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Senior Data Analyst
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- Our tech stack includes Databricks, Snowflake, AWS, R, Python, SQL, and JMP.
- You will automate queries and pipelines using Databricks to streamline workflows.
- You have experience with statistical programming, including formal training and three years of applied experience working with biomedical data.
- You are familiar with Spark for cloud-based computing (e.g., Sparklyr, PySpark) and working with data stored on AWS S3 and Snowflake.
- Databricks experience will be a plus.
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