Marketing Analytics Manager

Location: New York City, NY

Type: Full Time

Min. Experience: Experienced

The Marketing Analytics Manager is responsible for supporting both Zola’s Acquisition and CRM efforts. This role will focus on reporting, audience segmentation, campaign and ad hoc analyses. 

This role requires a demonstrated record of excellent analytical rigor and driving actionable insights. The ideal candidate will be familiar with targeted direct marketing principles in an ecommerce environment


  • Create, improve and maintain reports, data models, and dashboards for key stakeholders Includes setting appropriate KPIs and building infrastructure to automate or speed processes
  • Utilize historical data and ongoing analysis to provide data driven insights and inform strategic business decisions
  • Tie Acquisition and CRM KPIs to tell a holistic Zola user story
  • Manage Monthly Forecast process for Marketing
  • Partner with Marketing team to design and measure valid and impactful tests; share best practices and results with cross functional partners (e.g. Product, Growth teams)
  • Create audience communication strategy and target audiences for all tests and customer communications, including supporting campaign execution (e.g. uploading audiences, etc.)
  • Act as Looker power user and stakeholder with Data Warehouse team for Marketing
  • Liaise with external vendors and agencies to ingest new data and help structure testing
  • Assist team members with data gathering and crafting stories based on data


  • 3+ years of online, e-commerce, or performance marketing analytics

  • Minimum Bachelor’s degree in Finance, Mathematics, Computer Science, Statistics, Economics or a related field (advanced degree a plus)

  • High level of critical thinking with ability to synthesize data to drive actionable insights

  • Proficiency in SQL and Excel required; experience with Looker and R (or comparable tools) a plus

  • Experience with statistical analysis, confidence intervals, hypothesis testing as well as regression analysis and probabilistic modeling

  • Proven ability to detect data integrity issues, perform root cause analysis and communicate the issues to cross functional audiences

  • Excellent communication skills, both verbal and through PPT / Excel

  • Solid team player who can collaborate cross-functionally as well as with outside vendors

  • Naturally intellectually curious with an overall eagerness to learn in a fast-paced startup environment


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