Kate Alice Moore

• Designs and implements relational data models, emphasizing model scalability, query performance, and stakeholder-friendly data source documentation.
• Experienced in orchestrated production data workflows using Apache Airflow DAGs, with solid foundations in job scheduling, dependency management, and data observability strategies.
• Significant experience in large-scale data analysis, including messy upstream eventing data and user engagement metrics across onsite/email components and the BookBub mobile application. Other responsibilities include analyses related to our in-house ads network and marketing acquisition, in addition to regular business-level financial and performance modeling.
• Collaborates cross-functionally with all business units and core engineering teams, participating in product pitching sessions and guiding decisionmaking with a deep knowledge of product history, user base preferences, and engagement patterns.
• Designs and evaluates statistical A/B experiments to test consumer response to product changes and marketing rollouts.
• Administers the enterprise Looker instance, maintains the LookML repo to support data self-service, and builds reporting artifacts as needed.

Key Skills: Snowflake, SQL/Python, Apache Airflow, Looker

• Analyzed trends in public datasets to support city planning initiatives and policy development.
• Conducted public-outreach research to inform decision-making on community programs and resource allocation.
• For more details, please see the City of Boston Analytics Team website: https://www.boston.gov/departments/analytics-team.

Key Skills: ArcGIS, SQL/Python, Tableau, dbt