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Manager 2, Data Science

Category Data Location Atlanta, Georgia; New York, New York Job ID 2025-68144
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Our Data science team is a growing team here at Mailchimp to support our strategic initiatives across Marketing science and Paid media analytics as Mailchimp continues to evolve. We are seeking a motivated and energetic Marketing science leader scientist to support the growth of the analytics function of this team.

This is a team leader role that will help drive the data and analytics vision for Mailchimp paid marketing channels, which are critical in bringing new users and revenue to the business.  In this role, you will lead a team of analysts responsible for the measurement, insights, and optimization efforts across paid media channels.  You will partner with stakeholders across the company -- marketing, finance, product, legal, and others -- to support strategic and tactical marketing science requests and build cross-functional analyses, reporting, experimentation, and modeling to arm Mailchimp with insights that will help steer our future.

Responsibilities

  • Lead and develop a world class team of marketing analysts, coaching technical and strategic skill sets
  • Drive the data and analytics strategic vision across all paid marketing and channel measurement roadmaps to accelerate customer acquisition and revenue growth
  • Define the paid marketing analytics team charter and own the prioritization of work against that charter to maximize impact
  • Be a central analytics leader across cross-functional teams, driving analytics thought leadership and supporting business leaders in making key marketing decisions
  • Work with analytics partners to grow the maturity and adoption of our marketing analytics capabilities
  • Oversee the delivery of paid marketing measurement, experimentation, data enablement, dashboarding and reporting needs to marketing partners
  • Maintain and improve marketing data infrastructure, working with data engineers to collect critical data from upstream sources, improve the durability of data pipelines, and construct data models to enable analytics use cases.

Qualifications

  • 7+ years of experience driving data science and analytical solutions and roadmaps for marketing organizations
  • 3+ years experience leading teams of data scientists and data analysts with a strong ability to coach and develop others
  • Domain expertise in paid media channels and marketing technology stacks
  • Proven ability to organize and lead cross-functional analytical projects end-to-end
  • Strong data storytelling skills and ability to influence senior leaders
  • Deep understanding of marketing tracking, tag implementation, attribution, and marketing models
  • Prior hands-on experience in advanced statistical analysis and controlled experimentation
  • Strong practical ability to read and write SQL required, experience with data and analytics solutions on cloud platforms including AWS, GCP and big data technologies preferred
  • Knowledge of web analytics and user behavior analysis is a plus (Google Analytics, Adobe Analytics, etc.)
  • Experience with Causal Inference methods is a big plus
  • Bachelor’s degree in a quantitative field or business/economics, advanced degree preferred
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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $183,000 - $247,500. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

We use the technology for good to help small businesses and consumers.

Ercan Kaynakca Staff Data Crypto Analyst

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