Business Intelligence Engineer

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Business Intelligence Engineer

Location(s): Seattle, WA

Job Description:

• Hard work, a passion for innovation, and zealous advocacy for the needs of our customers have made us 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.
• Understanding customer behavior is paramount to our success in providing customers with convenient, fast free shipping in the US and international markets.
• As a Business Intelligence Engineer with us, 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 organization's 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.

• 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.

• 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.