Senior Analytics Engineer
A leading music industry platform is seeking a Senior Analytics Engineer to support our innovative marketing initiatives. This temporary remote role within our region offers a unique opportunity to shape foundational data systems for a large-scale artist support program.
*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.
*Perks and Benefits:*
* Medical, Dental, and Vision Insurance.
* Life Insurance.
* 401(k) Program.
* Commuter Benefit.
* eLearning and Ongoing Training.
* Education Reimbursement.
Eligibility requires working over 30 hours per week on an assignment lasting at least 10 weeks.
If you meet the qualifications and are excited about this opportunity, apply today! Our team will connect with you to discuss next steps, support you through the interview process, and advocate for your success.
apply to this job
*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.
*Perks and Benefits:*
* Medical, Dental, and Vision Insurance.
* Life Insurance.
* 401(k) Program.
* Commuter Benefit.
* eLearning and Ongoing Training.
* Education Reimbursement.
Eligibility requires working over 30 hours per week on an assignment lasting at least 10 weeks.
If you meet the qualifications and are excited about this opportunity, apply today! Our team will connect with you to discuss next steps, support you through the interview process, and advocate for your success.
apply to this job