The Global Business Solutions Group (GBSG) Product Growth team at Intuit is looking to accelerate business outcomes through a data-driven and surgical focus on product funnel optimization. They aim to build a center of excellence to drive rapid experiments, deep analytics, and cross-functional collaboration to uncover and scale growth opportunities.
Requirements
- Advanced proficiency in SQL, Python, R, and other analytical tools, with hands-on experience in leveraging data visualization platforms (e.g., Tableau, Power BI) to communicate insights effectively.
- Demonstrated expertise in causal inference techniques, statistical modeling, machine learning, and experimental design.
- Proven ability to quickly jump into new business areas, mastering the key data and metrics to inform decision-making.
Responsibilities
- Define and execute a data science roadmap that drives product funnel optimization and scalable growth initiatives across diverse business areas.
- Utilize rigorous causal inference techniques, advanced statistical modeling, and machine learning to extract actionable insights from complex datasets.
- Develop a comprehensive, end-to-end data view of the customer experience, quickly mastering different areas of the business to identify new opportunities for growth.
- Design, implement, and analyze rapid experiments to validate hypotheses, ensuring every initiative is grounded in data-driven insights and robust causal analysis.
- Support improvements in instrumentation, data quality, and logging to enhance analytical capabilities and drive deeper understanding of customer behavior.
- Serve as a technical leader within the Product Growth team, setting the gold standard for analytical rigor and innovative problem-solving.
- Share expertise and best practices in causal inference and advanced analytics, mentoring team members and contributing to the broader growth framework at Intuit.
Other
- 10+ years of experience in data science or analytics, with a strong track record in applying advanced analytical methods to drive product and business growth.
- Strong communication and storytelling skills, with a history of 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.
- Partner closely with Product, Engineering, Design, and other cross-functional teams to integrate data insights into actionable product strategies and improvements.
