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A

Fresher Data Analyst (Entry / Junior Level)

Agence Nationale de la Grande Muraille Verte - Tchad

Remote · Part Time

最初に応募しよう

経験
どれでも
給料
求人情報
1
投稿済み
3時間前
Work mode
在宅勤務
教育
Data Science, Statistics, Mathematics, Computer Science, Environmental Science, Economics, or related field
Eligibility
Early-career candidates and students or graduates in a relevant field who are available for part-time remote work and want practical experience in data analytics may apply.
Resume
Required to apply

仕事内容

Role overview

This part-time, remote entry-level Data Analyst position is with Agence Nationale de la Grande Muraille Verte - Tchad. The role is intended for early-career candidates who want hands-on exposure to analytics work while contributing to environmental and development-focused initiatives.

What you will do

You will support data-informed decision-making by helping the team gather, tidy, and structure information from both internal and external sources. The work includes basic statistical analysis, creating straightforward data models, and preparing reports or dashboards with guidance from senior colleagues. You will also help record data-handling steps, work with different teams to understand what information they need, and share findings in a clear, practical way.

Skills and qualifications

The ideal candidate should have a solid base in analytical thinking and data analysis, along with introductory knowledge of statistics for exploring, summarizing, and performing simple inferential checks on datasets. Familiarity with data modeling is useful for organizing information into a consistent format for reporting. Strong communication skills are important for explaining results, methods, and insights to both technical and non-technical audiences. Working knowledge of spreadsheet software such as Excel or Google Sheets is expected, and experience with at least one analytics or visualization tool such as Power BI, Tableau, or a similar platform is helpful.

Preferred background

A degree or current study in Data Science, Statistics, Mathematics, Computer Science, Environmental Science, Economics, or a closely related discipline is preferred. Candidates should be comfortable working independently in a remote setup, managing time well, and picking up new tools and techniques quickly. An interest in sustainability, development work, or public-sector initiatives will be an added advantage.

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