Better World Books is seeking a Senior Data Engineer & Analyst to join the Business Analytics team in Mishawaka, Indiana (hybrid eligible). The role sits at the intersection of data engineering, analytics, and applied machine learning and is responsible for moving key ML initiatives from development into production while building the data infrastructure that supports growth. Primary responsibilities include productionizing inventory acceptance models, advancing dynamic pricing, and creating robust data pipelines for pricing, inventory, marketing attribution, and operations reporting. This is a senior individual contributor role with significant ownership and requires strong technical depth across the data stack, the ability to work in ambiguity, and disciplined use of AI coding tools while maintaining engineering standards. The position reports to the VP of Business Analytics. Responsibilities include shepherding the inventory acceptance model from testing to production with monitoring and iteration; accelerating dynamic pricing using historical data, sell-through data, and external signals; integrating vector embeddings for similarity-based recommendations; designing model monitoring frameworks; collaborating on architecture, feature engineering, and model development decisions; building and maintaining data pipelines; developing ETL/ELT workflows; supporting Power BI reporting; ensuring data quality and governance; delivering analyses that inform marketplace pricing strategy, discount optimization, customer lifetime value, acquisition cost by channel, and wholesale profit

Better World Books is seeking a Senior Data Engineer & Analyst to join the Business Analytics team in Mishawaka, Indiana (hybrid eligible). The role sits at the intersection of data engineering, analytics, and applied machine learning and is responsible for moving key ML initiatives from development into production while building the data infrastructure that supports growth. Primary responsibilities include productionizing inventory acceptance models, advancing dynamic pricing, and creating robust data pipelines for pricing, inventory, marketing attribution, and operations reporting. This is a senior individual contributor role with significant ownership and requires strong technical depth across the data stack, the ability to work in ambiguity, and disciplined use of AI coding tools while maintaining engineering standards. The position reports to the VP of Business Analytics. Responsibilities include shepherding the inventory acceptance model from testing to production with monitoring and iteration; accelerating dynamic pricing using historical data, sell-through data, and external signals; integrating vector embeddings for similarity-based recommendations; designing model monitoring frameworks; collaborating on architecture, feature engineering, and model development decisions; building and maintaining data pipelines; developing ETL/ELT workflows; supporting Power BI reporting; ensuring data quality and governance; delivering analyses that inform marketplace pricing strategy, discount optimization, customer lifetime value, acquisition cost by channel, and wholesale profit