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High competition due to popular mid-level data role, Tier-1 brand, metro location, and broad skillset requirements.
High because healthcare-specific ICD knowledge and provider-domain experience limit cross-industry transferability.
Medium strictness from required domain skills (Python, SQL, healthcare ICD, cloud) but no explicit years requirement.
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Translate healthcare provider data into actionable descriptive and predictive analytics supporting provider performance and care delivery optimization.
Collaborate with product owners and domain stakeholders to deliver analytics and data products in an agile environment, ensuring clinical relevance and operational impact.
Support generative AI-enabled analytics and data governance practices aligned with healthcare and EU AI Act requirements.
Tertiary degree in Data Science, Statistics, Computer Science, Engineering, or related discipline.
Working knowledge of International Classification of Diseases (ICD) for healthcare analytics.
Practical experience with Python, SQL, and NoSQL data stores; exposure to cloud platforms like AWS and Databricks.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in healthcare provider data analytics and understanding provider-health insurance interactions.
Familiar with implementing predictive and prescriptive analytics, with exposure to foundational AI models and prompt engineering.
Comfortable navigating data governance and compliance including EU AI Act considerations in healthcare analytics.