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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 businesses access to all the tools they need to manage cashflow. We leverage the rich data inside QuickBooks to enable super-fast payments, payroll, and access to capital. With QuickBooks, America’s 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 Business Data Analyst as part of our growing Risk Analytics and Insight team within Intuit’s Small Business & Self-Employed Group (SBG). Be at the cutting edge of the FinTech industry – the SBG division moves tens of billions of dollars in money for Intuit’s customers.

The successful analyst will work across functions (Fraud & Risk Operations, Data Science, Compliance, Marketing, Product, Finance, etc.) and use data to drive insights which help achieve Intuit Small Business Group’s short and long-term business outcomes. 


We’re looking for a candidate who will continue to build a strong analytics culture as part of our growing team. This role reports to the Manager of Analytics – Insights and Experimentation as part of the broader Analytics & Insights Group.

Coordinate with Risk, Product, and Operations leaders, database engineers and executives to accomplish the following:

  • Translate business questions into verifiable hypotheses and make decisions through testing.
  • Leverage data to understand our Small Business money movement and banking risk in depth and identify trends that indicate elevated risk and inform and influence Risk Policy where applicable.
  • Proactively identify areas of opportunity and suggest projects to mitigate risk while providing an awesome and delightful customer experience.
  • Work with engineers to develop, test, and maintain accurate tracking, capturing and reporting of key Fraud Risk & Compliance metrics via server-side data collection and other database sources.
  • Maintain and improve a set of automated reporting to provide the basis for in-depth analysis and business evaluation; in doing so provide the standardized logic for Risk analysts to build upon.
  • Use tools and programs such Microsoft SQL Server (SSRS, SSAS), Excel, Python, Tableau, QlikView and many other internal tools to work efficiently at scale.
  • Provide analysis and insight that help manage Fraud & Risk policies such as anti-money laundering and approvals/underwriting for all money movement products.
  • Utilize predictive modeling and other advanced techniques to prevent money laundering, acceptable use violations, first and third-party fraud attacks.
  • Partner with Risk & Compliance Operations to provide analysis and reporting that enables efficient Risk processes and results in improved metrics and performance.
  • Strong business acumen and exceptional analytical ability with 2-5 years of relevant experience. Experience in Banking, Financial Services or FinTech a significant advantage.
  • Advanced SQL and coding skills to perform data segmentation and aggregation from scratch. Microsoft SQL Server Management Studio experience highly preferred.
  • Good working experience with data analytics and visualization tools (Excel, Power Pivot, Tableau, QlikView, etc.). Experience with statistical analysis, ML/AI, A/B and multivariate testing highly desired.
  • Outstanding communication skills with the ability to deftly negotiate, prioritize across teams, influence decision makers and build consensus with teams.
  • High degree of accountability, organization and empathy.
  • Experience working with Key Performance Indicator metrics such as conversion rates, user acquisition, conversion and retention and/or product usage.
  • Bachelor’s Degree in Quantitative Field or commensurate work experience.