Senior Data Analyst, Production Support

Natera

8d • $130,000 - $155,000 • Remote

About The Position

This is an opportunity in Natera’s Data Science Production Engineering (DSPE) department to provide critical data analytics support for laboratory production operations. As a Senior Data Analyst for Lab Production Support on the DSPE Extended-Hours Support (ExHS) team, you will provide timely and accurate data analysis to Natera’s production laboratories and support other business needs. The role applies data analytics to medical diagnostics and genomics operations, helping improve patient-result turnaround times and support healthcare providers.

The position is remote in the USA and works on the Weekend Shift team. The schedule alternates quarterly between Tuesday through Saturday and Sunday through Thursday, with both rotations running 9:00 a.m. to 5:00 p.m. You will apply statistical and analytical methods to operational data, build automated solutions and scalable workflows, document processes, train junior team members, and collaborate with Lab Operations, Product, and other DSPE teams.

Requirements

• Master’s degree in Statistics, Mathematics, Computer Science, Engineering, Bioinformatics, Operational Research, or a related field, plus at least 3 years of relevant industry experience; this qualification is heavily preferred.
• Alternatively, a bachelor’s degree in a related field plus at least 6 years of relevant industry experience.
• At least 3 years of hands-on experience in data analysis, extraction, and querying.
• Proficiency in data analysis and statistical techniques.
• Proficiency in Python and SQL development.
• Working knowledge of the Snowflake platform and cloud technologies.
• Strong understanding of statistical concepts, including hypothesis testing, the central limit theorem, time series analysis, anomaly detection, and regression modeling.
• Good documentation practices and coding style.
• Strong verbal and written communication skills, including the ability to present technical findings to technical and non-technical audiences.
• Experience using version control systems such as GitHub or GitLab for code management and collaboration.
• Ability to work collaboratively in a cross-functional team environment.
• Strong interpersonal skills and integrity.

Nice To Haves

• At least 2 years of experience working in a highly regulated environment, such as CLIA- or FDA-compliant settings; preferred but not required.
• Knowledge of diagnostic laboratory business processes and requirements.
• Knowledge of molecular biology, genetics, genomics, or bioinformatics.

Responsibilities

• Deliver timely data support to Lab Operations teams, unblock production issues, and improve patient-result 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 to improve operational efficiency and scalability.
• Extract, transform, and analyze data to generate actionable insights for laboratory production operations and business decisions.
• Document analytical processes, best practices, and insights to support consistency and knowledge transfer across teams.
• Develop and optimize solutions for efficient data retrieval and scalable performance on large or complex datasets.
• Learn and adopt operational efficiencies from technologies and solutions developed by other DSPE teams.
• Train and coach junior team members on technologies, procedures, guidelines, and best practices.
• Collaborate with Lab Operations and Product teams to identify process issues, assist with root-cause analysis, and provide product support.
• Represent the DSPE team in stakeholder meetings.
• Correctly escalate encountered issues to other DSPE teams.

Benefits

• Comprehensive medical, dental, vision, life, and disability plans for eligible employees and their dependents.
• Free testing for employees and their immediate families.
• Fertility care benefits.
• Pregnancy and baby bonding leave.
• 401(k) benefits.
• Commuter benefits.
• Employee referral program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior