Intuit Inc.
Head of Sales Analytics
Intuit Inc., Atlanta, Georgia, United States, 30383
Intuit Mailchimp is seeking an experienced analytics leader to lead & scale our sales analytics team. We have an exciting opportunity to evolve and accelerate the way we leverage behavioral and transactional data to drive revenue growth and improve customer retention. This role will drive critical cross-functional strategies and will partner closely with sales, marketing, product management, data engineering, data analytics, data science, and other cross-functional partners. We’re looking for someone who has a high bar for quality, intends to do the right thing, and is driven by achieving and driving business outcomes.Responsibilities
Drive strategic thinking to optimize Sales Team efforts (inclusive of experimentation), 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 data analysts and partners effectively with data engineers and data scientists; prioritizes the team’s work to maximize effectiveness and impact both at the individual and team level.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.Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning.Collects, analyzes, and models available data to advance the customer/analytics space and build a broad understanding of the Mailchimp customers and relevant customer segments.Pursues data quality, troubleshoots data validation, and sees issues to resolution.Provides guidance and support to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals.Establish best practices including quality assurance, automation, code reviews, quality checks, and data alarms. Roll up sleeves when needed to write or review code, or create data visualizations for our stakeholders.Foster an environment for continued team exploration and learning.Minimum Requirements
10+ years of experience working in sales analytics, marketing, or other related analytics fields. Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations.5+ years working with customer data in customer analytics, customer insights, sales analytics, customer lifecycle marketing, or related field/function. Demonstrated ability to deeply analyze customer data to inform marketing and sales decisions.3-5 years' experience managing data analysts, business intelligence engineers, data scientists, or data engineers with a proven track record of building high-performing analytics and data science teams and developing successful analysts/data scientists.Deep understanding of customer support, sales enablement (Salesforce reporting, lead enrichment, propensity modeling, quota setting, etc.) and user behavior data analysis is a plus (Salesforce, Google Analytics, Adobe Analytics, etc.).
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Drive strategic thinking to optimize Sales Team efforts (inclusive of experimentation), 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 data analysts and partners effectively with data engineers and data scientists; prioritizes the team’s work to maximize effectiveness and impact both at the individual and team level.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.Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning.Collects, analyzes, and models available data to advance the customer/analytics space and build a broad understanding of the Mailchimp customers and relevant customer segments.Pursues data quality, troubleshoots data validation, and sees issues to resolution.Provides guidance and support to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals.Establish best practices including quality assurance, automation, code reviews, quality checks, and data alarms. Roll up sleeves when needed to write or review code, or create data visualizations for our stakeholders.Foster an environment for continued team exploration and learning.Minimum Requirements
10+ years of experience working in sales analytics, marketing, or other related analytics fields. Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations.5+ years working with customer data in customer analytics, customer insights, sales analytics, customer lifecycle marketing, or related field/function. Demonstrated ability to deeply analyze customer data to inform marketing and sales decisions.3-5 years' experience managing data analysts, business intelligence engineers, data scientists, or data engineers with a proven track record of building high-performing analytics and data science teams and developing successful analysts/data scientists.Deep understanding of customer support, sales enablement (Salesforce reporting, lead enrichment, propensity modeling, quota setting, etc.) and user behavior data analysis is a plus (Salesforce, Google Analytics, Adobe Analytics, etc.).
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