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Strong SQL skills with the ability to write complex queries across multiple data sources.
Solid understanding of data relationships integrity and normalization.
Proficiency in Python for data manipulation data wrangling and visualizations (e.g. using pandas matplotlib seaborn etc.).
Experience with data visualization and ability to guide users in interpreting visual data.
Excellent communication skills able to discuss technical topics with both business and technical stakeholders.
Quick learner and self-driven with strong analytical thinking.
Experience building dashboards using Power BI.
Familiarity with DBT (Data Build Tool).
Knowledge or hands-on experience with Google Cloud Platform (GCP).
Exposure to data engineering practices and collaboration with data engineering teams.
Full Time