Intuit Staff Fraud Risk Analyst 

United States, California, Mountain View 

610191632

• Define and drive the development of intuitive, high-impact dashboards and visualizations that guide strategic and operational decisions across the organization.
• Lead the design, execution, and interpretation of experiments (e.g. A/B testing) to evaluate business initiatives and optimize product or operational performance.
• Partner with cross-functional leaders to shape analytics strategies that are scalable, repeatable, and aligned with team and company goals.
• Communicate insights clearly and persuasively to diverse audiences, including senior leadership, through concise storytelling and executive-ready deliverables.
• Perform deep analysis on large-scale transactional and behavioral data to uncover trends, diagnose anomalies, and inform fraud, credit, or policy strategies, including the design of new risk-adjusted approaches.
• Translate ambiguous questions into structured analytical approaches using available data, domain knowledge, and strategic reasoning.
• Investigate root causes of performance gaps or anomalous behaviors, and recommend timely, data-driven corrective actions to stabilize outcomes.
• Build and maintain clean, reliable data pipelines while proactively addressing gaps in data quality, availability, and structure to enable accurate experimentation and monitoring.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is:Bay Area California $172,000.00 - 232,500.00

• 6+ years of experience in analytics, data science, or decision strategy roles, with a proven track record of driving measurable impact in complex, cross-functional environments. Experience in Financial Services or Fintech preferred.
• Deep proficiency in SQL and working knowledge of Python for data exploration, transformation, and automation of analytics workflows.
• Proficiency in data visualization tools (e.g., Quicksight, Tableau, Qlik) and experience building dashboards for monitoring and decision support.
• Solid comprehension of A/B testing and experimentation principles; experience designing tests and interpreting results to guide decisions.
• Proven track record of influencing cross-functional team decisions through data-driven recommendations.
• Excellent written and verbal communication skills, with the ability to synthesize complex data into clear narratives.
• Demonstrated ability to lead cross-functional initiatives and align stakeholders across many teams through analytics.
• Skilled at ability to define, operationalize, and evolve KPIs or OKRs in partnership with cross-functional teams.
• Bachelor’s Degree in Economics, Science, Math or other Quantitative Field, or commensurate experience.