Real Example Cases

Digital Analytics Implementations

Translating business intelligence requirements into technical requirements to implement Adobe Analytics through Adobe Launch for several web and app properties, working as a bridge between business and tech teams.
Leading a team of analytics engineers and data analysts to translate business intelligence requirements into a data model, to further implement the required data collection with GA4 through GTM and implement data visualization with Looker Studio.
Data layer design (Google, Adobe or agnostic)
GDPR compliance through Google consent mode and custom cookie management solutions such as Cookie Pro
Complex custom code tagging (JavaScript)
GA4/GA – Adobe Analytics/Launch migrations
Custom solutioning for the integration of agnostic data layers with GTM/Launch
Marketing channel logic design and implementation
Complex Looker Studio visualization requirements through data processing and blending

Tech team leader for the implementation of Exponea CDP accross several brands with the goal of creating a single customer view and centralizing behavioral data for automated marketing activation. Technologies integrated include GTM, Hybris, email automation tools, Meta, POS systems, Google Cloud Platform and APIs.
XDM Schema design and integration of Adobe Analytics into Adobe Experience Platform CDP
Auditing web analytics implementations to reassess the GA4 data model and tagging structure in order to reassess, rebuild and optimize Google Ads and Meta campaigns.
Pixel and conversion tag implementations for digital marketing campaigns across several platforms.
Implementing a cross-site GA4 data model and GTM tagging structure to standarize data collection and facilitate data analysis and activation accross several assets.
Collecting and reshaping raw GA4 data in Big Query to cross it with other sources such as Salesforce or POS data with the goal of creating a single, cross asset customer view.
Participation in the process of reshaping Adobe Analytics raw data with SQL by conceptualizing complex data definitions for custom visualization requirements in Power BI.