Marketing Data Analyst/Data Scientist

NY, NY 10010

Post Date: 04/12/2018 Job ID: 94678 Job Category: Analytics

Title: Marketing Data Analyst/Data Scientist

Company: Global Sleep Company

Location: NY, NY

Compensation: 100k-115k base

JBCconnect is looking to add a Marketing Data Analyst/Data Scientist to our Data and Analytics team. The Marketing Data Analyst/Data Scientist will touch all aspects of the organization to provide actionable, data-driven insights. Specifically, the Senior Analyst will work closely with our Marketing teams to define our customer acquisition and retention strategy. 

  •   Work with analytics leads to build out our marketing attribution capability, with a strong focus on building a best in class multi-touch attribution model 
  •   Lead the effort to build and own the marketing media planning process, drive marketing strategy and budget allocation through complex statistical modeling and analysis
  • Optimize and scale  digital and offline channels (Social, Search, Video, OOH etc), and create models to uncover opportunities to improve customer acquisition efficiency 
  • Partner with cross-functional teams to help develop and execute retention and loyalty strategies. 
  • Carry out customer path analysis and predictive modeling to understand customer segmentation and lifetime value
  • Measure the performance of marketing campaigns, develop KPI reports that tell the story behind the data to non-technical team members and drive key marketing, digital product, and business decisions 

  • Experienced as a Data Analyst or Data Scientist, preferably at an e-commerce brand with a high volume of complex data for 3-5 years 
  • Well versed in multi-touch attribution methodologies and platforms and familiar with offline/digital acquisition channels 
  • Experienced with managing marketing budget allocation across multiple channels. Marketing mix modeling experience a plus
  • Able to write complex SQL queries and expert in Excel. Fluent in Python or R is preferred. Solid understanding of open source data mining/data visualization software packages (e.g. pandas, scikit-learn, matplotlib) a plus 
  • Experienced with applying statistics and machine learning research and techniques to real-world data
  • A strong communicator and a highly motivated self-starter. Flexible, adaptable, and able to work in an entrepreneurial environment

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