Google-posted 11 days ago
$166,000 - $244,000/Yr
Full-time • Mid Level
Mountain View, CA
5,001-10,000 employees

The Central Operations Analytics team's (COAT) mission is to improve quality and manufacturing through data-driven decision making. The team focuses on governing quality return rates forecast through in-house developed algorithms, owning the strategy and development of scalable data tools, prototyping GenAI and advanced dashboards, and leading analytics to solve critical business problems.

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions.
  • Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
  • Use custom data infrastructure or existing data models as appropriate.
  • Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Develop specialized tools for root cause analysis, station diagnostics, and statistical process control (SPC) to enable continuous improvement.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
  • Format, restructure, or validate data to ensure quality.
  • Analyze telemetry data and customer sentiment to quantify its impact on quality and inform design improvements.
  • Master's degree in statistics, data science, mathematics, physics, economics, operations research, engineering, a related quantitative field, or equivalent practical experience.
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
  • Experience using ETL tools.
  • Experience conducting root cause analysis.
  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
  • Experience supporting manufacturing, supply chain, or quality analytics.
  • bonus
  • equity
  • benefits
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