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Natera1K–5K employees

Senior Data Analyst

San Carlos, CA$103,600 – $129,450Posted yesterday

Immigration summary

Visa sponsorship

LikelyMedium confidence

This employer has recently sponsored work like this.

65 recent H-1B filings

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Green card sponsorship

Some historyMedium confidence

This employer has recently sponsored green cards.

19 recent certified PERM filings · 3 similar-role filings

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Job description

LOCATION

:

This will be a hybrid role (1 day a week) working out of our San Carlos, CA location.

POSITION SUMMARY:

Natera is a global leader in cell-free DNA testing, supporting oncology, women’s health, and organ health. Our goal in R&D operations data science is to support R&D activities at Natera through data analytics and the development of intelligent tools to optimize workflows and processes.

As a Senior Data Analyst on the team, you will play a pivotal role in designing, prototyping, and building out a modern, next-generation AI analytics platform to phase out legacy reporting infrastructure. In this role, you will leverage AI developer tools (e.g., Claude Code, Gemini) to significantly accelerate design, scripting, and platform prototyping. However, speed must be paired with engineering rigor: you must possess deep foundational technical expertise to critically review, audit, validate, and refine all AI-assisted output, ensuring production-grade code quality, data accuracy, and system reliability.

PRIMARY RESPONSIBILITIES:

  • Platform Design & Rapid Prototyping: Lead the effort in architecting, iterating, and building out a new R&D analytics platform. Rapidly prototype scalable analytics solutions and modern self-service data tools
  • AI-Accelerated Development & Rigorous Validation: Proactively utilize advanced AI tools (including Claude Code, Gemini, and coding assistants) to accelerate development cycles, automate repetitive coding tasks, and speed up platform prototyping. Thoroughly review, debug, unit-test, and validate all generated code and analytics logic for correctness, security, and efficiency
  • Data Pipeline & SQL Engineering: Extract, clean, transform, and model complex multi-source R&D data. Develop and optimize high-performance custom SQL queries and partner with Data Engineers to enhance database scalability and platform performance
  • Analytics & Insight Generation: Translate operational requirements into actionable insights, automated KPI workflows, and modern analytics interfaces that directly drive R&D decision-making and continuous process improvement
  • Stakeholder Collaboration: Partner closely with cross-functional R&D stakeholders and operational teams to understand workflows, define analytics requirements, and deliver robust data tools
  • Data Quality & Governance: Establish validation frameworks, automated monitoring, and data integrity checks to guarantee absolute accuracy and consistency across all analytics platform outputs

QUALIFICATIONS:

  • Experience: 2+ years of experience in data analysis, analytics engineering, or software/data platform development
  • AI Tooling Proficiency: High comfort level and practical experience using modern AI developer assistants (e.g., Claude Code, Gemini, GitHub Copilot) to augment coding productivity and rapid iteration
  • Analytical Rigor & Data Validation: Strong analytical intuition and critical thinking skills, with a proven ability to independently evaluate, verify, and fine-tune data workflows, queries, and automated outputs to maintain high standards of quality and accuracy
  • Python Proficiency: Advanced proficiency in Python for data analysis, pipeline development, and platform prototyping
  • Advanced SQL Expertise: Strong expertise in writing, optimizing, and maintaining complex custom SQL queries
  • Engineering Best Practices: Strong commitment to writing clean, modular, reproducible, and well-documented code using version control (Git)
  • Agile Problem Solving: Ability to work in a fast-paced, iterative environment, independently troubleshooting complex technical and data challenges
  • Communication: Strong written and verbal communication skills to collaborate effectively across technical and non-technical teams

Nice to Haves:

  • Experience with modern cloud data warehouses (e.g., Snowflake) and analytics engineering tools (e.g., dbt)
  • Experience building custom web-based data applications or internal tools (e.g., Streamlit, Dash, Gradio, or web frameworks)
  • Domain knowledge in molecular biology, biochemistry, bioinformatics, operations research, or related biotech fields
  • Proficiency in a Linux/Unix environment

Compensation & Total Rewards

This range reflects a good-faith estimate of the base pay we reasonably expect to offer at the time of hire. Final compensation will vary based on experience, qualifications, and internal equity considerations.

This position is also eligible for additional compensation and benefits through Natera’s robust Total Rewards program, including:

  • Long-term equity awards

  • Comprehensive health benefits (medical, dental, vision)

  • 401(k) with company match

  • Generous paid time off and company holidays

  • Additional wellness and work-life benefits

Compensation Range $103,600—$129,450 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:

  • BBB announcement on job scams
  • FBI Cyber Crime resource page

Sponsorship evidence

Why Openbound reached the conclusions above.

Visa sponsorship evidence

Current posting

Silent on sponsorship

Other openings

2 of 199 recent openings at this employer state a sponsorship restriction.

Employer H-1B history

65
recent certified H-1B filings
34
new-hire petitions
0
filings for similar roles
48
so far in FY2026

Filed titles like this role: data engineer · business intelligence analyst · data warehouse engineer · associate business analyst

More evidence details
  • 5 certified H-1B filings for closely related roles, though none for this exact title
  • 65 recent certified H-1B filings across the employer
  • Still filing this year — 48 filings in FY2026
  • 34 USCIS H-1B new-employment approvals, counted separately from LCA filings
  • Strong filing activity in CA
  • 137 further USCIS approvals for extensions or transfers
  • 2 other recent postings at this company state a sponsorship restriction
  • The supporting filings are for related work, not for this exact role
  • The posting says nothing about sponsorship either way

Strong filing activity in CA.

Green card sponsorship evidence

Employer PERM history

19
recent certified PERM filings
3
filings for similar roles
11
filings in this location
Certified PERM filings by fiscal year
20236
202422
202523
202624YTD

Filing history reflects past employer behavior; it isn't a promise for this opening.

All open roles at Natera
How Openbound evaluates sponsorship

Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 110 filing titles were examined for this employer.

What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.