Business Intelligence Engineer - Business Intelligence Engineer III

Ampcus Inc. • Seattle, WA

11h • Onsite

About The Position

Hard work, a passion for innovation, and zealous advocacy for the needs of our customers have made 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. 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.

Requirements

• 7 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
• Excellent communication skills, equally adept at working with engineers as well as business leaders

Nice To Haves

• SAS experience a plus
• Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior