Requirements
You have gained experience with data, and various skills related to Python or SQL during your studies, before starting your career, or in a previous job.
It is mandatory that you hold the following certification:
Google Cloud Professional
Machine Learning Engineer
A completed degree that included Data Science and/or Marketing Analytics is an advantage. Preferred Skills
Experience with animation or motion graphics (After Effects or similar).
Familiarity with feed-based advertising and automation tools.
Knowledge of HTML/CSS is a plus.
Interest in AI-assisted design tools and workflow automation.
Key Responsibilities
Creating valid datasets, data flows, (client-specific) connections, and tables.
Implementing and managing recommended measurements, data streams & optimisations using mainly Python and SQL.
Performing periodic and ad hoc data analyses in big data.
Identifying and proactively communicating opportunities for optimisation, conversion, segmentation, or automation for our clients.
Devising and optimising data streams using cloud infrastructures.
Supervising implementations of analysis tools and developing new dashboards, reports, and tools to visualise data attractively.
Working with cloud platforms (GCP, AWS and/or Azure).
As well as with Dataflow/Apache Beam and Composer/Airflow, ETL or ELT, and CI/CD principles.
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