Data Assistant

Vor 6 Tagen


Berlin, Berlin, Deutschland Hudson Vollzeit 45.000 € - 55.000 € pro Jahr


About the Role

We're looking for a
meticulous and motivated Data Assistant
to support our analytics and business teams in organizing, validating, and maintaining key datasets.

As a Data Assistant, you will play a vital role in ensuring data accuracy, preparing reports, and helping turn information into actionable insights. You'll collaborate closely with analysts and managers to keep data processes running smoothly and efficiently.

If you're detail-oriented, tech-savvy, and eager to grow your career in data — this role is for you.


Key Responsibilities

  • Collect, enter, and verify data from multiple sources
  • Maintain and update internal databases and spreadsheets
  • Support analysts with data cleaning, formatting, and validation
  • Generate basic reports and summaries for management review
  • Ensure accuracy, consistency, and completeness of datasets
  • Assist in improving data workflows and documentation


Requirements

  • Bachelor's degree in Data Science, Business, or a related field (or equivalent experience)
  • Strong attention to detail and organizational skills
  • Proficiency in Excel, Google Sheets, or database tools
  • Basic understanding of data analysis and reporting
  • Excellent communication and teamwork abilities
  • English fluency required; Korean proficiency preferred


Preferred Qualifications

  • Experience working with CRM, ERP, or data management platforms
  • Familiarity with SQL, Python, or data visualization tools (e.g., Power BI, Tableau)
  • Prior experience in e-commerce, marketing, or finance data operations
  • Willingness to learn and grow within a data-driven environment


Benefits

  • Remote / hybrid flexibility
  • Competitive compensation and performance bonuses
  • Opportunities for career growth and training in data analytics
  • Collaborative, international work culture
  • Exposure to real-world business data and insights


Apply Now:

  • Send your resume
    and a short note describing your
    data or admin experience
    via
    LinkedIn message
    or
    email
    .

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