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Junior Data Analyst (Entry / Junior Level)

Graines de Créativité

Remote · Part Time

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1時間前
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在宅勤務
教育
Any graduate
Eligibility
Applicants with foundational training or experience in data analytics, especially those with coursework, certification, or a degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related area, may be a good fit.
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仕事内容

Role overview

This is a part-time, fully remote Junior Data Analyst position with Graines de Créativité. The role supports data-informed decisions across both internal workstreams and client-related projects.

What you will do

  • Gather data from multiple sources, then clean, structure, and organize it for analysis.
  • Create straightforward reports and dashboards that help teams understand results quickly.
  • Assist in reviewing data patterns and turning them into practical observations.
  • Work with teammates to build clear charts, summaries, and other visual outputs.
  • Keep records of analysis methods, assumptions, and findings in a well-documented format.
  • Support ongoing efforts to maintain accurate, consistent, and reliable data.
  • Contribute to basic data modeling tasks and run routine statistical checks.
  • Share insights in simple language that non-technical stakeholders can easily understand.

What the employer is looking for

  • Strong analytical thinking and a structured, logical approach to solving problems.
  • Some background in data analytics or training in core data handling methods.
  • Working knowledge of basic statistics, including averages, distributions, and correlations.
  • Exposure to simple data modeling concepts and interest in learning more.
  • Good written and verbal communication skills for presenting findings clearly.
  • Comfort using spreadsheets and beginner-friendly analytics or visualization tools such as Excel, Google Sheets, or basic BI tools.
  • Ability to work independently in a remote setup, manage time well, and consistently meet deadlines.
  • A degree, certification, or coursework in a quantitative subject such as Statistics, Mathematics, Economics, Computer Science, or a similar field is helpful.
  • Strong curiosity, close attention to detail, and an eagerness to learn new tools and techniques.

Additional notes

No stipend or salary amount was provided for this role. The position is listed as part-time and remote.

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