Data Analyst (m/f/d)

Be aware that this position is completely Remote but our working hours are Central European Time (+/- 2h)

Tomorrow University is a next generation University for Impactful Careers.

In our transition to a sustainable society, education is the crucial lever. That’s why we build a university that educates and empowers the change makers of tomorrow. We deliver accredited degree programs designed to build up 21st century competencies and provide a world-class network of experts to set our learners up for impact. A remote-first learning environment driven by technology and AI enables flexible and personalized learning from wherever you are.

We are the first EdTech startup in Europe with a full state-recognized university license and are proud to be one of the Top 20 EdTech startups in the world.

Our inspiration

We firmly believe that the key to transforming education lies in reimagining how we teach. At Tomorrow University, we're breaking away from the old, teacher-centered model of traditional universities, and we're embracing a student-centric approach. Our aim is to provide our students with a unique opportunity to acquire essential skills and a mindset that will enable them to create global impact through a vast network of change-makers.

Our mission

At Tomorrow’s University, we leverage science and technology for effective learning and foster a global community for continuous growth and impact. With us, students learn by applying their knowledge to real-life challenges and interacting with world-class educators, mentors, and partners from all around the world.

Role Overview

We are seeking a highly motivated and experienced Data Analyst to take full ownership of our data infrastructure and analytics initiatives. In this fully remote role, you will play a pivotal part in shaping our data strategy to drive informed decisions across all departments. Your expertise will help us leverage data to enhance our educational offerings and operational efficiency.

Your main tasks will include:

🌐 Data Warehouse Management:

• Build and manage robust data pipelines to ensure efficient data flow across systems
• Design, develop, and optimize our data warehouse and data models for fast and accurate reporting
• Ensure data integrity, security, and compliance across all platforms

📊 Reporting and Consultation:

• Create insightful and efficient reports for all departments using advanced data visualization tools
• Consult users on data topics and provide tailored reporting solutions
• Develop and present business reports that facilitate data-driven decision-making

📝 Documentation and Best Practices:

• Document data terminology, sources, and organizational data requirements
• Establish, maintain, and promote best practices in data management and reporting
• Ensure comprehensive documentation of data processes and systems for transparency and continuity

🎓 Team Enablement:

• Empower team members to utilize Looker Studio for self-service reporting and analytics
• Provide training and support to enhance data literacy and analytical skills across the organization
• Foster a culture of data-driven decision-making and continuous learning within the team

🔮 Advanced Analytics:

• Develop sophisticated prediction models and analytical reports to forecast trends and identify opportunities
• Leverage AI and machine learning techniques for advanced data analysis
• Identify and implement advanced analytics solutions to address complex business challenges