Business Intelligence Engineer III

Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Data Science, Economics, Computer Science) or related experience.
5+ years of experience of BI data warehouse technical architecture, infrastructure, and ETL.
5+ years of experience with visualization tools like Tableau, Looker, PowerBI, Plotly etc…
5+ years of experience modeling in Big Data environments (EMR, Snowflake, DataBricks, Google Cloud etc…).
3+ years of experience with A/B testing and/or causal inference methodologies, preferably within e-commerce environment.
Strong understanding of statistics (confidence intervals, statistical power, false discovery etc…).
Advanced object-oriented programming in Python.
Advanced knowledge of SQL (complex querying and optimization).
Excellent written and verbal communication skills, with ability to convey complex ideas to non-technical partners.
Familiarity with using LLMs and AI Agents to automate data and analytical workflows.

Lead efforts to establish robust data quality standards, build efficient metric aggregation pipelines (ETL), and develop intuitive, impactful results visualizations.
Establish behavioral tracking and experiment tagging that are optimized for downstream analytics.
Partner with Data Scientists to implement advanced statistical methodologies and integrate them into self-service tooling.
Engage with partners across the business to promote experimentation best practices and drive adoption across the organization.
Design, develop, implement, and analyze high impact A/B tests for high impact initiatives.
Proactively identify business needs across teams and organizations and translate them into robust, scalable, operable solutions that work effectively within the overall platform architecture.

No preferred qualifications provided.