Important: This position will work in one of the following three Extended-Hours Support (ExHS) shift teams:

1. Weekend Shift Team

ABOUT THIS ROLE

Behind every sample in Natera’s labs is a patient waiting on a result, whether that’s an expectant parent, someone monitoring their cancer, or a transplant recipient. The ExHS team supports those labs outside normal business hours, when production issues still come up and Lab Operations still needs answers. As Manager of Data Analysis, you lead one of the shift teams and work the queue alongside your analysts. You take on escalations yourself, review code, and help the team through difficult analyses, knowing that faster answers mean faster results for patients and their providers. You also set objectives, track SLAs, and represent the team in stakeholder meetings.

The ideal person for this position is an experienced, hands-on data professional who has managed a team in a regulated lab or healthcare setting, is still comfortable writing SQL and Python, stays calm under pressure, communicates clearly with both technical and non-technical partners, with a strong sense of ownership for patient outcomes.

PRIMARY RESPONSIBILITIES

Leadership

Lead and mentor the specific ExHS shift team, fostering a culture of accountability, innovation, and collaboration.
Measure, report, and continuously improve team operational effectiveness.
Define and track team objectives, ensuring alignment with broader organizational goals.
Provide career growth opportunities, feedback, and performance assessments for team members.
Encourage individual contributors (ICs) to pitch ideas for process improvements and innovations.

Operational Excellence

Ensure timely and accurate resolution of production escalations data analysis tickets.
Train and coach team members on new technologies, procedures, and guidelines/best practices.
Enforce operating procedures for compliance, quality, and efficiency.
Manage and improve tracking systems for workload, capacity, and ticket SLAs.

Communication and Collaboration

Represent the Extended-Hours Support (ExHS) teams in stakeholder meetings.
Proactively manage stakeholder expectations.
Establish regular stakeholder reporting mechanisms.
Translate complex analytical results into actionable recommendations for cross-functional partners.
Effectively and correctly escalate issues encountered to other DSPE teams.

Process Improvement and Innovation

Identify opportunities for automation and process enhancements to streamline operations.
Identify and escalate risks such as data model changes that impact project timelines or ticket TAT.
Collaborate with the overall DSPE team to develop new and improve existing support solutions.

QUALIFICATIONS

Master's degree in a related field (e.g., Statistics, Data Science, Computer Science).
Minimum 5 years of working experience in a highly regulated environment, e.g., CLIA and/or FDA compliant settings.
Minimum 5 years of hands-on experience in data analysis and/or statistical modeling in data production, data engineering, data analytics, analytics production support roles.
Minimum 2 years in a team management role.
Knowledge of regulatory requirements, such as HIPAA and FDA guidelines.
Working knowledge of the business processes and requirements of diagnostic laboratories.
Proven track record in managing production escalations, data workflows, and team operations.
Experience with healthcare data, and clinical terminology is a plus.
Functional understanding of next-gen sequencing workflows.

KNOWLEDGE, SKILLS, AND ABILITIES

Proficient in data analysis and statistical techniques.
Proficient in Python and SQL development.
Working knowledge of Snowflake platform technologies.
Strong SQL skills for querying and retrieving data from complex data sources in a structured format.
Strong understanding of various statistical concepts (parametric & non-parametric distributions, hypothesis testing, probability, regression).
Proficient in aggregating data, preparing, cleaning data, and data mining using SQL and Python.