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Lead Data Analyst
Ref No.: 17-05910
Location: New York, New York
Position Type:Direct Placement
Start Date: 06/29/2017
Title: Lead Data Analyst
Location: NYC
Duration: Permanent
Salary: DOE
We are looking to add a Lead to our Data and Analytics team. The Lead will build our Site Optimization and Analytics subteam and work with members of the Tech and Marketing teams to define the digital product analytics strategy. We are a data driven company, so there are no shortage of interesting questions to answer!

We're looking for someone to be the analytical firepower that drives our Tech and Marketing teams, specifically:
  • Lead and build a best in class testing and optimization function
  • Make strategy recommendations and drive significant business impact through advanced site analytics and website optimization
  • Build comprehensive testing frameworks and champion a testing culture that rapidly tests, measures and iterates. Design and run A/B and multivariate testing initiatives for site design and marketing campaigns.
  • Own and be the resident expert in our event tracking, web analytics and testing tools (we use Optimizely, Heap and Google Analytics).
  • Conduct detailed customer path analysis to identify areas for improvement
  • Create output that tells the story behind the data to non-technical team members so they can execute more effectively
  • 5+ years of experience in data analytics with an emphasize on web analytics and site optimization, preferably at an e-commerce brand with a high volume of complex data
  • Experience implementing advanced event tracking and working with clickstream data
  • Ability to write complex SQL queries
  • Fluency with site analytics tools (e.g. Google Analytics, Heap) and A/B testing tools (e.g., Optimizely)
  • Experience with scripting languages such as Python (preferred) or R. Solid understanding of open source data mining / data visualization software packages (e.g., pandas, scikit-learn, matplotlib) a plus.
  • Working experience applying statistics and machine learning research and techniques to real-world data
  • Highly motivated self-starter. Flexible, adaptable, able to work in an entrepreneurial environment
If interested and qualified please send updated resume to Thanks, I will look forward to hearing from you!
Best Regards,