Manager 2, Data Science

  • Atlanta, GA
  • Posted 60+ days ago | Updated 6 hours ago

Overview

On Site
Full Time

Skills

Data Science
Optimization
Media
Finance
Legal
Science
Functional Analysis
Modeling
ARM
MailChimp
Coaching
Roadmaps
Customer Acquisition
Revenue Growth
Thought Leadership
Marketing Analytics
Management
Reporting
Marketing
Analytics
Use Cases

Job Details

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.