Why join us?

We help medical doctors work more efficiently and deliver better patient care by giving them access to a secure, AI-powered clinical co-pilot. Tonic Easy Medical is conquering new markets, building even more amazing AI tools and the team is getting larger! Join us for an exciting career move in a fast-growing scale-up shaping the future of digital health.

What do we expect?

You will be part of the data team and play a key role in designing, building, and maintaining data pipelines that power analytics and decision-making across the company. Your work will support teams ranging from Growth to Product, Content, Sales and Customer Success, enabling them to make data-driven decisions, measure performance, and gain insights into how we deliver value to doctors and patients.

Responsibilities

• Design, implement, and maintain scalable data pipelines and integrations across different data sources
• Build and optimize data models to support reporting and analytics needs
• Ensure data quality, reliability, and accuracy across systems and dashboards
• Develop and maintain reports and dashboards in Power BI, Looker studio, Mixpanel and other visualization tools
• Collaborate with stakeholders to understand requirements and translate them into technical solutions
• Automate data collection, transformation, and monitoring processes using Python and SQL
• Contribute to data governance and product tracking, working alongside the Product team to define and maintain tracking decisions that support reliable analytics
• Work closely with other teams (Growth, Product, Content, Sales and Customer success) to enable a data-driven culture
• Document processes, data flows, and best practices for long-term scalability
  
  

Who you are

You Have

• A degree in a relevant field, such as mathematics, statistics, or engineering
• 2+ years of experience in data engineering or similar roles (junior to associate level)
• Proficiency in Python for data manipulation and automation
• Strong SQL skills and familiarity with relational databases
• Knowledge of data modeling, ETL/ELT concepts, and data warehouse architectures
• Familiarity with version control (e.g., Git) and agile methodologies
• Ability to work with both technical and non-technical stakeholders
• Strong analytical mindset, problem-solving skills, and attention to detail
• Working proficiency in English
  
  

Nice To Have

• Experience with Power BI or other BI solutions
• Experience working with DAGs (e.g., Airflow or similar orchestration tools)
• Experience with cloud platforms (Azure, AWS, or GCP)
• Experience with Mixpanel or other product analytics tools
• Experience with Braze or other customer engagement tools in B2C products
  
  

Our team works in a hybrid model.

Apply at

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