Senior Analyst - Risk Data Intelligence, Fintech

Intuit; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Intuit seeks a Senior Fraud & Risk Analyst to join the Risk Data Intelligence (RDI) team within Intuit's Global Solutions Business Group in New York. You will translate complex data into clear narratives, build dashboards, and run experiments to inform fraud, credit, or policy decisions.

You will partner with Fraud & Risk Policy, Data Science, Compliance, Marketing, Product, and Finance to scale analytics, monitor performance, and drive data-driven actions.

Qualifications

• 3+ years of analytics, data science, or decision strategy experience, fintech preferred.
• Advanced SQL and Python for data exploration, transformation, and automation.
• Proficient in data visualization and dashboard design for monitoring.
• Experience influencing cross-functional decisions with data-driven recommendations.

Responsibilities

• Communicate insights clearly to technical and non-technical audiences, including leadership.
• Develop dashboards and visualizations to monitor performance and guide decisions.
• Design, execute, and interpret A/B or multi-variate tests to evaluate initiatives.
• Partner with stakeholders to ensure scalable, repeatable analytics solutions.
• Analyze large-scale transactional and behavioral data to uncover trends and inform risk strategies.
• Translate ambiguous questions into structured analytical approaches using data and domain knowledge.
• Investigate data quality gaps and recommend timely corrective actions.
• Build and maintain reliable data pipelines for monitoring and experimentation at scale.

Skills

Analytical skills

SQL proficiency

Python for data work

Data visualization

Cross-functional collaboration

KPI/OKR tracking

Communication skills

Ownership & accountability

Education

Bachelor's degree in Economics/Science/Math or quantitative field

Tools

SQL

Python

Tableau

Qlik

Amazon QuickSight

Job description

Overview

One out of every two small businesses fail within their first five years, most often due to running out of cash. Intuit QuickBooks is on a mission to provide small & medium-sized businesses access to all the tools they need to manage cashflow. We leverage the rich data inside QuickBooks to enable super-fast payments, payroll, bill pay, and access to capital. With QuickBooks, entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity around the world.

Overview

One out of every two small businesses fail within their first five years, most often due to running out of cash. Intuit QuickBooks is on a mission to provide small & medium-sized businesses access to all the tools they need to manage cashflow. We leverage the rich data inside QuickBooks to enable super-fast payments, payroll, bill pay, and access to capital. With QuickBooks, entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity around the world.

We are seeking a Senior Fraud & Risk Analyst as part of our growing Risk Data Intelligence (RDI) team within Intuit’s Global Solutions Business Group (GSBG). Be at the cutting edge of fintech — GSBG moves tens of billions of dollars for Intuit’s customers. The successful analyst will work across functions (Fraud & Risk Policy, Data Science, Compliance, Marketing, Product, Finance, and others) and use data to drive insights that help achieve GSBG’s short- and long-term outcomes. We’re looking for a candidate who will help build a strong analytics culture as part of our growing team.

Responsibilities

• Communicate insights clearly and concisely to technical and non-technical audiences, including leadership, through structured storytelling and executive-ready deliverables.
• Develop compelling, intuitive dashboards and visualizations that monitor performance, surface opportunities, and support timely strategic and operational decisions.
• Design, execute, and interpret data-driven tests and experiments (including A/B tests) to evaluate business initiatives and compare performance against goals.
• Partner with stakeholders and analysts so analytical solutions are scalable, repeatable, and aligned with team and company goals.
• Perform deep analysis on large-scale transactional and behavioral data to uncover trends, diagnose anomalies, and inform fraud, credit, or policy strategies, including new risk-adjusted approaches.
• Translate ambiguous questions into structured analytical approaches using available data, domain knowledge, and business judgment.
• Investigate root causes of performance gaps or anomalous risk behaviors, and recommend timely, data-driven corrective actions.
• Identify and address gaps in data quality, availability, or structure that limit measurement, experimentation, or insight generation.
• Build and maintain clean, reliable data pipelines to support monitoring and experimentation at scale.

Qualifications

• Strong analytical ability and proven business acumen with at least 3 years of experience in analytics, data science, or decision strategy. Experience in financial services or fintech preferred.
• Advanced SQL and working knowledge of Python for data exploration, transformation, segmentation, 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 understanding of statistical analysis and experimentation, including A/B and multivariate testing; experience designing tests and interpreting results to guide decisions.
• Proven track record of influencing cross-functional decisions through data-driven recommendations.
• Excellent written and verbal communication skills, with the ability to synthesize complex data into clear narratives.
• High degree of ownership, accountability, and empathy in cross-functional settings.
• Experience defining, tracking, and operationalizing KPI or OKR metrics with partners.
• Bachelor’s degree in Economics, Science, Math, or another quantitative field, or commensurate experience.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs about our compensation and benefits at Intuit®: Careers | Benefits. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The Expected Base Pay Range For This Position Is

New York $140,500 - $190,000