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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

5Open Positions

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  • Intern - Financial Data

    inbank
    Tallinn, Estonia
    Found 2 months ago
  • Reporting Assistant (Sustainability)

    Lloyd's
    London, United Kingdom
    Found 2 weeks ago
  • STAGE - Chargé(e) de Conformité ESG / Devoir de Vigilance H/F

    Groupe Crédit Agricole
    Montrouge, France
    Found 1 month ago
  • Internships

    ANdAZ
    Amsterdam, Netherlands
    Found 1 month ago
  • Stagiair Mode & Duurzaamheid

    Wehkamp Retail Group
    Zwolle, Netherlands
    Found 2 months ago
  • Sustainability Accountant - Curricular internship

    Fater
    Spoltore, Italy
    Found 2 months ago

Intern - Financial Data

inbank
Found 2 months ago
Location
Tallinn, Estonia
Duration (Months)
3 Months
Time
Not disclosed
Work Mode
Not disclosed
Salary
paid internship
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • SQL
  • Tableau
  • Excel
  • data manipulation
  • analysis
  • advanced functions

Soft Skills

  • analytical thinking
  • problem-solving skills

Job Description

Our Financial Data team works closely with databases and banking-related data, and in this role, you’ll have the opportunity to learn and practice writing SQL queries and building visualisations in Tableau while contributing to real projects that help drive the company forward. As the team does not have routine tasks, you’ll gain exposure to a variety of projects and challenges. * Building and maintaining reports in Tableau. * Writing SQL queries to extract data from databases. * Analysing data and communicating insights to stakeholders. * Gaining practical financial knowledge through real-life use cases.

Requirements

  • 2nd or 3rd year student in Finance, Economics, or a related field.
  • Have a background or strong interest in finance, statistics, and economics.
  • Have basic knowledge of SQL for querying databases.
  • Have a good understanding of Excel, including data manipulation, analysis, and advanced functions.
  • Are willing and motivated to learn more about financial data analytics.
  • Have strong analytical thinking and problem-solving skills.
  • Are fluent in written and spoken English.

Related Field

  • Finance and Banking

Related Subfield

  • Financial Planning and Analysis (FP&A)

Languages

  • English
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