Let's win together
As a Working Student - Product Analyst (f/d/m), you will support our Product & UX team in making data-informed decisions that improve our digital health products. You will work closely with Product Managers, Engineers, and Designers to analyze user behavior, monitor product performance, and contribute to meaningful product improvements.
In this role, you will gain hands-on experience in product analytics within a fast-paced health tech environment, while being guided by experienced analysts and product leaders. Your work will directly contribute to building better product experiences and advancing personalized medicine through data.
Your Role with us
- Support the analysis of product usage data to identify trends and areas for improvement
- Contribute to defining and tracking key product metrics (e.g. activation, engagement, retention)
- Assist in building and maintaining dashboards and reports to monitor product performance
- Support the analysis of experiments (e.g. A/B tests) to evaluate product changes
- Collaborate with Product Managers on tracking concepts and event definitions
- Help translate data into clear, actionable insights for the product team
- Work closely with engineering and data teams to ensure data reliability and quality
What you bring to the table
- You are currently enrolled in a Master’s program in Data Science, Statistics, Computer Science, or a related field
- Consistent availability of ~20 hours per week during the semester
- You have a good working knowledge of SQL and are comfortable writing and adapting queries
- You have basic experience with Python for data analysis (e.g. pandas, notebooks)
- You think analytically and enjoy working with data to uncover insights
- Ideally, you have first exposure to BI tools (e.g. Looker, Tableau) or product analytics tools (e.g. PostHog, Amplitude)
- You are curious, self-driven, and comfortable working in a cross-functional team
- Fluency in English, German is a plus
What we bring to the table
We use data for the better. We create technology that really helps. At Temedica, we break new ground in digital health and challenge the traditional healthcare model. We believe that individualized treatment is a fundamental right of every patient - so we make it happen! We build medical applications and use artificial intelligence to translate patient behavior into sensible interventions. We also combine our application’s data with data sources from research, social listening and key market providers. Based on a B2B SaaS business model, we so offer novel data monitors that secure previously unknown insights for Pharma and Life-sciences to make personalized medicine reality. Finally!
You want more? There are a bunch of things that Temedica offers its working students and interns - and we’re talking real benefits that exceed equipment, fruits and drinks. Of course we take care of you daily caffeine and vitamin supply while you perform your work on state of the art devices, but there’s much more that we do to make sure you have a great work experience besides your studies:
- Hybrid-work policy: Our hybrid-work policy allows you to work from anywhere within Germany. Still, in your team, your are free to decide when to come to the office and celebrate your wins together.
- Paid vacation days: You proportionally have just as many paid vacation days as our full time employees, being 27 at full employment plus all official holidays.
- Responsibility from day one: You take ownership for your own tasks and projects from the start - and that is reflected in a fair and competitive salary.
- Team events: Enjoy unforgettable company parties and team events that give you enough time to connect with your colleagues at a personal level.
We are happy to tell you more about our benefits and way of working at Temedica in a first call!
Join us!
Are you looking for an exciting challenge within digital health? We are looking forward to your application!
About us
At Temedica, we break new ground in the digital health sector and challenge the traditional healthcare model. We structure previously inaccessible data and combine it with real-world evidence to get the best individualised patient care.
