Data Analytics Engineer - Music Insights & Infrastructure

New York Times; New York (NY); On-site; USD 108,000 - 162,000; Full time

Job summary

Spotify USA, Inc. in NY, NY seeks a Data Analytics Engineer to support the Content Analytics Personalization & Editorial teams with scalable data infrastructure and reporting capabilities.

The role requires a Bachelor's degree in any field and 2 years of data experience, with proficiency in SQL, Tableau, Looker, and modern data tooling. The ideal candidate will contribute to company-wide reporting, build pipelines for forecasting trends in music consumption, and help ensure data accuracy across

Qualifications

• Bachelor's degree in any field; 2 years of experience in data or related role.
• 2 years of experience with SQL to create data tables for company-wide reports using Tableau & Looker.
• Ability to create data infrastructure using tools such as dbt, Flyte, and PagerDuty to handle scheduling, data transforms, workflow monitoring, and accuracy checks.
• 1 year of experience with knowledge of music streaming behavior, music industry trends, and evolution of music genres to define content metrics and build pipelines to forecast and analyze trends.

Responsibilities

• Support Content Analytics Personalization & Editorial team with infrastructure needs.
• Create data tables for company-wide reporting using SQL, Tableau, and Looker.
• Build and maintain data infrastructure using dbt, Flyte, and PagerDuty for scheduling, transformation, and monitoring.

Skills

SQL

Tableau

Looker

dbt

Flyte

PagerDuty

Data Infrastructure

Data Warehousing

Education

Bachelor's degree

Tools

dbt

Flyte

PagerDuty

Tableau

Looker

Job description

Spotify USA, Inc. in NY, NY seeks a Data Analytics Engineer to support the Content Analytics Personalization & Editorial teams with scalable data infrastructure and reporting capabilities.

The role requires a Bachelor's degree in any field and 2 years of data experience, with proficiency in SQL, Tableau, Looker, and modern data tooling. The ideal candidate will contribute to company-wide reporting, build pipelines for forecasting trends in music consumption, and help ensure data accuracy across