Director of Data Analytics & Science

Company: Intuit
Location: Mountain View
Posted on: February 18, 2021

Job Description:

OverviewIntuit's Small Business and Self-Employed Group (SBSEG) is hiring a Director of Product Analytics to lead its strategic initiatives in QuickBooks Online Platform and its use of data to power prosperity around the world. We are looking for some exceptional talent who can improve the bottom lines of our offerings through the use of advanced analytics and reporting based on a robust data system. This leader will help create world-class product capabilities based on data and analytics to drive better customer benefits and outcomes. This role is critical to ensure that we can partner with our various data and business teams and to drive the best customer experiences for our product lines that support small business and self-employed world-wide. The role is based in Mountain View, CA.How you will lead

• Accelerates durable growth for SBSEG & its customers through data-driven insights and recommendations.
• Lead and create a team of analysts that support QuickBooks Online Platform.
• Democratizes trusted dashboards and insights in a visible and faster way as measured by time-to-insight, self-service adoption and stakeholder feedback.
• Deep understanding and leadership in A/B testing and other testing paradigms to drive business outcomes. Designs smart, reliable experiments based on standard methods; confidently coach partners on how to generate test hypotheses.
• Raise the bar on storytelling as a vehicle to make analytics & insight deliverables accessible and memorable.
  • Partner with multiple stakeholders to evaluate business performance and make optimization recommendations
  • Knowledge of advanced methods such as artificial intelligence and machine learning.
  • Applies state-of-the art cloud technologies to understand customer behavior to drive better outcomes.
  • Understands and teaches proven methods and hacking skills in working with divergent data types at scale, to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired
  • Provides business stakeholders with the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting insights.
  • Create an execution plan with tangible processes and frameworks to drive rigor and structure, and help teams adopt and repeat with high standards.
  • Lead by example by contributing first-hand in key business decisions, certifying assumptions and assessing logic chains.
  • Drive collaboration with internal and external technology partners (e.g. engineering, product/design, data analytics, data science, and vendors) to firm up requirements and prioritize deliverables to enable data for decision-making.

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