Richard Railton
Analytics Engineer specializing in building scalable, production-grade data products with dbt. Combines analytical depth with engineering rigor to design reliable data architectures, automated observability, and self-service reporting that drive revenue growth and product innovation.
About
I'm a Data Analyst and Analytics Engineer based in the San Francisco Bay Area with experience spanning fintech, healthcare, and retail. I specialize in turning complex, messy data into clear decisions — whether that's building scalable dbt projects, creating BI dashboards, or running statistical analysis.
I hold an Advanced dbt Certification from Uplimit, a Certificate in Data Science and Data Analytics from UCSC Extension, and a Master of Arts in Economics and Geography from the University of Aberdeen.
Experience
Senior Data Analyst
Anatomy Financial, San Mateo, CA
- — Led the end-to-end data analytics lifecycle, from data architecture and pipeline development to modeling and reporting, to inform product strategy and business decisions
- — Drove a 7% increase in revenue by developing a new billing model that identified and corrected inaccuracies in existing logic
- — Improved product reliability by creating observability models and automated alerting systems that proactively identify document pipeline issues, leading to a significant reduction in troubleshooting time
- — Designed and implemented a scalable dbt Core project from the ground up, delivering trusted, well-tested data products that power automated enterprise reporting and support rapid product and customer growth
Data Analyst III
Maven Clinic, New York, NY
- — Influenced product roadmap and contributed to millions of dollars in prospective annual bookings by providing data-driven insights on employee/clinic coverage and geographic analysis
- — Utilized K-means clustering in Python to identify optimal provider locations, directly supporting successful contract negotiations for one of Maven's largest clients
- — Scaled automated reporting for thousands of clients by building new data models, consolidating metrics, and implementing comprehensive testing in dbt
- — Increased revenue by overhauling the logic for enrollment verification, which captured 3x more errors and reduced lost revenue
Data Analyst
Costa Express, Loudwater, England
- — Reduced operational downtime by up to 60% through in-depth analysis of alarm data, providing actionable insights for operators
- — Supported experimental promotions by identifying control groups and analyzing the impact on sales to inform future marketing campaigns
- — Developed and implemented new marketing metrics and reporting to track campaign performance, improving campaign management and visibility
- — Led the development of a bespoke reporting platform, from business case and requirements gathering to user acceptance testing and training
Skills
Projects
Divvy Bikeshare Analysis
Interactive Power BI dashboard analyzing Divvy bikeshare usage patterns across Chicago.
Read more →Predicting Road Accident Severity
Machine learning group project in Python predicting accident severity with KNN, Random Forest, SVM, and XGBoost.
View on GitHub →US Wildfires and Drought
Exploratory data analysis of US wildfires and drought using R and linear regression.
View on GitHub →Advanced dbt — Bingeflix
Uplimit Advanced dbt course covering reusable macros, incremental models, unit testing, cost monitoring, and DAG refactoring on Snowflake.
View on GitHub →Contributions
230 contributions in the last year