Senior Data Analytics Engineer, Hardware Quality

Posted Yesterday
San Francisco, CA, USA
In-Office
173K-203K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Marketing Tech • Software • Biotech • Design
The Role
Analyze manufacturing, test, telemetry, warranty, field-return, and failure-analysis data to identify hardware quality trends and emerging issues. Build statistical analyses, dashboards, monitoring indicators, and automated reporting. Connect product performance to manufacturing processes, components, and test results; support failure investigations and corrective actions. Partner with hardware, manufacturing, quality, reliability, firmware, data engineering, and data science teams to resolve data gaps and communicate actionable recommendations.
Summary Generated by Built In

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. 

We are looking for a Senior Quality Data Engineer – Hardware to join our Hardware Quality Engineering team.

In this role, you will bring together manufacturing, test, device telemetry, field, warranty, and failure analysis data to understand how our products are performing and where we can improve. You will work closely with engineering and manufacturing teams to identify quality trends, investigate failures, improve detection, and help prevent known issues from reaching customers.

This is a hands-on role for someone who enjoys working at the intersection of hardware and data. You will work closely with Hardware Engineering, Quality, Manufacturing, Reliability, Firmware, Operations, and Data teams.

What you will do
  • Analyze manufacturing, factory test, device telemetry, field, warranty, and failure analysis data to identify quality trends and emerging issues.
  • Connect data across manufacturing systems, test logs, device telemetry, and field returns to understand relationships between how a product was built, how it performed during test, and how it performs in the field.
  • Support failure investigations by identifying patterns and correlations that help connect field failures back to manufacturing processes, components, test results, or product behavior.
  • Compare failed and known-good populations to identify manufacturing, test, telemetry, or component signals associated with downstream failures.
  • Analyze manufacturing and final test parameters to identify marginal passes, abnormal trends, and opportunities to improve screening and escape detection.
  • Build cohort-based warranty and field-quality analysis across product, build, factory, component, configuration, and time in field.
  • Apply statistical methods to separate meaningful product and process signals from normal variation and help teams make data-driven quality decisions.
  • Develop monitoring and early-warning indicators that help identify emerging quality issues before they become larger field or warranty problems.
  • Partner with Quality and Engineering teams to validate findings through failure analysis, controlled builds, additional inspection, or process experiments, and measure whether corrective actions are working.
  • Identify gaps in manufacturing and quality data, including missing data, inconsistent definitions, traceability gaps, or conflicting metrics, and work with the appropriate teams to resolve them.
  • Build scalable analytics, dashboards, and automated reporting that give engineering teams clear visibility into product and manufacturing quality.
  • Partner with Data Engineering and Data Science teams when new data pipelines or infrastructure are needed while owning the Hardware Quality use cases and analysis.
  • Communicate findings clearly and turn complex datasets into conclusions and recommendations that engineering teams and leadership can act on.
We would love to have you on our team if you have
  • 5+ years of experience working with data in engineering, manufacturing, quality, reliability, operations, or a related technical environment.
  • Strong SQL skills and hands-on experience with Python for data analysis and automation.
  • Experience working with large datasets and turning ambiguous engineering or product questions into structured analysis.
  • Experience with manufacturing, hardware test, reliability, warranty, field, or product data.
  • Working knowledge of statistics and experience comparing populations, identifying correlations, and evaluating trends.
  • Experience building analytics and visualizations using Tableau, Databricks, or similar tools.
  • Strong problem-solving skills and curiosity to understand why a product or process is behaving the way it is.
  • Ability to work effectively across Hardware, Manufacturing, Firmware, Quality, Reliability, and Data teams.
  • Ability to communicate technical findings clearly to both engineering teams and leadership.
  • Experience validating data outputs from AI/ML models to manufacturing data sets via python, athena data analysis
What makes you stand out
  • Experience with consumer electronics, wearables, IoT, medical devices, or other high-volume hardware products.
  • Experience working with manufacturing test data, MES, serialized device traceability, factory process data, or device telemetry.
  • Experience analyzing warranty, RMA, reliability, or field-return data.
  • Experience correlating manufacturing or test parameters with downstream product failures.
  • Understanding of hardware test, manufacturing processes, failure mechanisms, battery behavior, or electrical systems.
  • Experience with statistical process control, anomaly detection, predictive analytics, or similar techniques applied to hardware or manufacturing problems.
  • Familiarity with Databricks, Tableau, AWS, dbt, or similar data and analytics platforms.

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

  • Competitive salary and equity packages
  • Health, dental, vision insurance, and mental health resources
  • An Oura Ring of your own plus employee discounts for friends & family
  • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
  • Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

  • Region : $172,550- $203,000

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Disclaimer: Beware of fake job offers!
We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:

  • Our jobs are listed only on the ŌURA Careers page and trusted job boards.
  • We will never ask for personal information like ID or payment for equipment upfront.
  • Official offers are sent through Docusign after a verbal offer, not via text or email.

Stay cautious and protect your personal details.

To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Skills Required

  • 5+ years of experience working with data in engineering, manufacturing, quality, reliability, operations, or a related technical environment
  • Strong SQL skills
  • Hands-on experience with Python for data analysis and automation
  • Experience working with large datasets and turning ambiguous engineering or product questions into structured analysis
  • Experience with manufacturing, hardware test, reliability, warranty, field, or product data
  • Working knowledge of statistics and experience comparing populations, identifying correlations, and evaluating trends
  • Experience building analytics and visualizations using Tableau, Databricks, or similar tools
  • Strong problem-solving skills and curiosity to understand product or process behavior
  • Ability to work effectively across Hardware, Manufacturing, Firmware, Quality, Reliability, and Data teams
  • Ability to communicate technical findings clearly to engineering teams and leadership
  • Experience validating AI/ML model data outputs against manufacturing datasets using Python and Athena data analysis
  • Experience with consumer electronics, wearables, IoT, medical devices, or other high-volume hardware products
  • Experience with manufacturing test data, MES, serialized device traceability, factory process data, or device telemetry
  • Experience analyzing warranty, RMA, reliability, or field-return data
  • Experience correlating manufacturing or test parameters with downstream product failures
  • Understanding of hardware test, manufacturing processes, failure mechanisms, battery behavior, or electrical systems
  • Experience with statistical process control, anomaly detection, predictive analytics, or similar techniques applied to hardware or manufacturing problems
  • Familiarity with Databricks, Tableau, AWS, dbt, or similar data and analytics platforms

Ōura Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ōura and has not been reviewed or approved by Ōura.

  • Fair & Transparent Compensation Compensation is considered competitive for a midsize, high‑growth company, supported by posted role‑ and location‑based pay bands that signal structured ranges. A public equal‑pay pledge reinforces attention to fairness.
  • Equity Value & Accessibility Equity is a meaningful part of total compensation at a growing company, contributing to perceived upside over time. This ownership component complements base pay in the total rewards mix.
  • Leave & Time Off Breadth The package includes substantial PTO, paid holidays, and dedicated wellness days that together exceed a basic time‑off offering. This breadth of time away supports recovery and balance.

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The Company
HQ: Oulu
850 Employees
Year Founded: 2013

What We Do

Oura is an award-winning and fast-growing startup that helps people track all stages of sleep and activity using the Oura Ring and connected app. By providing daily feedback and practical steps to inspire healthy lifestyles, we've helped hundreds of thousands of people improve their sleep, understand their bodies, and transform their health. We’re on a mission to empower every person to own their inner potential, and we’re seeking talented individuals to join us on our journey. JOIN THE OURA TEAM Oura is full of skilled experts and we’re known to share a good laugh every now and then. We always strive to learn more and dig deeper into our research and analytics, to stay engaged and creative in everything we do. We respect our partners, privacy and the scientific method. We are a multi-disciplinary team of over 100 experts in hardware engineering, software development, machine learning, bioscience, sleep, industrial and UX design, production, marketing and customer experience. Oura Health Ltd.’s HQ and major manufacturing facilities are located in Oulu, Finland. Other locations include Helsinki and San Francisco.

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