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Data Entry Analyst

Master 2 Droit du Numérique - Paris Panthéon-Assas

Remote · Part Time

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Esperienza
Qualsiasi
Stipendio
Aperture
1
Pubblicato
5 ore fa
Work mode
Lavoro da casa
Istruzione
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

Descrizione del lavoro

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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