Blooming Health is looking for a Data Analyst to support the data analysis needs of the organization, focusing on building foundational skills in data analytics while contributing to various data projects to provide actionable insights for strategic initiatives.
Requirements
- Strong experience with PostgreSQL and Python, especially using Pandas for data manipulation.
- Hands-on experience working in the Google Cloud Platform (GCP) ecosystem, particularly with BigQuery and Dataflow (Apache Beam).
- Familiarity with MongoDB and unstructured/semi-structured healthcare data.
- Solid understanding of HIPAA regulations and best practices for handling patient data securely.
- Experience building or supporting dashboards and reports in Tableau.
- Strong problem-solving and communication skills, with an ability to work independently in a fast-paced, collaborative environment.
- Prior experience working in the healthcare domain is strongly preferred.
Responsibilities
- Develop and maintain scalable ETL/ELT data pipelines using Python, Apache Beam, and GCP Dataflow.
- Design robust data models and analytics workflows to support reporting in BigQuery and visualizations in Tableau.
- Write efficient and reliable queries in PostgreSQL and MongoDB to extract and transform complex datasets.
- Collaborate closely with data analysts, product managers, and engineering teams to understand data needs and deliver trusted data products.
- Apply domain knowledge of healthcare, HIPAA compliance, and patient data privacy in all data engineering practices.
- Optimize performance, data quality, and reliability of pipelines handling large-scale healthcare data.
- Document data sources, transformations, and analytical workflows to ensure reproducibility and transparency.
Other
- Collaborate with senior analysts and other team members to support data-driven projects.
- Ensure data integrity and accuracy by following established data governance and company security protocols in handling data.
- Assist in developing and maintaining documentation for data analysis processes and methodologies.
- Participate in training sessions to enhance data analysis skills and knowledge.
- Contribute to team meetings and provide input on improving data-related processes.
