Intuit
Staff Business Data Analyst - Quality Management System
$151K–$229K
San Diego, California +2 · Staff · Full-time · Posted Oct 15, 2026
- Location
- San Diego, California
Mountain View, California
Atlanta, Georgia - Experience
- 7+ years in operational analytics, quality analytics, or continuous improvement roles delivering measurable business outcomes.
- Education
- Bachelor’s degree in a quantitative field (Data Science, Statistics, Industrial Engineering, Operations Research, Economics, Business Analytics) or equivalent professional experience in operational analytics.
About the job
Owns analytics and measurement for reducing defects across Intuit’s Expert Network, using operational and AI-scored conversation data to identify root causes, prioritize fixes, and validate their impact on customer outcomes.
What you'll do
- Design defect measurement systems and funnels, prioritize improvement initiatives, and maintain quality metrics.
- Analyze operational data, validate outcomes statistically, and work with teams on AI-based quality measurement and human review.
- Drive defect-reduction initiatives, build dashboards, and communicate findings and progress to stakeholders.
What they ask for
- Strong SQL skills and working fluency in Python or R, with applied statistics.
- Experience translating operational data into prioritized improvement roadmaps and validating results; experience with defect- or rate-based measurement such as DPMO or equivalent.
- Experience or strong working familiarity with contact center operations, including scaled service operations and BPO or vendor delivery models.
- Bachelor’s degree in a quantitative field or equivalent professional experience in operational analytics.
Nice to have
- Experience with causal inference or experimentation, or AI-based conversation quality measurement.
- Experience with human-in-the-loop evaluation, responsible AI, or structured change management.
Pay
USD 151,000 - 204,000 base salary (San Diego); USD 169,500- 229,000 base salary (Mountain View, CA)
Tools
SQL, Python, R, LLM-based assistants
AI focus
Use AI tools and agentic workflows to accelerate defect analysis and prioritization; evaluate AI-based quality measures against human-labeled ground truth; operate human-review processes; and ensure scoring is explainable, monitored for bias and drift, and subject to human oversight.
Model-written summary · the original posting is authoritative