Senior Analytics Engineer
Medix, New York, NY, United States
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.
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.