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Junior Data Analyst

En Vivo Producciones

Remote · Part Time

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求人情報
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7日前
Work mode
在宅勤務
教育
Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field
Eligibility
Candidates based in the United States who are available for part-time remote work and have an interest or background in data analysis, statistics, or related fields.
Resume
Required to apply

仕事内容

Role overview

En Vivo Producciones is hiring a part-time Junior Data Analyst to work remotely from the United States. The position supports better decision-making by turning raw data into useful insights for the wider organization.

What you will do

  • Gather data from both internal systems and outside sources.
  • Prepare datasets by cleaning, organizing, and structuring them for analysis.
  • Create simple reports and dashboards to present key information.
  • Run exploratory analysis to spot patterns, trends, and opportunities.
  • Monitor important performance indicators for campaigns and projects.
  • Work with teams across the business to clarify their data requirements.
  • Record analysis results in a way that is easy to understand and share.
  • Assist senior analysts with one-off or ad hoc analysis requests.

What we are looking for

The ideal candidate is detail-focused, comfortable handling work independently in a remote setting, and motivated to build skills with new data tools and methods.

  • Strong analytical ability and a solid base in data analytics for interpreting datasets and identifying trends.
  • Working knowledge of statistics to support insights, hypothesis testing, and performance tracking.
  • Awareness of data modeling ideas for organizing information for reporting and analysis.
  • Good written and spoken communication skills for explaining findings to non-technical audiences.
  • Hands-on comfort with spreadsheets such as Excel or Google Sheets, plus an interest in tools like SQL, BI software, Python, or R.
  • Ability to manage time well in a remote part-time role and stay accurate while juggling several tasks.
  • Preferred background in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline.
  • Prior internship or project experience in data work is an advantage, and familiarity with media, entertainment, or production settings is a bonus.

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