Natera's R&D operations data science team aims to support R&D activities by leveraging data analytics and developing tools to optimize workflows and processes. The data analyst will generate data insights and reports to drive continuous improvement in R&D processes.
Requirements
- Expertise in SQL
- Proficiency in Python for data analysis
- Familiarity with data visualization tools such as AWS Quicksight or similar platforms
- Ability to produce readable, reproducible, and documented code
- Experience with version control practices and tools
- Expertise with the Python data science ecosystem
- Experience with Snowflake
Responsibilities
- Extract, clean, transform, and analyze complex data to support R&D Operations and improve R&D processes, productivity, and outcomes.
- Automate key performance indicator (KPI) reports and develop interactive dashboards to track performance, milestones, and results
- Develop and optimize SQL queries for efficient data retrieval, analysis, and reporting, ensuring timely and accurate results
- Implement and monitor measures to ensure the accuracy, consistency, and quality of data
Other
- 1+ years of experience in data analysis
- Work closely with R&D stakeholders and R&D Operations teams to understand data needs and fulfill requests
- Strong written and verbal communication skills
- Experience managing multiple priorities and meet deadlines
- Domain knowledge in molecular biology, biochemistry, bioinformatics, operations research or related field
