apply and we will contact you as soon as possible

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Vragen over deze vacature ?

profielfoto Ellis Caubo Senior Intercedente
Ellis Caubo
Senior Intercedente
  ecaubo@flexpoint.nl
  +31(0)43 362 29 29
  www.linkedin.com

vestiging

Flexpoint Maastricht Industrie/Logistiek
Stationsstraat 7
6221 BM Maastricht
  maastricht@flexpoint.nl
  +31(0)43 362 29 29

Werken bij

DHL Finance Services BV

Interested to join the most international company in the world? At DHL Express, motivating our people is priority number one because we count on every one of our motivated superstars to deliver great service quality and drive our "Insanely Customer Centric" culture. We offer a competitive salary & benefits package and a 38-hour workweek program from Monday to Friday. Furthermore you will have access to world-class learning & development programs, as well as plenty of international career opportunities.

 Volledige bedrijfsinfo

Vragen over deze vacature ?

profielfoto Ellis Caubo Senior Intercedente
Ellis Caubo
Senior Intercedente
 ecaubo@flexpoint.nl
 +31(0)43 362 29 29
 www.linkedin.com

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