Amazon

Business Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Engineer on a contract assignment lasting over 6 months, with a pay rate of $57.57 - $65.25/hour. Key skills include SQL, data mining, and statistics; a graduate degree is highly desirable.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
520
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πŸ—“οΈ - Date
May 14, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Seattle, WA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Statistics #SQL (Structured Query Language) #Programming #Datasets #SAS #Computer Science #Data Analysis #Data Warehouse #Strategy #Data Mining #Base #BI (Business Intelligence)
Role description
Please note that this posting is for a contract assignment and is not a full-time employment opportunity with Amazon. Candidates selected for roles will be employed as contract workers through Amazon’s approved 3rd party Direct Source provider for the duration of the specified project and will not be an employee of Amazon. Hard work, a passion for innovation, and zealous advocacy for the needs of our customers have made Amazon 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. At Amazon Prime, 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 with Amazon Prime, 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 Amazon'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. Key Responsibilities: β€’ Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention β€’ Statistical testing of A/B and multivariate experiments β€’ Design, build and maintain metrics and reports on program health β€’ 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 β€’ Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base β€’ Participate in strategic and tactical planning discussions Job Qualifications: β€’ 7+ years of experience working with large-scale complex datasets β€’ Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions β€’ Strong working knowledge of SQL β€’ Background (academic or professional) in statistics, programming, and marketing β€’ SAS experience a plus β€’ Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable. β€’ Excellent communication skills, equally adept at working with engineers as well as business leaders This posting is for a contract assignment with Tundra Technical Solutions to provide services to Amazon. The pay range that Tundra in good faith reasonably expects to pay for this position is $57.57/hour - $65.25/hour.