Intuit
Staff Quality Analyst — Service Quality
$151K–$204K
San Diego, California +1 · Staff · Full-time · Posted Oct 22, 2026
- Location
- San Diego, California
Mountain View, California - Experience
- 7+ years in operational analytics, quality analytics, or continuous improvement roles.
- Education
- Bachelor’s degree in a quantitative field or equivalent professional experience in operational analytics.
About the job
Owns defect measurement and analytics for Intuit’s Expert Network, prioritizing and validating improvements that reduce customer experience defects and improve resolution, interaction quality, and customer friction outcomes.
What you'll do
- Design defect measurement frameworks and funnels, quantify customer impact, and prioritize improvement work.
- Analyze operational data, identify root causes, and statistically validate whether initiatives improve outcomes.
- Drive fixes with cross-functional partners; build dashboards and communicate findings to leadership.
What they ask for
- SQL proficiency and working fluency in Python or R, with applied statistics skills.
- Experience turning operational data into quantified improvement roadmaps and validating results; experience with defect- or rate-based measurement frameworks such as DPMO or equivalent.
- Experience in complex, high-stakes service operations and building dashboards or analytical products that inform leadership decisions.
- Working knowledge of structured improvement methods and experience driving accountability in matrixed organizations; bachelor’s degree in a quantitative field or equivalent professional experience in operational analytics.
Nice to have
- Lean Six Sigma certification; causal inference or experimentation experience.
- Experience with conversation intelligence or AI-based quality measurement systems.
Pay
San Diego $151,000 - $204,000 (base salary)
Tools
SQL, Python, R, LLM-based assistants, agentic workflows, A/B testing, difference-in-differences
AI focus
Use LLM-based assistants and agentic workflows to accelerate defect detection, root-cause analysis, prioritization, and reporting; evaluate AI-native quality measurement and validate AI-scored metrics against human-labeled ground truth.
Model-written summary · the original posting is authoritative