Sr. Data Analyst / Data Scientist

Boston , MA · Job # 7940BK

Free Breakfast / Lunch / Dinner / Company Gym! 

You are a Sr. Data Analyst / Data Scientist who leads efforts to solve some of the most analytically complex questions that a fast-growing ecommerce company faces. 

You have a combination of strong data analysis, data mining, business analytics and statistical skills. 

Additionally, you possess a fine understanding of business strategy and experience in the ecommerce industry is helpful. 

You are a self-directed team player who is passionate about “figuring out” solutions to problems or methodology for improved deliverables. 

This is what you will be doing:

  • Translate complex analytics tasks into concise and easily consumable outputs to help marketing stakeholders make data driven decisions and quantify marketing campaigns/incentives for payback and determine ROI
  • Design and test marketing experiments in collaboration with marketing and technology teams
  • Conduct statistical analysis and test hypothesis around business questions
  • Determine and recommend best customer segments for targeting
  • Forecast performance measures for customer cohorts that feed into financial planning
  • Contribute in creating business performance review presentations for executives
  • Design and implement report/dashboards for the consumption of business stakeholders
  • Develop consistent approaches and methodologies, automate repeatable tasks and drive process efficiencies 

Requirements:

  • You’re a wizard at database querying using SQL (or similar query language); working knowledge of BI/visualization tools is (Tableau, Spotfire, Qlickview, etc.) is a plus
  • Working knowledge of databases and data warehousing techniques
  • Champion of Data mining and predictive modeling techniques and mature skill level in using statistical packages such as R/Python
  • Good command of Excel, including pivot tables, and PowerPoint slide creation
  • Comfortable presenting insights from quantitative analysis and models to a non-technical audience
  • Educational major in mathematics, statistics, marketing, business analytics, or economics
  • 3+ years’ experience in data analysis in consumer/retail marketing analytics
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