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Data Entry Analyst

Master 2 Droit du Numérique - Paris Panthéon-Assas

Remote · Part Time

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Expérience
N'importe lequel
Salaire
Ouvertures
1
Publié
il y a 1 heure
Work mode
Travaillez à domicile
Éducation
Data science, statistics, law and technology, or related fields
Eligibility
Candidates with an academic background in data science, statistics, law and technology, or a related field may apply. Prior exposure to data entry or academic research support is an added advantage. Applicants should be comfortable working independently in a remote part-time setup.
Resume
Required to apply

Description de l'emploi

Role Overview

This part-time remote Data Entry Analyst position supports academic and administrative work at Master 2 Droit du Numérique - Paris Panthéon-Assas. The job centers on collecting information accurately, entering it into the correct systems, and keeping records current so project teams can rely on clean and well-organized data.

What You'll Do

  • Input both structured and unstructured information into designated platforms and databases.
  • Check records for accuracy, completeness, and consistency before and after entry.
  • Carry out basic cleaning, standardization, and formatting of datasets.
  • Prepare straightforward summaries and reports from the collected data.
  • Work within established data-handling procedures and documentation standards.
  • Coordinate with faculty members, staff, and project leads to clarify requirements and resolve data issues.
  • Protect sensitive information and maintain confidentiality at all times.
  • Organize digital files and records for easy retrieval and ongoing use.
  • Spot missing data, irregularities, or errors and report them promptly.

Qualifications

  • Strong analytical thinking and the ability to recognize patterns or trends in information.
  • Working knowledge of data analysis and statistics for simple reporting tasks.
  • Ability to structure, arrange, and improve datasets through basic data modeling concepts.
  • Clear written and spoken communication for effective collaboration with academic and administrative teams.
  • Excellent attention to detail, accuracy, and organizational habits.
  • Comfort using spreadsheets and database tools such as Excel, Google Sheets, or similar software.
  • Capability to work on your own in a remote setup, manage time well, and meet deadlines.
  • Background in data science, statistics, law and technology, or a related discipline is preferred; experience with data entry or academic research support is an advantage.

Additional Information

This is a part-time remote role based in California, United States. No stipend or salary amount was provided in the source. No duration, start date, application deadline, or vacancy count was specified.

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