Senior Data Analyst, Production Support

This is an exciting opportunity in the Data Science Production Engineering (DSPE) department at Natera, to provide critical data analytics support for lab production operations. As a Senior Data Analyst for Lab Production Support in the DSPE Extended-Hours Support (ExHS) team, you will work in the Weekend Shift team, rotating quarterly between Tuesday-to-Saturday and Sunday-to-Thursday schedules, 9AM-to-5PM.

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; 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

Master's degree in Statistics, Mathematics, Computer Science, Engineering, Bioinformatics, Operational Research, or other related fields PLUS minimum 3 years of relevant industry experience (Heavily Preferred); OR Bachelor's degree in related fields PLUS minimum 6 years of relevant industry experience; Minimum 3 years of hands-on experience in data analysis, extraction, and querying; 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 technical and non-technical audiences; Experience using version control systems such as GitHub or GitLab; Ability to work collaboratively in a cross-functional team environment; Strong interpersonal skills; Strong integrity

Nice to have

Knowledge of molecular biology, genetics, genomics, and/or bioinformatics; Minimum 2 years of experience in a highly regulated environment (e.g., CLIA and/or FDA compliant settings)

Benefits

Comprehensive medical, dental, vision, life and disability plans for eligible employees and dependents; Free testing and fertility care benefits for employees and immediate families; Pregnancy and baby bonding leave; 401k benefits; Commuter benefits; Employee referral program