Junior Data Analyst

Learn about knok

At knok, we dare to lead and humanise the digital transformation of healthcare. We envision a world where everyone has timely access to quality healthcare through digital technology, creating a more equal society. We genuinely believe in it and you can recognise it in every person who embraces this mission.

Through a Digital Front Door strategy, knok connects patients, providers and healthcare professionals in one place. Our API-first white-label platform enables a continuous, engaging and personalised healthcare experience for all conditions through a cutting-edge Patient Journey Engine.

With regular clinical practice as our main source of knowledge, we leverage ready-to-use data to improve care automation and increase financial savings. Since 2015, we have enabled more than 2.5 million clinical interactions in over 12 countries. Our platform is scalable and AI-ready, enhancing the power of data-driven care to deliver better outcomes during all stages of life.

Are you ready to join us in revolutionising healthcare and making a tangible impact on people's lives?

About the role

We are looking for a Junior Data Analyst to gather, analyse, and interpret business data from multiple sources to extract meaningful insights that drive business decisions. You will play a crucial role in maintaining and improving data processes, ensuring high data quality, and supporting different teams with analytical insights. If this sounds exciting, keep reading!

As a Junior Data Analyst, you will:

• Collect, clean, and analyse data to generate valuable business insights,
• Develop and maintain dashboards, reports, and data visualisations to support strategic decision-making,
• Automate recurring reports and data processes to improve efficiency,
• Support forecasting activities for different services, ensuring accurate planning and resource allocation,
• Ensure data integrity and quality, identifying and resolving inconsistencies or anomalies,
• Work closely with cross-functional teams to provide data-driven recommendations,
• Optimise and automate the medical hours allocation process to enhance operational efficiency.

Here are the skills we’re looking for:

• Bachelor's degree in Management, Biomedical Engineering, Industrial Engineering, or a related field.
• 1 to 2 years of experience in data analysis, business intelligence, or a similar role.
• Strong Excel skills (data manipulation, advanced formulas, VBA).
• Experience with data visualisation tools (e.g., Power BI, Apache Superset, or similar).
• Critical thinking and problem-solving mindset to translate data into actionable insights.
• Storytelling with data – ability to communicate findings clearly to different stakeholders.
• Strong collaboration and communication skills to work effectively with multidisciplinary teams.

Nice to have:

• Experience with SQL for querying databases.
• Familiarity with Apache Superset or similar business intelligence tools.
• Previous experience in healthcare analytics or the healthcare industry.