IT specialist for data and process analysis

Otto GmbH & Co. KG

Job

In this role, you will develop data-driven business processes, learn data preparation and analysis techniques, and enhance services for departments while applying various technologies like Python and SQL.

Job summary

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Job technologies

Your role in the team

  • As a IT Specialist in Data and Process Analysis, you develop the rapidly growing, Big Data-driven digital production and business processes and always work at the cutting edge of technology.
  • You will learn about the preparation and processing of data, which form an important foundation for driving otto.de forward with the right measures.
  • Additionally, you will contribute to the development of services, products, and tools to facilitate and optimize data work for our business units and data specialists.
  • In training as an IT specialist for data and process analysis, you will delve into the IT infrastructure of otto.de and learn programming as well as the implementation and application of software and programs.
  • Your assignments take place within tech teams of your choice, where you can individually discover which areas excite you and which you want to deepen in the course of your training, e.g., Data Engineering, Data Science, Artificial Intelligence (AI), or Machine Learning.
  • As a core member of the team, you will work hands-on on current topics, proactively contribute your ideas, and thus make your contribution to the success of OTTO.
  • The focus on data and process analysis means for you: to learn a wide range of technologies and programming languages, e.g., Python, SQL, Bash, Scala, and Clojure.
  • To learn how to integrate cloud infrastructures (AWS and GCP) for data processing using configuration languages like Terraform.
  • Conducting customer-specific data and process analyses, reviewing our data repositories in terms of their quality and quantity, and optimizing existing projects and processes.

Our expectations of you

Education

  • At least a very good secondary school diploma with good grades, especially in STEM subjects (Mathematics, Computer Science, Natural Sciences, and Technology).

Qualifications

  • A German language proficiency level that can be classified as B2 level, along with good English skills.
  • Enjoyment of analytical thinking and technical contexts.
  • Team player with a passion for independent and diverse work.
  • Good communication skills and a high level of self-motivation.

Experience

  • Initial experience with programming.

What we offer

  • Hybrid working (mobile & in-office), flexible working hours (flexitime), 37.5-hour workweek, 30 vacation days.
  • Year: €1297, 2nd year: €1348, 3rd year: €1459 per month, vacation and Christmas bonuses, 15% employee discount, as well as numerous benefits & employee offers (e.g., events, travel), retirement plans, a personal notebook for the duration of the training.
  • Intensive onboarding, comprehensive training through the OTTO Academy, digital learning platforms - including Masterplan, open feedback culture, personal support from the training team, international placements via vocational schools, and individual design of deployment sites (within the framework of the curriculum).
  • Mindfulness and stress management courses, occupational medical and psychosocial counseling.
  • Communities & Networks, Coworking & Social Spaces, regular employee surveys, free hot beverages and a diverse - including vegan - food selection, participation in various social and societal engagements, parcel shop.
  • Subsidy for the Deutschlandticket, free parking spaces, e-charging stations, StadtRAD stations.

Benefits

Topics you will work on

Job locations

About your employer

Otto GmbH & Co. KG is a leading German trade and services company based in Hamburg. With over 41,000 employees worldwide, Otto operates in the retail, financing and logistics, as well as mail order business sectors, setting industry standards.

Company type
Established Company
Work model
Onsite, Hybrid
Industry
Trade
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IT specialist for data and process analysis

Otto GmbH & Co. KG