Data Entry Analyst
Master 2 Droit du Numérique - Paris Panthéon-Assas
Remote · Part Time
كن أول من يتقدم بطلب
- خبرة
- أي
- مرتب
- —
- الوظائف الشاغرة
- 1
- تم النشر
- • 3 أفراد
- Work mode
- العمل من المنزل
- تعليم
- 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
المسمى الوظيفي
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.