Job brief: Senior Data Analyst, Production Support

Natera · San Carlos, CA · facts as of 2026-11-07. Anyone can open this page; no account needed.

Is it still open? · Checked by JoRoute

Still listed. JoRoute saw it on Natera's own job board 11 hours ago; the employer first posted it on 2026-10-05.

What JoRoute checked · Checked by JoRoute

  • Listed on Natera's own job board. JoRoute does not take listings from job ads or recruiters.
  • First seen by JoRoute 2026-11-04 (3 days ago); last confirmed on the board 2026-11-07.
  • The apply link opens job-boards.greenhouse.io, the address Natera's board gives for this job.
  • No other listing with this title and place on this board in the last 90 days.
  • No layoff notices (WARN) under this name in the state files JoRoute reads.

What the listing says · Employer's own words, not checked

  • Pay: $145,000 to $170,000 a year
  • Job type: Not stated
  • Where: San Carlos, CA · US
  • Posted: 2026-10-05

What the job asks · Employer's own words, not checked

Level: Senior. The title says "Senior".

Must have

  • Masters degree in Statistics, Mathematics, Computer Science, Engineering, Bioinformatics, Operational Research, or other related fields PLUS a minimum 3 years of relevant industry…
  • OR Bachelor's degree in related fields PLUS a minimum 6 years of relevant industry experience.
  • Minimum 3 years of hands-on experience in data analysis, extraction, and querying.

Conditions

  • Important: this position will work on the Weekend Shift team, with the following rotation schedules:
  • As a Senior Data Analyst for Lab Production Support in our DSPE Extended-Hours Support (ExHS) team, you will work in the Weekend Shift team (following the above two rotation sched…
  • Generous paid time off and company holidays

Main duties

  • Deliver timely data support to Lab Operations teams, unblock production issues, and improve patient results turnaround times.
  • Design and implement automated solutions for recurring data analysis and production support workflows, improving operational efficiency and scalability.
  • Develop and optimize solutions for efficient data retrieval and scalable performance on large and/or complex datasets.
  • 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.

Lines copied from the posting, not rewritten. "Preferred" or "nice to have" items are not listed as must-haves.

How it compares · Compared by JoRoute from listings

  • Typical listed pay for data and analytics jobs in California: $147k a year (335 listings, 58 employers). This listing is 7% higher.
  • Across Natera's 221 open listings, 30% of those with a posting date were first posted more than 60 days ago. How Natera hires

What nobody outside the employer knows · Not known

  • Whether the role is already filled or on hold: employers often leave listings up.
  • How many people applied, and who reads the applications.
  • Where in the published range an offer would land.

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  1. Which of the listed places is this role based in?
  2. What are the interview steps, and when should I expect to hear back?

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A summary of facts and listings, not a verdict that this job or employer is safe. JoRoute is not affiliated with Natera. How JoRoute checks listings · Original posting