Staff Business Data Analyst

Do you have a passion for using data to drive business strategies and optimize performance? Do you want a role that exposes you to bleeding edge technologies?

Intuit’s Consumer Group (CG) has an exciting opportunity for a best in class, data-driven leader in the TurboTax Product Analytics organization. As a Staff Business Data Analyst, you will be in a highly influential position to inform product strategy and drive maximum business results.

• Perform hands-on data analysis and modeling with huge data sets
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders to measure and optimize execution of data-driven strategies in emerging areas of the TurboTax roadmap.
• Utilize models and develop advanced experimentation methods, such as synthetic controls, propensity score matching techniques etc. to measure product performance
• Manage data integration and engineering with Product platform for data hygiene
• Provides guidance and support to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals in standardization of reporting and strategy.
• Drive strategic thinking and cross-functional alignment around data-driven approaches to optimizing the TurboTax conversion funnel
• Draft whitepapers to summarize complex Analytics concepts with clearly outlined principles and data backed research
• Influence team's roadmap by sharing findings with the rest of the company, and driving and verifying change in our marketing channel spend
• Mentor junior analysts to raise the bar across the Analytics organization

• 7-10 years of experience working in web, product, marketing, or other related analytics fields. Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
• Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
• Advanced proficiency in SQL, Tableau, and Excel, with expertise in modern advanced analytical tools and programming languages such as Python a plus.
• Experience in defining metrics and instrumenting data tracking in clickstream
• Excellent problem-solving skills and end to end quantitative thinking
• Ability to manage multiple projects simultaneously to meet objectives and key deadlines
• A great storyteller and communicator and can build relationships with a diverse set of stakeholders, including both technical and non-technical colleagues.
• MS in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent work experience is preferred.