Will Bradbeer
Senior Manager, Data And Business Insights
Collingwood, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolWill Bradbeer is a data and analytics leader with 11 years of experience building analytics engineering and data science capabilities, currently leading Top Hat’s Data and Business Insights team to improve revenue forecasting and drive data self-service. He specializes in product and revenue analytics, retention, forecasting, and uplift modelling, and has a strong track record owning end-to-end ETL/DBT pipelines and translating complex metrics into trusted dashboards used for planning and compensation. Will has scaled teams and processes—introducing sprint-based planning, data quality testing, and reusable DBT models—that reduced unmapped revenue by over 75% and materially improved financial planning in a seasonal business. Equally comfortable in hands-on engineering (Airflow, Python, BigQuery, DBT) and experimentation design, he brings a pragmatic blend of technical depth and stakeholder management. Raised in rigorous systems-design engineering training at University of Waterloo, he’s quietly built production-grade tooling (from ELT pipelines to recommendation models) that consistently turns messy data into business impact.
11 years of coding experience
7 years of employment as a software developer
Lambton Kingsway J.M.S.Etobicoke C. I.Bachelor of Applied Science (B.A.Sc.) (With Distinction, Dean's Honours List), Honours Systems Design Engineering with an Option in Statistics, 87.07 Cumulative Average, Bachelor of Applied Science (B.A.Sc.) (With Distinction, Dean's Honours List), Honours Systems Design Engineering with an Option in Statistics, 87.07 Cumulative Average at University of Waterloo
English
Github Skills (5)
data-visualization1
rust1
visualization1
file-writing1
data-analysis1
Programming languages (1)
Github contributions (5)
WBradbeer/port-routing
Oct 2016 - Mar 2017
Contributions:73 pushes, 1 branch in 5 months
vtsatskin/lightbox
Jul 2015 - Jul 2015
Contributions:23 commits, 16 pushes in 7 days
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