Senior Analytics Engineer
Core
Structuring, modeling, and valorizing data used by business teams to ensure reliable, consistent, and easily usable data availability.
Role type
Senior Analytics Engineer
Builds
Data models, ELT transformations, business indicators, and semantic models for activity monitoring.
Domain
Data Engineering and Business Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, data modeling, ELT tools (dbt), data quality assurance, semantic modeling, performance optimization, data governance
Preferred skills
Python, cloud platforms (AWS/Azure/GCP), BI tools (Looker/Tableau/Power BI), Git, Airflow, Docker, agile collaboration
Technologies
SQL, dbt, Snowflake, BigQuery, Databricks, Python, Looker, Tableau, Power BI, Git, Airflow, Docker, AWS, Azure, GCP
Responsibilities
Design and maintain data models for analytical use; develop and optimize data transformations using ELT tools; ensure data quality, consistency, and documentation; build business indicators and semantic models; collaborate with Product, Data Engineering, and Business teams; optimize data model and query performance; participate in data governance and best practices improvement; support teams in using data and decision-making tools.
Seniority
Senior, hands-on IC
