Intuit Mid Market penetration through a data-driven, product-led approach to growth.
Requirements
- 5+ years of experience in data science or analytics, with a proven record of applying advanced analytical methods to drive product and business growth.
- 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.
- 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 crossfunctional 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.
- Serve as a technical SME within the Product Growth team, championing analytical rigor and innovative problem-solving approaches.
- 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.
- Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master’s Degree preferred
