Amazon.com Services LLC
Business Intelligence, Business Intel Engineer, consumer engagement
BusinessIntelligenceEngineer,CustomerBehaviorAnalytics
Neural analysis suggests this role is
optimal for Senior candidates.
“Business Intelligence Engineer, Customer Behavior Analytics at Amazon.com Services LLC. Skills: Customer behavior analytics, Business intelligence, Data engineering, Machine learning. Explain customer visit data. Predict customer visit data”
What You'll Achieve.
Optimize customer experience
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
10+ years professional experience, 5+ years SQL experience, 1+ years SQL, ETL or Oracle experience, 1+ years processing large datasets, 1+ years performing statistical analysis, 1+ years developing automated reporting, Experience programming data extraction, Experience with experiment design, Experience with AWS technologies, Experience with scripting for automation, Advanced SQL skills, Experience with information retrieval, Experience with data science, Experience with machine learning, Experience with data mining
Nice to Have
Experience working with business stakeholders, Experience managing business results, Experience communicating results to leadership, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities
What You'll Do.
Explain customer visit data
Predict customer visit data
Model customer incentives
Test customer incentives
Understand customer choices
Predict customer interaction
Optimize customer experience
Measure customer experience
Develop business reporting
Develop business analysis
How You'll Work.
Team & Collaboration
Analytics team; Economists; Science community; Data engineers; Software engineers; Business stakeholders
Communication Scope
Communicate results
Full Job Description
We are working back from a mission of explaining and predicting one of the most important inputs to the Amazon business - customer visit data. We are working to model and test our assumptions about what are the customer incentives and what influences customers to chose visiting Amazon. Ultimately we want to understand and predict how many of our customers will interact with Amazon and we want to identify insights that optimize the customer experience. This is a role in an analytics team of economists, science, business intelligence and data engineering bridging between observational measurement and theoretical models. About the team You will be empowered by a large team of experienced software and data engineers that are aligned on the same mission - to measure and explain our customer experience. We lean into the exceptionally talented Economist and Science community in CBA and Stores for consultation, guidance and peer reviews. Our large analytics team is empowered to move fast and gather the data we need to achieve our mission. Our parent organization owns end-to-end data collection systems (Clickstream), experimentation (Weblab) and customer value forecasting (GCCP). We are working across organizational boundaries to identify relevant datasets and are able to curate the vast amount of data we have into meaningful business reporting and analysis. Basic Qualifications: - 10+ years of professional or military experience - 5+ years of SQL experience - 1+ years of SQL, ETL or Oracle experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - 1+ years of developing automated reporting experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and
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