Analytics Engineer - Data Pipelines & BI (RADAR)

Clear Channel Outdoor Holdings, Inc.; New York (NY); On-site; USD 84,000 - 105,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) match

Paid time off

Professional development

Job summary

Clear Channel Outdoor seeks an Analytics Engineer for the RADAR Data Products team in New York, NY. You will blend data engineering with business intelligence to build models, pipelines, and dashboards that inform strategic decisions across the organization.

You will partner with Product, Engineering, and Sales to translate requirements into analytics assets, drive data quality, and automate workflows, delivering scalable, production-grade reporting and insights.

Qualifications

• Bachelor’s degree in a related field or equivalent professional experience.
• 2+ years as a Data/Analytics Engineer or similar.
• Strong SQL chops with scalable query design.
• Python, R, or similar language for data analysis.
• Experience with BI tools (Looker/Mode/Tableau).
• Familiarity with ETL/ELT pipelines and data workflows.
• Knowledge of cloud Databases (AWS/GCP/Azure).

Responsibilities

• Develop and maintain RADAR data pipelines, schemas, and reporting assets.
• Collaborate with Product, Engineering, Marketing, and Sales to define analytics requirements.
• Build scalable SQL queries and data models for dashboards and analytics.
• Create modular ETL/ELT pipelines delivering analytics-ready data.
• Develop and maintain BI dashboards and self-serve analytics tools.
• Implement data validation, testing, and documentation standards.
• Automate recurring data workflows for consistency and scalability.
• Communicate findings clearly to technical and non-technical stakeholders.

Skills

SQL

Python

R

BI Tools

ETL/ELT

Cloud Databases

Data Modeling

Communication

Adtech Data

Education

Bachelor's degree or equivalent

Tools

Looker

Mode

Tableau

Job description

Clear Channel Outdoor seeks an Analytics Engineer for the RADAR Data Products team in New York, NY. You will blend data engineering with business intelligence to build models, pipelines, and dashboards that inform strategic decisions across the organization.

You will partner with Product, Engineering, and Sales to translate requirements into analytics assets, drive data quality, and automate workflows, delivering scalable, production-grade reporting and insights.