Lucas Schneider

Led the analytics function as sole Analytics Engineer, owning data architecture, modeling, governance, and reporting across Finance, Operations, Product, and Marketing to improve data visibility and operational efficiency.

Executed a modern data stack migration for a pharmaceutical client and modernized Petz’s analytics to dbt + Snowflake, reducing model processing time by 70% and increasing data reliability.

Implemented ELT with Fivetran, BigQuery and dbt and optimized reporting latency for Looker Studio, reducing data loading time from ~30–60s to ~1s and delivering final models via SQL and Python analysis.

Developed analyses to identify active students and monthly revenue using Python and Pandas, defined business rules with management, and built visualizations and dashboards to surface platform performance insights.

Managed digital marketing campaigns across sectors, developed strategies, created performance dashboards, and delivered reporting to monitor and optimize campaign outcomes.

Co-founded the analytics function, collected and stored client data, and managed Power BI dashboards for ~20 clients across B2C, B2B and e-commerce groups while improving project workflow with Kanban.

Supported accounting operations by recording entries, organizing documents, and reconciling transactions using Excel, gaining practical knowledge of accounting practices and transaction analysis.

Pursuing studies in Big Data and Analytics with coursework focused on data engineering, analytics, and related technologies.

Completed a Business Administration program covering management, finance, and organizational topics.

Attended Computer Engineering coursework during 2016.