# Senior Data Analytics Engineer, Hardware Quality

Hiring organization: [Oura](https://career.thegoodapps.co/organizations/oura)

Canonical page: https://career.thegoodapps.co/jobs/96e15da8-7284-4a29-9539-a41361d56404

Listed on Oura's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: San Francisco, CA
- Salary: 172550 – 203000 USD per year

## Summary

This role combines hardware quality engineering with data analytics, focusing on manufacturing and field performance data to identify and prevent product issues. It suits experienced data professionals who want to work with real-world hardware problems and collaborate across manufacturing, engineering, and quality teams.

_Our summary, not Oura's wording._

## Skills named

Amazon Web Services (AWS), Anomaly Detection, Databricks, Dialectical Behavior Therapy (DBT), Python, SQL, Statistical Process Control (SPC), Tableau

## Required

- 5+ years of data work in engineering, manufacturing, quality, reliability, or operations
- Strong SQL skills and hands-on Python for data analysis and automation
- Experience with large datasets and engineering-focused analysis
- Manufacturing, hardware test, reliability, warranty, field, or product data experience
- Working knowledge of statistics, population comparison, correlation identification, and trend evaluation
- Analytics and visualization experience with Tableau, Databricks, or similar tools
- Problem-solving skills and understanding of product and process behavior
- Cross-functional collaboration across Hardware, Manufacturing, Firmware, Quality, Reliability, and Data teams
- Clear communication of technical findings to engineering and leadership

## Nice to have

- Consumer electronics, wearables, IoT, or medical device experience
- Manufacturing test data, MES, serialized traceability, or device telemetry experience
- Warranty, RMA, reliability, or field-return data analysis
- Correlating manufacturing or test parameters with downstream failures
- Understanding of hardware test, manufacturing processes, failure mechanisms, battery behavior, or electrical systems
- Statistical process control, anomaly detection, or predictive analytics applied to hardware or manufacturing
- Familiarity with Databricks, Tableau, AWS, dbt, or similar platforms
- AI/ML model validation experience with manufacturing datasets

Apply on Oura's site: https://job-boards.greenhouse.io/oura/jobs/4396798009