What you'll do:
- Perform custom ad hoc analyses to support business needs, leveraging critical thinking and mathematical problem-solving skills.
- Develop and maintain robust data pipelines, automating data extraction, transformation, and loading (ETL) processes.
- Manage and maintain reference datasets, including recurring data extraction from external websites and automated updates.
- Build intelligent data models to enhance analytics and decision-making.
- Utilize Databricks, SQL Server, and Python to process and analyze large datasets efficiently.
- Work with Google Cloud Platform (GCP) and Microsoft Azure to optimize cloud data solutions.
- Design and develop data visualizations using Tableau, Power BI, or other BI tools to present findings and insights effectively.
- Implement best practices in data governance, data storage, and database design.
- Research and explore new methodologies to answer complex business questions without predefined playbooks.
- Collaborate with cross-functional teams to understand data requirements and improve data quality and accessibility.
What it requires:
- Bachelor’s degree, preferably in data analytics or computer engineering
- Minimum of 3 to 5 years of experience in a data analytics position
- A background in Engineering
- Strong experience with Databricks, SQL, and Python.
- Solid understanding of Google Cloud Platform (GCP) and Microsoft Azure.
- Experience with data visualization tools like Tableau, Power BI, or other BI tools.
- Proficiency in relational database, SQL query writing, and data modeling.
- Knowledge of ETL development, automation, and data pipeline orchestration.
- Understanding of data governance, data storage, and database design principles.
- Familiarity with healthcare data, including provider, payer, claims, and network data, is a significant plus.
- Strong critical thinking and problem-solving abilities.
- Ability to work independently and innovate in an unstructured environment.
- Exceptional analytical and mathematical reasoning skills.
- Strong communication skills to translate technical insights into business recommendations.
- High attention to detail and ability to ensure data integrity and accuracy.
- Self-motivated with an Engineering mindset to research and explore new solutions.
- Ability to collaborate with cross-functional teams and stakeholders.

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