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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

19Open Positions

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    wepay1
    Berlin, Germany
    Found 2 weeks ago
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    Found 2 months ago
  • Schülerpraktikum (all genders)

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum (all genders)

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago

Analytics Engineering Intern

wepay1
Found 2 weeks ago
Location
Berlin, Germany
Time
Full-time
Work Mode
Not disclosed
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
2 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • SQL
  • Python
  • Tableau/Looker
  • Github
  • Version Control tools

Soft Skills

  • Strong communicator
  • eager to collaborate with teammates
  • present findings clearly
  • Proactive
  • adaptable
  • excited to take on challenges in a fast-moving environment

Job Description

We are seeking an Analytics Engineering Intern to join us where you will gain real exposure to data-driven decision making. From day one, you will get exposure to real analytics initiatives and gradually take ownership of a project to be completed by the end of your internship. You will start by supporting the team in their day-to-day tasks, then move towards working more independently, with guidance and mentorship along the way. During your time with us, you will have the opportunity to work on a broad range of business topics, depending on the projects and domains you are assigned to support.

Requirements

  • Minimum 6-months availability for this internship period.
  • Currently pursuing or recently completed a degree in Data Analytics, Computer Science, Engineering, Statistics, or any related quantitative field.
  • Familiar with SQL or Python, with a passion for learning more.
  • Comfortable working with data and curious about solving problems through analytics.
  • Strong communicator, eager to collaborate with teammates and present findings clearly.
  • Proactive, adaptable, and excited to take on challenges in a fast-moving environment.

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • basics of experimentation
▶Apply Now

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