Intuit’s Global Business Solutions Group (GBSG) is dedicated to creating tools and services that dramatically increase the ability of small-medium businesses (SMBs) to manage cash flow, specifically through the QuickBooks Money team’s development of innovative tools to help customers get paid faster and with confidence.
Requirements
- Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, Plotly Dash
- Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.)
- Familiarity with Linux/OS X command line, version control software (git), and general software development
- Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas
- 10+ years of experience in data science or product analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation
- Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit
- Experience in designing and interpreting complex experiments beyond traditional A/B testing methods
Responsibilities
- Conceptualize business problems or opportunities, formulate hypotheses and goals, define key metrics and make actionable recommendations
- Drive strategic insights that shape the future of Money-movement ecosystem products within Intuit, impacting millions of small businesses
- Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform product innovation
- Build and apply durable customer segmentation patterns to renew product targeting, positioning, and customer experience
- Partner closely with Product Management, Marketing, Engineering, Design, and Analytics leaders to deliver insights that drive product strategy and growth
- Translate complex data insights into actionable recommendations for technical and non-technical stakeholders, and business leaders
Other
- BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field. Equivalent experience will be considered.
- Outstanding communication skills with the ability to influence decision makers and build consensus with teams
- Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment
- Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors. Experience in the fintech or SMB space is highly preferred.
- 10+ years of experience in data science or product analytics, preferably in fintech
