About the role:
Work with large and diverse datasets to profile, clean, and transform data for analysis.
Build and refine data pipelines, ensuring data is structured and ready for analytical use.
Use SQL and Python for querying, transforming, and analyzing data from various sources.
Perform data profiling to understand data characteristics and uncover patterns and anomalies.
Collaborate with stakeholders to understand business metrics and ensure data aligns with key business objectives.
Support the development of customer 360° views by integrating data from various sources and creating relevant attributes.
Continuously explore and ask questions about the data to uncover new insights and drive better decision-making.
Maintain clear documentation of data transformation processes and methodologies.
About You:
Proficiency in SQL for complex data queries and data transformations.
Strong experience with Python for data manipulation, analysis, and pipeline development.
Hands-on experience working with large datasets, data profiling, and transforming raw data into structured formats.
Familiarity with Databricks or other big data platforms is a plus.
Excellent problem-solving skills with a curiosity-driven approach to exploring data.
Ability to think critically and connect data insights to business metrics.
Comfortable working with ambiguity and incomplete data, and can proactively seek solutions.
Knowledge of data science concepts (e.g., basic statistics, predictive modeling, recommendation systems).
Familiarity with cloud-based data infrastructure (e.g., AWS, Azure) is a plus.
Understanding of Ad Tech, Martech and customer analytics, especially in a Customer360 context is a plus.
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