Senior Analytics Lead, Service Quality & Defects

Intuit, Inc.

United States

On-site

USD 172,000 - 249,000

Full time

14 days+

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Benefits offered by this job

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Job summary

Intuit, Inc. is seeking an analytics leader to own a portfolio of defect domains, defining how success is measured and defended with data. You will build robust defect funnels, deploy rigorous causal analysis, and drive end-to-end improvements across cross-functional teams.

You will mentor staff analysts and instrument AI-assisted playbooks to scale impact across the organization. The role emphasizes leadership in data-driven decision making, advanced SQL/Python/R skills, and experience

Qualifications

  • 10+ years in operational analytics, quality analytics, or continuous improvement where the deliverable was an outcome, not a report.
  • Lean, Six Sigma, and RCA knowledge used to drive fixes from analysis.
  • Strong SQL and working fluency in Python or R on large operational datasets; solid applied statistics.
  • Track record turning operational data into prioritized, quantified roadmaps — and validating whether they worked.
  • Experience owning a portfolio of domains or metrics, including defending prioritization across competing demands.
  • DPMO or equivalent rate-based measurement frameworks; translating process defects into outcome impact.
  • Complex, high-stakes service operations — contact center, fintech, financial services, or expert/advisor networks.
  • Dashboards and analytical products that drive leadership decisions, including with AI-powered tools.
  • Driving accountability in matrixed organizations without direct authority.
  • Presenting contested findings to senior stakeholders and holding alignment.
  • Bachelor's in a quantitative field or equivalent professional experience

Responsibilities

  • Design the measurement for your defect portfolio — defect definition, opportunity base, DPMO instrumentation — so every rate ladders to a customer outcome
  • Build and maintain defect funnels; evolve the defect taxonomy as the environment changes
  • Own the prioritization call across the portfolio: rank by modeled customer impact, defend it with data when contested
  • Analyze resolution, quality, sentiment, and friction signals in SQL and Python/R to isolate verified root cause — not plausible narrative
  • Validate impact with rigor (pre/post with controls, cohort, causal methods) and say clearly when the needle didn't move
  • Run the operating loop end to end: defect detected - root cause verified - initiative launched - outcome validated - loop closed
  • Deploy structured improvement methods — RCA, Kaizen, VSM, standard work — as the delivery mechanism for what the analysis prioritized
  • Hold dependencies (product, platform, routing, back office) accountable for their share of friction with quantified evidence and structured escalation
  • Build dashboards and reporting designed for action; present outcome movement in daily huddles and business reviews
  • Land uncomfortable findings with senior stakeholders when the data contradicts the prevailing narrative
  • Use LLM assistants and agentic workflows as core analytical tooling; build AI-assisted playbooks the whole team can run
  • Mentor Staff-level analysts and support Mission Team expansion with measurement and problem-solving coaching

Skills

SQL
Python/R
Statistical analysis
Lean Six Sigma
Portfolio management
Data storytelling

Education

Bachelor's in a quantitative field

Tools

Python
R

Job description

Intuit, Inc. is seeking an analytics leader to own a portfolio of defect domains, defining how success is measured and defended with data. You will build robust defect funnels, deploy rigorous causal analysis, and drive end-to-end improvements across cross-functional teams.

You will mentor staff analysts and instrument AI-assisted playbooks to scale impact across the organization. The role emphasizes leadership in data-driven decision making, advanced SQL/Python/R skills, and experience

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