Alexis Gomart

With 8 years of experience in data analysis, I offer my services as a senior consultant in data analysis and data engineering.

Coming from a business school (HEC), my approach to data is fundamentally business-oriented, supported by the technical knowledge I have acquired during my previous missions and experiences.

I am capable of creating advanced multi-source reporting, following these steps:

- Definition of the project's data architecture, data sources, and their joins

- Creation of data pipelines in the absence of connectors: writing a python script to call the source API, executing this script in a cloud VM, and automated import of results into a BigQuery table via a scheduler

- Data prep, modeling, and data joins in SQL

- Data modeling and calculations in the visualization tool

- Creation of dashboard visuals (PowerBI, Reeport), industrialization, IAM.

I also have a very good understanding of the entire value chain related to web data, including:

- Configuration and implementation of web analytics solutions via a TMS from A to Z

- Tracking and operational management of web data analysis for one or more sites

- Reporting and ad hoc analyses that can be performed via Google Analytics and/or BigQuery.

To summarize, my technical skills are as follows:

- Data visualization: Microsoft PowerBI, Google DataStudio, Reeport

- Data science & data analysis: Dataiku (core designer certification), Google BigQuery, SQL

- Data engineering: GCP (compute engine, cloud functions…), Python, Jenkins

- Web analytics: Google analytics (GAIQ certification), GTM, TagCommander

Some clients I have worked for: Engie, L'Oréal, Transavia, Carrefour, Louis Vuitton, Accor, Figaro Classifieds, B&B Hotels...