Remote Data Analysis Apprentice - Finance & Tax

Ican Education Consultant Medan; Kota Medan ᯔᯩᯑᯉ᯲; Remote; IDR 16,740,000 - 27,900,000; Full time

Benefits offered by this job

Fully remote

Structured training

Mentorship

Stipend

Portfolio projects

Job summary

Ican Education Consultant Medan invites you to join a fully remote Apprenticeship in Data Analysis based in Indonesia. You will learn data collection, cleaning, analysis, and visualization under mentorship, with hands-on practice using SQL, Excel, and Python libraries.

This remote program trains curious, detail-oriented individuals and offers a stipend during the apprenticeship, with a path to build a solid data portfolio and contribute to real-world analytics projects from anywhere in the

Qualifications

• High school diploma or equivalent; a background in mathematics, statistics, or a related field is advantageous.
• Strong quantitative and analytical skills.
• Basic understanding of data concepts and database principles.
• Excellent attention to detail and problem‑solving abilities.
• Ability to work independently and communicate findings effectively in a remote setting.

Responsibilities

• Assist in collecting and cleaning data from various sources.
• Perform data analysis using statistical methods and software tools.
• Create clear and informative data visualizations and reports.
• Support senior analysts in interpreting data trends and findings.
• Learn and apply data analysis techniques and tools such as SQL, Excel, and Python libraries.

Skills

Data analysis

SQL

Excel

Python

Education

High school diploma

Tools

Excel

Python

Job description

Ican Education Consultant Medan invites you to join a fully remote Apprenticeship in Data Analysis based in Indonesia. You will learn data collection, cleaning, analysis, and visualization under mentorship, with hands-on practice using SQL, Excel, and Python libraries.

This remote program trains curious, detail-oriented individuals and offers a stipend during the apprenticeship, with a path to build a solid data portfolio and contribute to real-world analytics projects from anywhere in the