Lorraine is an analytics engineering consultant focused on building analysis-ready data models that enable clear, timely business decision-making. In her current role, she designs and maintains schemas within a medallion architecture, delivering Tableau-ready datasets with consistent metric definitions and reliable downstream analysis. She works closely with data analysts to translate reporting and analytical needs into well-structured tables and partners with data engineering teams to support efficient, scalable pipelines aligned with CI/CD, data governance standards, and modern engineering best practices.
Previously, Lorraine worked as an analytics consultant delivering end-to-end reporting solutions across HR, people analytics, and risk analysis. She modelled and standardized Workday-sourced data, automated data transformations, and built curated Tableau reports supporting employee relations, compensation, HR operations, and risk-related metrics. Her work reduced manual reporting effort, shortened time to insight, and improved data consistency and metric reliability across teams.
In addition to technical delivery, Lorraine prioritizes sustainability and enablement. She has authored comprehensive analytics documentation covering data sources, transformations, calculations, and reporting logic, and has led analyst enablement through training and reusable best-practice guides to increase self-service adoption. She also writes technical blog posts on analytics engineering topics, including data warehousing fundamentals, modern data pipelines, and transformation best practices.
Originally from South Africa and now based in New York City, Lorraine brings an adaptable, people-centred approach shaped by experience across engineering, manufacturing, childcare, and hospitality. Outside of work, she enjoys personal data projects, scuba diving, snowboarding, and reading.