Data Science Engineer / Healthcare Data Analyst

Role Overview: As a Data Analyst with deep experience in the US Healthcare industry and skills around Machine Learning (ML), you will be responsible for conducting comprehensive data analysis using statistical and exploratory methods to uncover patterns and insights that drive data-driven decision-making in the US healthcare domain. You will collaborate with data science and engineering teams to ensure data quality, availability, and reliability for AI/ML-driven healthcare analytics solutions. Moreover, you will design and maintain data pipelines for efficient ingestion, transformation, and storage of various healthcare data types. Your role will also involve developing and maintaining dashboards and reports to translate complex healthcare data into actionable insights for business stakeholders. Key Responsibilities: - Conduct comprehensive data analysis using statistical and exploratory methods to drive data-driven decision-making in the US healthcare domain. - Leverage knowledge of healthcare industry metrics to optimize analytics strategies. - Collaborate with data science and engineering teams to ensure data quality, availability, and reliability for AI/ML-driven healthcare analytics solutions. - Design and maintain data pipelines for efficient ingestion, transformation, and storage of healthcare data. - Ensure compliance with HIPAA, PHI, and other regulatory requirements when handling healthcare datasets. - Develop and maintain dashboards and reports for actionable insights for business stakeholders. - Utilize visualization tools to represent key healthcare metrics, trends, and performance indicators. - Apply expertise in healthcare cost, quality, and operational performance analytics. - Work closely with cross-functional teams to understand data needs and deliver tailored solutions. - Stay updated on new analytical techniques, regulatory changes, and healthcare industry trends. - Engage with industry experts, attend relevant conferences, and contribute to continuous learning within the team. Qualifications: - Strong proficiency in SQL and Python, including libraries such as pandas for data manipulation and analysis. - Experience with healthcare data visualization using tools like Streamlit, Snowflake, Power BI, or Tableau. - Familiarity with ETL pipelines, data warehousing, and cloud platforms for healthcare data processing. - Strong knowledge of healthcare standards and regulations. - Experience in revenue cycle management, medical coding, and healthcare analytics is a plus. - Ability to analyze complex healthcare datasets and derive meaningful insights. - Experience working with predictive modeling and AI-driven healthcare analytics. - Excellent communication and stakeholder management skills. - Strong collaboration skills to work effectively with healthcare business teams, IT, and data science professionals. - A curious mindset with a willingness to drive innovation in healthcare analytics.,