Zappos.com LLC
Business Intelligence, Business Intel Engineer, subsidiaries
Sr.BusinessIntelligenceEngineer,CustomerData&Analytics,CustomerStrategy
“Sr. Business Intelligence Engineer, Customer Data & Analytics, Customer Strategy at Zappos.com LLC. Skills: Business Intelligence, Data Engineering, Customer Data, Analytics. Own the customer tables and customer attribute store. Define schema design”
Industry & Context.
Identify gaps in our data infrastructure; Identify gaps in the customer data
What They're Looking For.
Must Have
10+ years of professional or military experience, 5+ years of SQL experience, 1+ years of processing large, multi-dimensional datasets, Experience programming to extract, transform and clean large 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, Advanced SQL skills, 3+ years of developing automated reporting experience, Experience working directly with business stakeholders, Experience managing, analyzing and communicating results to senior leadership, Knowledge of data warehousing, Knowledge of data modeling
Nice to Have
Experience with Airflow, Experience with dbt, Experience with AWS Glue, Experience integrating third-party data sources with first-party customer data, Experience with customer segmentation frameworks, Experience with lifecycle analytics, Experience with Python for data analysis, Experience with R for data analysis, Experience with Python for automation, Experience with R for automation, Understanding of data governance, Understanding of data quality monitoring, Understanding of documentation best practices, Experience within e-commerce, Experience within retail, Experience with customer data platforms, Experience with customer attribute stores, Usage of generative AI tools, Willingness to learn effective prompting and evaluation practices, Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences
What You'll Do.
Own the customer tables and customer attribute store
Define data quality standards
Architect scalable data pipelines
Define SLAs for freshness and reliability
Drive the technical roadmap for the customer data
Build reporting tools
Maintain reporting tools
Lead deep dives with Customer Insights Managers
Measure lifecycle and acquisition impact
Surface actionable trends
Own third-party data sources and tooling
Own integrations connecting external data into our customer
Define and execute the strategy for integrating third-party
Operationalize models
Design feature tables
Design pipeline architecture
Design reporting layers
Bring predictive work into production
Drive measurement infrastructure
Build foundations for holdout analysis
Build foundations for test/control reporting
Build foundations for performance tracking
Develop reusable frameworks
Develop self-service tools
Scale the team's analytical capacity
Identify gaps in the customer data
Influence priorities across teams to improve analytical infrastructure
How You'll Work.
Team & Collaboration
Connective tissue between teams; Partner with Data Engineering; Work closely with Customer Insights Managers; Work closely with Data Scientists; Work with Customer Insights; Work with Data Science; Work with Lifecycle Marketing; Work with Finance; Work with Engineering
Communication Scope
Communicating results to senior leadership
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