Drive Intuit Mid Market penetration through a data-driven, product-led approach to growth
Requirements
- Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design
- Advanced skills in SQL, Python, R, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Power BI) to communicate insights
- Experience with data integration and pipeline development is a plus
Responsibilities
- Contribute to and help refine a data science roadmap aimed at driving product funnel optimization and scalable growth initiatives
- Apply rigorous causal inference methods, advanced statistical modeling, and machine learning techniques to turn complex data into actionable insights
- Develop an integrated view of the customer journey across various business metrics, quickly familiarizing yourself with new areas to pinpoint growth opportunities
- Design, implement, and analyze targeted experiments to validate hypotheses, ensuring each initiative is built on data-driven insights and sound causal analysis
- Work closely with Product, Engineering, Design, and other cross-functional teams to translate data insights into strategic product enhancements
- Support ongoing improvements in instrumentation, data quality, and logging practices to enrich our analytical capabilities and understanding of customer behavior
- Rapidly assimilate diverse business metrics and data sources to uncover insights and propose high-impact hypotheses
Other
- Strong ability to quickly understand new business areas, mastering the essential data and metrics needed for informed decision-making
- Excellent communication and storytelling skills, with a track record of effectively influencing both technical and non-technical stakeholders through data-driven insights
- A relentless focus on customer centricity, with deep empathy and a commitment to uncovering opportunities that improve customer experiences
- An agile, entrepreneurial mindset, capable of balancing long-term strategic initiatives with rapid, iterative experimentation
