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Senior Manager, Marketing Analytics

New York, NY · Marketing/Public Relations
 What you’ll do
We’re a data-driven team that deeply values our customers. As a Senior Manager, you will partner with our customer-facing teams to leverage data and analytics to bring rich insights about our customers to the forefront. This position requires a driven self-sufficient, self-starter who is able to work with senior leadership comfortably, owns tasks from start to finish, and enjoys working in a dynamic and fast-paced environment. This role will report into the Director, Customer Intelligence.
  • Partner with key stakeholders to develop a deep understanding of our business strategy, business goals, products, and critical business questions to answer.
  • Help define a best in class data architecture that powers a single view of our customer, including documentation, structure, organization, and processes to ensure that complex data points across our activities come together to power a unified customer view.
  • Conduct ongoing and ad-hoc analysis of customer behavior across touchpoints, both at a high level as well as at a granular level, turning them into actionable insights that inform growth of our business. Analysis and activities may include building an in-house marketing attribution approach, conducting marketing channel performance analysis & optimization, synthesizing customer order behavior & making recommendations on how to best improve, building segmentation analyses, developing cohort analyses, building RFM models, and developing customer LTV & churn models.
  • Create and maintain domain-specific analytics dashboards while enabling teams to access data and conduct self-service analysis on a daily basis; This includes owning the measures and dimensions exposed to dashboard users, requesting code reviews from the central data team for these dashboards, and setting up training sessions for business users.
  • Serve as a data steward, partnering with the central data engineering team to provide the requirements and judgement around data quality and data QA.
  • Partner with the broader marketing and product teams to drive the marketing platform tool selection processes as well as drive implementation of the tools.
  • Serve as the day-to-day marketing analytics partner to senior management and the customer teams, using excellent communication and strong presentation skills to gather business requirements and share back analysis in a way that is clear and actionable for employees at all levels.
About you
  • Experience working with an engineering team to implement a scalable data architecture and individual events including defining requirements and QAing implemented events.
  • Highly proficient in SQL, working with structured and unstructured data sets, with the ability to write complex queries against new or unfamiliar data sets.
  • Highly proficient working with data visualization tools and manipulating data sets in Looker and/or Amplitude and other platforms to report on custom metrics.
  • Experience building, implementing, and maintaining data processes and a marketing analytics roadmap.
  • Operational experience with a modern tech stack, including customer data platforms (such as mParticle or Segment), communication platforms (such as Braze or Iterable), deeplinking / attribution tools (such as Branch or AppsFlyer), and data visualization tools (such as Amplitude or Google Analytics).
  • Experienced with offline & online marketing channels, digital marketing analytics, media measurement (including MMM, MTA), incremental lift studies, and marketing A/B testing.
  • Experience designing and analyzing marketing/lifecycle experiments a plus.
  • Experience using Python or R for data analysis a plus.
  • Experience working with consumer technology, preferably with eCommerce.
  • Experience working with a mobile app a strong plus.
  • Comfortable working with cross-functional teams in a fast-paced environment.
  • Comfortable with being scrappy and in an agile environment.
For immediate consideration, please submit a current resume in addition to a detailed cover letter with salary expectations.
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