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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

21Open Positions

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    Found 2 months ago
  • E

    Werkstudent Venture Capital Finance & Operations (w/m/d)

    EnBW Cyber Security GmbH
    Remote, Germany
    Found 2 months ago
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    Female x Finance
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    Found 2 months ago

Analytics Engineer Intern

Viridien
Found 1 month ago
Location
Massy, France
Duration (Months)
6 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Power BI
  • DAX
  • SQL
  • relational databases
  • Microsoft Fabric
  • Snowflake
  • PySpark

Soft Skills

  • curious
  • motivated
  • analytical mindset
  • Rigor
  • autonomy

Job Description

We are looking for a curious and motivated Analytics Engineer Intern to help shape and enhance our enterprise analytics platform supporting HR, Finance, Supply Chain, and HSE functions. In this role, you will contribute end-to-end to analytics initiatives — from understanding business needs and designing semantic models in Microsoft Fabric to building impactful Power BI dashboards for internal stakeholders. You will work within structured project frameworks while gaining hands-on exposure to real business challenges. This internship offers a dynamic learning environment where you will tackle diverse use cases, develop your technical and business acumen, and actively contribute to data-driven decision-making across the organization.

Requirements

  • BSc/MSc in Data Science, Data Analytics, Business Intelligence, Computer Science (Data specialization), or Database Management.
  • Strong knowledge of Power BI (data modeling, Power Query, report development), advanced DAX, SQL, and relational databases.
  • Ability to consolidate and harmonize multi‑source data.
  • Ability to work with incomplete or imperfect data.
  • Strong interest in data structuring and modeling.
  • Understanding and awareness of data quality and data consistency issues.
  • Rigor and autonomy.
  • Strong analytical mindset.

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • Snowflake or any other similar analytic platform
  • PySpark language skills
▶Apply Now

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