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Data Entry Analyst

Nature Peinture - RP engagées climat

Remote ・ パートタイム

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4時間前
作業モード
在宅勤務
教育
卒業生であれば誰でも
資格
Candidates who are comfortable with remote work, can handle data entry and basic analysis with a high degree of accuracy, and are interested in climate-focused initiatives may apply.
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仕事内容

Role overview

This part-time remote Data Entry Analyst position with Nature Peinture - RP engagées climat is centered on collecting, entering, checking, and lightly analyzing data that supports climate-related reporting and projects. The work calls for careful handling of information so that records remain accurate, consistent, and useful across databases and spreadsheets.

What you will do

In this role, you will work with datasets on a day-to-day basis, updating records, validating information, spotting irregularities, and putting together straightforward summaries or reports for internal use. You will also coordinate with teammates to understand data needs, document procedures, and help improve the way data is managed and maintained.

What we are looking for

The ideal candidate is detail-focused, comfortable working on their own in a remote setup, and motivated by work connected to climate initiatives. Strong accuracy, sound judgment when reviewing data, and the ability to keep information organized are important for success in this role.

Qualifications and skills

  • Ability to analyze data, use basic statistics, and assess datasets for accuracy and reliability.
  • Understanding of data structuring or modeling concepts to support organized reporting.
  • Strong written and verbal communication for remote collaboration and process documentation.
  • Excellent attention to detail for entering, checking, and maintaining records.
  • Confidence using spreadsheets and data tools such as Excel, Google Sheets, or similar software.
  • Capacity to manage time independently, stay productive remotely, and meet deadlines.
  • Interest in climate, environmental, or sustainability topics is a plus.
  • Background or training in data, statistics, or a related discipline is helpful, though not mandatory.

Additional information

This is a part-time remote opportunity based in California, United States. No stipend or salary amount was provided in the source information.

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