Analytics Engineering Consulting
I help companies build analytics infrastructure that produces trustworthy data. From data layer architecture to BigQuery pipelines, I work across the full stack — not just the tag manager.
What I do
Analytics Architecture
Data layer design, GTM and server-side GTM setup, GA4 and Adobe Analytics implementation, consent mode, cross-domain tracking. The foundation that everything else depends on.
Data Pipeline Engineering
BigQuery, Dataform and dbt, scheduled queries, data quality monitoring, anomaly detection. Turning raw event data into reliable reporting tables.
Multi-market & Enterprise
Auditing and standardising analytics implementations across multiple markets, platforms, and tag management systems. I've done this across 8 European markets for a major retailer.
How I work
Analytics Audit
from €3,000Review of your current implementation: data layer, tag management, GA4 or Adobe configuration, BigQuery export, data quality. Deliverable is a findings document with a prioritised roadmap.
Architecture & Implementation
€5,000 – €15,000End-to-end design and build: data layer specification, GTM and sGTM setup, BigQuery pipeline, Dataform transformations, documentation. For new builds or major restructures. Scope determines cost.
Advisory Retainer
from €1,500/monthOngoing support for internal teams: architecture decisions, code review, troubleshooting, knowledge transfer. Monthly engagement.
Work samples
Rebuilding analytics for a multi-domain tourism SPA
A large-sized Italian tourism operator running hop-on-hop-off bus tours and experience bookings across three domains came to me with a common problem: their advertising platforms were not receiving reliable conversion data. Meta, LinkedIn, Google Ads, and TikTok dashboards told conflicting stories. Attribution was unreliable. Nobody trusted the numbers. This is the story of how I rebuilt their analytics infrastructure from the ground up.
Read article →Auditing Adobe Analytics data layers across 8 European markets: what I found
I audited the Adobe Analytics data layer implementation across 8 European websites of a major grocery retailer. Two different data layer architectures, inconsistent page type taxonomies, and diverging product data. Here is what a real-world multi-market audit looks like and what you can learn from it.
Read article →Interested in working together?
Describe your situation and I'll tell you honestly whether I can help.
consulting@paolobietolini.com