Senior Data Analyst for Lab Production Support, Extended-Hours Support (ExHS)

Natera is a global leader in precision medicine, genomics testing, and cell-free DNA diagnostics. The Senior Data Analyst will provide data analytics support for laboratory production operations, diagnose operational issues, develop automated workflows, and collaborate with Lab Operations and Product teams to improve efficiency and patient results turnaround times.

Responsibilities:

• Deliver timely data support to Lab Operations teams, unblock production issues, and improve patient results turnaround times
• Apply statistical techniques to analyze complex datasets, diagnose operational issues, and support data-driven decision-making
• Perform exploratory data analysis, identify trends, and work with stakeholders to interpret findings and drive continuous improvement
• Design and implement automated solutions for recurring data analysis and production support workflows, improving operational efficiency and scalability
• Extract, transform, and analyze data to generate actionable insights that support lab production operations and business decisions
• Document analytical processes, best practices, and insights to ensure consistency and knowledge transfer across teams
• Develop and optimize solutions for efficient data retrieval and scalable performance on large and/or complex datasets
• Learn and acquire operational efficiencies on new technologies and solutions developed by other DSPE teams
• Train and coach junior team members on new technologies, procedures, and guidelines/best practices
• Collaborate with Lab Operations and Product teams to identify process issues, assist with root cause analysis, and provide product support
• Represent the Data Science Production Engineering (DSPE) team in stakeholder meetings
• Effectively and correctly escalate encountered issues to other DSPE teams

Requirements:

• Masters degree in Statistics, Mathematics, Computer Science, Bioinformatics, Operational Research, or other related fields
• Minimum 3 years of relevant industry experience
• Minimum 3 years of experience working in a highly regulated environment (e.g., CLIA and/or FDA compliant settings)
• Minimum 3 years of hands-on experience in data analysis, extraction, querying in production support roles
• Working knowledge of the business processes and requirements of diagnostic laboratories
• Proficient in data analysis and statistical techniques
• Proficient in Python and SQL development
• Working knowledge of Snowflake platform and cloud technologies
• Strong understanding of statistical concepts such as hypothesis testing, central limit theorem, time series analysis, anomaly detection, and regression modeling
• Good documentation practices and coding style
• Strong verbal and written communication skills, with the ability to present technical findings to both technical and non-technical audiences
• Experience using version control systems such as GitHub or GitLab for managing code and collaboration
• Ability to work collaboratively in a cross-functional team environment
• Strong interpersonal skills
• Strong integrity
• Knowledge of molecular biology, genetics, genomics, and/or bioinformatics is a plus