Fresher Dat Analys （Entry / Junior Level）

Role Description This part-time remote Fresher Data Analyst (Entry / Junior Level) role at Le journal du FLE focuses on supporting data-driven decisions for educational and editorial initiatives. Day-to-day tasks include collecting and cleaning data from various internal and external sources, organizing datasets, and preparing basic reports or dashboards under guidance from senior team members. The role involves performing simple data analyses, identifying trends, and presenting findings in clear formats for non-technical stakeholders. The Data Analyst will collaborate with editors, educators, and technical staff to ensure accurate data entry, maintain documentation, and help improve data processes over time.

Qualifications

Candidates should possess foundational data analysis skills such as basic statistical understanding, data cleaning, and data validation. Candidates should possess technical skills including proficiency with spreadsheets (e.g., Excel or Google Sheets) and familiarity with data visualization tools or basic reporting software. Candidates should possess problem-solving and critical-thinking skills with the ability to interpret data and draw simple, logical conclusions. Candidates should possess strong organizational and time-management skills, including attention to detail and the ability to manage multiple small tasks in a part-time setting. Candidates should possess clear written and verbal communication skills to present data findings to team members with diverse backgrounds. Candidates should possess the ability to work independently in a remote environment, demonstrate eagerness to learn, and accept feedback constructively. Relevant qualifications include current enrollment in or recent completion of a degree or coursework in data science, statistics, mathematics, economics, computer science, or a related field. Additional beneficial experience includes familiarity with basic programming or query languages (such as Python, R, or SQL), interest in education or language learning, and prior internship or project work involving data.