TOP 3 SKILLS:

• SQL, Tableau, and Quicksight Dashboarding
• Large Data SetsAnalytical Mindset
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  Job Description:
  Hard work, a passion for innovation, and zealous advocacy for the needs of our customers have made our client Earth’s most customer-centric company. This would not be possible without the tools and expertise we use to understand customer behavior. The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science. We provide the key insight into customer behavior necessary to guide the evolution of business strategy.
  Understanding customer behavior is paramount to our success in providing customers with convenient, fast free shipping in the US and international markets. As a Senior Business Intelligence Engineer, you will work with our world-class marketing and technology teams to ensure that we continue to delight our customers. You will meet with business owners to formulate key questions, leverage vast Data Warehouse to extract and analyze relevant data, and present your findings and recommendations to management in a way that is actionable.
  If you are motivated to serve the needs of our customers, you will also be able to satisfy your curiosity working with one of the world’s largest datasets. We seek candidates who are passionate about data analysis and data-driven decision making, uncompromisingly detail oriented, smart, efficient, and driven to help our business succeed by providing key insights that translate into action.

Key Responsibilities:

• Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention
• Statistical testing of A/B and multivariate experiments
• Design, build and maintain metrics and reports on program health
• Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis
• Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
• Participate in strategic and tactical planning discussions

Job Qualifications:

• 3-6 years of experience working with large-scale complex datasets
• Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
• Strong working knowledge of SQL
• Background (academic or professional) in statistics, programming, and marketing
• SAS experience a plus
• Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.
• Excellent communication skills, equally adept at working with engineers as well as business leaders

Required Skills:

• Looking for someone with strong experience in SQL, Tableau and Quicksight Dashboarding
• Designing building and maintaining metric of program health and experience working with large scale datasets

Years of Experience: 3-6
Degree or Certification:Bachelor s degree in data science
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BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.

• Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention
• Statistical testing of A/B and multivariate experiments
• Design, build and maintain metrics and reports on program health
• Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis
• Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base
• Participate in strategic and tactical planning discussion