Senior Analytics Engineer

Senior Analytics Engineer Responsibilities:

• Establish core data infrastructure for a new marketing project, transforming raw event data into structured datasets.
• Design and develop data entities to facilitate measurement, audience segmentation, and marketing activations.
• Create automated, AI-assisted workflows to track campaign health, generate insights, and build dashboards.
• Build reliable data pipelines using tools like dbt, Airflow, ensuring high quality and observability.
• Develop self-service analytics tools for marketing and content teams to explore artist data and enhance decision-making.

Senior Analytics Engineer Qualifications:

• Over 5 years of experience in analytics engineering, data engineering, or business intelligence roles.
• Proficiency with dbt, building modular transformations and managing dependencies.
• Experience with large datasets, SQL, and cloud data warehouses such as BigQuery, Snowflake, or Redshift.
• Skilled in designing and supporting automated analytics workflows using orchestration tools like Airflow.
• Ability to build dashboards in BI tools like Looker or Tableau and translate business needs into scalable data models.