I build the analytics layer that lets organisations stop guessing. That means data models, tracking instrumentation, KPI frameworks, dashboards, and the experimentation culture to make them useful.
Most recently at Telus Digital as an Analytics Architect across enterprise clients — consumer electronics, B2B SaaS, e-commerce, travel. Before that, five years at Stanley Steemer building marketing analytics from scratch across 280 franchise locations: no prior capability, full BigQuery-backed BI layer on the way out.
Currently based in Amsterdam. EU work authorisation. Available immediately.
Public work evidencing the technical skills that don't fit on a CV.
Staging → intermediate → mart dbt models on public taxi trip data. Tests, documentation, and lineage on every model. The question it answers: which pickup zones are underserved relative to demand, and how does that shift by time of day?
GitHub — coming soonLast-click, first-click, linear, time-decay, and data-driven attribution compared on the same dataset. Built around the question: what changes when you stop crediting the last touchpoint?
GitHub — coming soonCohort retention curves, churn modelling, and LTV estimation on a public SaaS or e-commerce dataset. Visualised in Python with a business-facing write-up.
GitHub — coming soonA reusable SDR and tracking plan for GA4 implementations: event taxonomy, naming conventions, parameter structure, and QA checklist. The methodology before the code.
GitHub — coming soon"Frederic's abilities with analytics are so good, they seem like dark magic. The insights he extracts from data are fantastic, the testing and business strategies he devises are best-in-class, and he could present complex findings to a 3-year-old. Having one Frederic at your company is like having 2 regular analysts."
"He helps me with data issues I didn't even know I had. He is especially quick to link marketing with IT and all of the data in between."
Open to senior data analyst, analytics architect, and analytics engineering roles in Amsterdam.