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A global HealthTech leader is seeking a Data Health Analyst to ensure the highest quality data for their expanding database. Responsibilities include processing data, automating enrichment methods, and ensuring accuracy. Required skills include proficiency in Python, Excel, and experience with LLMs. Attractive benefits include remote work options and professional development opportunities.
Doctify is a global HealthTech leader building the largest global network of validated healthcare providers and experts. Our mission is to help millions of patients around the world find the right doctor or clinic when they need care.
Backed by $30m in funding and operating across 6 countries we’ve already supported over 100 million patients and are just getting started.
To achieve our mission we need to provide the highest quality data – supporting our sales and marketing teams and, most importantly, the patients who rely on us. Our Data team is at the heart of this mission as we continue expanding across the six markets where we operate. We’re now looking for a Data Health Analyst to help us build and maintain a world‑class database that will fuel Doctify’s ongoing growth.
At Doctify we shape careers with purpose. Our benefits are designed to fuel your growth, flexibility and well‑being.
Diversity, equity, inclusion and belonging aren’t just values. They’re at the core of what makes us Uniquely Doctify. These principles shape how we work, how we build our teams, how we design our policies and how we bring our mission to life.
As a global team we know that diverse perspectives drive innovation and lead to better outcomes for patients, providers and each other. We’re committed to creating a fair, inclusive environment where everyone is heard, respected and empowered to thrive.
We want to ensure that everyone has an equitable and comfortable experience throughout our hiring process. If you require any adjustments we’re happy to discuss how we can support you. You can contact us at .
Employment Type: Full‑Time
Experience: years
Vacancy: 1
Data Analytics, Microsoft Access, SQL, Power BI, R, Data Visualization, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics