Group Manager, Business Data Analytics

Job Overview

Intuit is seeking an experienced analytics leader to join the Professional Tax Group (PTG) Analytics team as a Group Manager. In this role, you will have the opportunity to drive strategic decision making with unmatched speed, insights, accuracy and capabilities. In this role, you will oversee multiple teams that leverage marketing. sales, and product data to surface business insights, build models to optimize outcomes, and deliver strategic insight for the business. This role will drive critical cross-functional strategies and will partner closely with senior leaders in marketing, sales, product management, data engineering, data analytics, and data science. The insights and strategies generated by your teams will be instrumental in driving funnel conversion, customer satisfaction, retention, acquisition, and financial goals.

Responsibilities

• Drives strategic thinking to optimize product, marketing, and customer success efforts (inclusive of experimentation) for customer journeys, based on customer segments, lifecycle stages, and other critical customer attributes.
• Represents analytics function on cross-functional leadership team and provides/inspires data-driven change around end-to-end customer experiences to improve retention and reduce churn.
• Develops and grows an exceptional team of business data analysts; prioritizes the team’s work to maximize effectiveness and impact both at the individual and team
• Partners with cross-functional stakeholders to better understand our users and create a single, accurate view of a customer across businesses to make decisions about how best to acquire/retain them, segment, identify high potential value, and proactively interact with them.
• Collects, analyzes, and models available data to advance the customer analytics space and build a broad understanding of the Consumer Group’s customers and relevant customer segments.
• Provides guidance and support to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals.
• Champion data-driven decision-making , collaborating with other analytical teams to consume shared capabilities and drive a boundaryless analytical mind set to drive best practices and data strategy
• Provides insights to the leadership team around the impact of strategic initiatives, trends in key metrics, and help track progress towards goals – moving beyond operation analytics insights into strategic ways of measuring/defining new metrics for driving business forward
• Partners with cross-functional teams including Consumer Tax, Marketing, Commerce, Engineering, and Analytics to design and build analytics tools that constantly improve customer experience

Qualifications

• 10+ years of experience working in web, product, marketing, or other related analytics fields. Ability to influence with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations.
• 5+ years working in analytics leveraging product data, monetization data, customer analytics, customer insights, or related field/function. Demonstrated ability to deeply analyze product and funnel data to inform marketing and product decisions.
• 3-5 years' experience managing business data analysts and/or data scientists with a proven track record of building high-performing analytics teams and developing successful analysts/data scientists.
• Strong modeling foundation is a plus, including hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression,
• tree-based methods, neural nets, support vector machines, anomaly detection, and natural language processing.
• Excellent critical thinking and problem solving skills
• Experience with customer segmentation, data enrichment tools and technologies, and personalization at scale (preferably in a B2C context).
• Highly proficient in SQL, Tableau, and Excel, with expertise in modern advanced analytical tools and programming languages such as Python a plus.
• A great storyteller and communicator and can build relationships with a diverse set of stakeholders, including both technical and non-technical colleagues.
• Ability to manage complex, cross-functional projects end-to-end and drive organizational change via both clarity of strategy and executional rigor.
• Passionate about mentoring others and the advancement of the team
• Genuine customer empathy to find solutions to improve the lives of our customers
• MS in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent experience is preferred.