About the Company

Ededge is an education-focused organization working to help young people build their potential and gain exposure to technology and other fast-growing career areas. Its upcoming programs are designed to give learners practical exposure and insights from experienced leaders, including lessons from both achievements and setbacks. The company emphasizes continual improvement and aims to contribute to the growth of the ed-tech space by combining training in specific domains with real industry experience.

The organization states that this opportunity is a remote Data Analytics Training and Internship Program for people who want practical learning while strengthening their analytical abilities. Participants will work with datasets, support basic data modeling and statistical analysis, and help create reports, dashboards, and visualizations that communicate findings to internal teams and mentors. The program includes a guided learning track, virtual training, project feedback, and peer collaboration.

What You Will Do

• Gather data from different sources and prepare it by cleaning, organizing, and validating it.
• Carry out exploratory analysis to uncover patterns, trends, and useful observations.
• Create and update dashboards and reports that support business decision-making.
• Use SQL to retrieve, transform, and work with data efficiently.
• Contribute to the identification of key performance indicators and business metrics.
• Work closely with product, marketing, and business teams.
• Turn analysis into clear, practical recommendations for stakeholders.

What We’re Looking For

• A bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a similar discipline.
• 0 to 1 year of experience in data analysis, reporting, or a comparable area.
• Comfort using Excel or Google Sheets at a basic level.
• Introductory familiarity with SQL or database concepts.
• Strong accuracy, critical thinking, and attention to detail.
• Good written and spoken communication skills for effective teamwork and explanation of ideas.
• Ability to work independently as well as collaboratively within a team.

Perks and Growth

• Practical exposure to meaningful analytics projects.
• Guidance from experienced mentors and access to professional development support.
• Possibility of performance-linked incentives during the internship.
• Outstanding interns may be considered for full-time opportunities.
• Real project experience that can strengthen a portfolio and resume.

Additional Information

This role is remote and based in Germany. It is an unpaid internship. After you submit your application, the team will reach out with the next steps for the application process and onboarding.

Eligibility

This opportunity is intended for learners and early-career candidates who want to build skills in data analytics while managing academic or professional commitments. Candidates with up to 1 year of relevant experience and a background in the specified quantitative or technical fields are suitable.

Responsibilities

• Collect data from multiple sources and prepare it through cleaning, organization, and validation.
• Perform exploratory analysis to find trends, patterns, and key observations.
• Develop and maintain dashboards and reports for business use.
• Write SQL queries to extract, shape, and manipulate datasets.
• Help define KPIs and other performance metrics.
• Coordinate with product, marketing, and business stakeholders.
• Summarize findings into clear, actionable insights.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
• 0–1 years of experience in data analysis, reporting, or a similar role.
• Basic working knowledge of Excel or Google Sheets.
• Introductory understanding of SQL and databases.
• Strong attention to detail and analytical reasoning.
• Excellent written and verbal communication abilities.
• Capability to work both independently and as part of a team.

Perks & benefits

• Practical experience on impactful analytics assignments.
• Mentorship from experts and access to development resources.
• Potential performance-based incentives.
• Opportunity to be considered for a full-time role based on performance.
• Portfolio-worthy real-world project experience.