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Intuit is a global technology platform that helps consumers and small businesses overcome their most important financial challenges. Serving more than 100 million customers worldwide, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Overview

We are looking for world class analytics talent to join our team of analysts to drive actionable insights across Assisted Tax Products for TurboTax. We have an exciting opportunity to help shape how we use data and technology to reach our customers with personalized experiences using different touchpoints. This role will partner closely with the product teams, customer success teams and marketing teams. This role will be primarily responsible for leveraging analytics and data science to derive insights across the new capabilities across the TT Platform as well as uncover opportunities to increase conversion and acquisition.

What you'll bring

• 7-10 years of experience working in marketing, web, product, or other related analytics fields.
• Highly proficient in SQL, Tableau, and Excel.
• Experience in modeling or business application/evaluation of machine learning.
• Experience in a scripting language preferred but not necessary.
• Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations.
• Excellent problem-solving skills and end to end quantitative thinking.
• Ability to manage multiple projects simultaneously to meet objectives and deadlines.
• Outstanding communications skills with both technical and non-technical colleagues.
• Strong organizational skills, time management, portfolio prioritization experience, and accountability required.
• Bachelor's Degree in Math, Statistics, Computer Science, or related field, or equivalent experience; Master's Degree preferred

How you will lead

• Provides guidance and thought partnership to Business leaders and stakeholders on how best to harness available data in support of critical business needs and goals as well as works through highly complex and cross-functional challenges to accomplish portfolio objectives
• Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning
• Uses considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, and business analysts in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
• Applies proven methods and hacking skills in working with divergent data types, data scales, and big data (petabytes), to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources (relational and non-relational NoSQL databases)
• Provides to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research
• Drives contribution to the learning plan, reporting plan, and data plan for their portfolio to ensure data is produced and available for reporting, testing, ad hoc analysis, and business insights and decision making