Marketing Analyst II

Design and maintain scalable data pipelines and data models to support marketing KPIs and analytics use cases.

Implement data quality controls and automate routine data operations to ensure data accuracy and scalability.

Collaborate cross-functionally to deliver report-ready datasets and support dashboard and KPI monitoring development.

2-3 years of professional experience using Databricks (Databricks SQL/Spark workflows), advanced SQL, and Python or similar tools in marketing analytics or related domain.

Experience with modern data engineering practices including data modeling, transformation frameworks, testing/monitoring, version control, and operationalization.

Proficiency with dashboard/reporting tools such as Power BI and ability to structure data for reporting consumption.

Experience in marketing analytics domains like funnel performance, campaign measurement, and attribution metrics.

Comfortable working with modern data platforms including Lakehouse architectures and implementing governance and secure access patterns.

Able to optimize data models and workflows for performance and scalability in a marketing data context.

Experienced in collaborative environments focusing on delivering data assets that enable strategic marketing insights and analytics.