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Manager | Marketing Analytics

Creata il 18-05-2019
Location Palo Alto

Descrizione

About Houzz
Houzz is the leading home renovation and design platform in the world. We have a highly engaged community of more than 40 million unique monthly users who leverage our technologies to find inspiration for their next home project, connect with over 2.3 million home design and remodeling professionals and discover products in the Houzz Shop. 
About the Role
Houzz is seeking a seasoned Manager of Marketing Analytics to assist our marketing initiatives with data-driven insights. You will work with engineering, marketing, and product teams to analyze the performance of our marketing efforts and user behaviour, as well as to work on forecasting and planning for the business. This work will include performing complex analysis over large data sets.
What You'll Do
  • Define key tracking metrics for marketing performance
  • Leverage data to create insights that will help inform the development of the Houzz platform and understand the customer base
  • Evolve Houzz's understanding of attribution and incrementality
  • Drive the performance of current and new marketing initiatives by leveraging appropriate statistical techniques and infrastructure
  • Build automated reports using internal tools for key metrics
  • Work with data infrastructure and back-end peers to define the data collection needs for future work
  • Work with finance and marketing partners to forecast growth and hit plan milestones
  • At a Minimum, We'd Like You to Have
  • Education in engineering or other quantitative discipline such as statistics 
  • 6+ years experience with analytics for digital marketing functions, 2+ years managing teams in this area
  • Experience analyzing online conversion funnels
  • An excellent ability to distill and communicate findings to senior leadership
  • An ability to write complex SQL queries. You should feel comfortable using aggregate functions and all types of joins
  • Experience with modern distributed data technologies including Hadoop, Hive, Impala, Teradata, etc.
  • Understanding of A/B testing and experiment design
  • Experience with providing thought leadership in analytics and with mentoring junior peers
  • Self-direction, independence and  experience owning initiatives end-to-end
  • Ideally, You'll Also Have
  • An M.S. or Ph.D. degree in Statistics or Data Science
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