This is what you can expect from us as a (Senior) Product Data Analyst:
- Work with Purpose – Your work has a real impact on patients and healthcare professionals in the medical field.
- Corporate Culture – We embrace structures that foster high performance and strong team dynamics. Our interactions are characterized by mutual respect, loyalty, and recognition. We work together towards common goals and expect the same from you.
- Flexibility – Would you like to pick up your child from daycare? Do you enjoy exercising during lunchtime? We support you in doing so. We are a remote-friendly company where you have flexible working hours. By arrangement, you are also welcome to take a workation.
- Every employee gets either a mobility package or a Urban Sports Club subscription.
- Professional Development – Your professional development is important to us. That’s why we support you in your role and development.
- Extra Day Off on Your Birthday – So you can celebrate with your loved ones.
This is how you will make an impact as a (Senior) Product Data Analyst:
- We are a healthtech company operating a B2B marketplace in the hospital discharge management space. We are looking for somebody who can constantly dig into data to understand our customers’ problems, validate our assumptions, support discovery work and help us to continuously improve our product. As a (Senior) Product Data Analyst, you will be working in our product team and help the team to make data-driven decisions with regards to developing new features, creating launch plans and reporting on the success of the team’s work.
- Your tasks will include (but are not limited to):
- Conducting research and running A/B tests to generate and evaluate ideas for new features, model product and feature launches to determine the optimal customer segments and best release strategies.
- Collaborate with design and product managers on mapping user journeys to help us better understand our users’ needs and their behaviour.
- Building and monitoring dashboards for new features and team KPIs, and establishing baseline metrics for improvements and enhancements of existing features.
- Presenting key insights to product managers, design and the wider management team.
- Collaborating with the engineering team to improve our data stack and tracking capabilities, and actively participation in AGILE ceremonies.
What tools will you be working with:
- Datasources: Postgres OLTP, Salesforce, Chargebee™
- Warehouse: snowflake®
- ELT: Stitch/DBT
- Visualisation: Looker
