Analytics Engineer: Data Pipelines & BI Dashboards

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

Benefits offered by this job

Health, dental and vision plans

401(k) with company match

Paid time off

Professional development opportunities

Discounts and benefits program

Job summary

Clear Channel Outdoor in New York, NY, is seeking an Analytics Engineer for the RADAR Data Products team. You will bridge data engineering and business intelligence, building models, pipelines, and dashboards to power strategic decisions across the organization.

You will partner with product, engineering, and sales to transform raw data into reliable insights, while automating processes for consistency and scale.

Qualifications

• EducationBachelor’s degree in Computer Science, Mathematics, Statistics, Finance, related field, equivalent professional experience or military experience.
• Minimum of two (2) years working as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers.
• Strong proficiency working in SQL to create scalable and efficient queries that can used to deliver business insights at scale.
• Proficiency in Python, R, or similar programming languages for data analysis and statistical modeling.
• Proficiency working with a modern BI reporting tool such as Looker, Mode, or Tableau.
• Familiarity with infrastructure components, ETL processes, and reporting/analytic tools and environments.
• Skills Understanding of the principles of ad measurement, identity resolution, location data and other adtech/martech datasets.
• Strong ability to manage and execute fast-paced, dynamic projects with a high degree of organization and independence.

Responsibilities

• Develop and maintain knowledge of the media landscape (particularly OOH), advertising trends, and RADAR Data Platform capabilities to better contextualize RADAR's datasets and analytics outputs.
• Own the end-to-end delivery of technical RADAR programs — including data maintenance, schema designs, and reporting assets — ensuring they are delivered in a timely fashion and meet quality standards.
• Engage with cross-functional product, engineering, marketing, and sales teams to define analytics requirements, KPIs, and metrics that support key business and product decisions.
• Write, optimize, and maintain scalable SQL queries and data models that serve as the foundation for reporting, dashboards, and downstream analytics.
• Build and maintain modular, reusable data pipelines and transformations using modern ELT/ETL frameworks, delivering clean, analytics-ready datasets across teams.
• Own the development and maintenance of BI dashboards and self-serve analytics tools, translating business requirements into reliable, production-grade reporting assets.
• Implement testing frameworks, data validation processes, and documentation standards that ensure accuracy and trustworthiness across RADAR data products.
• Automate and optimize recurring data workflows, reducing manual effort and improving consistency and scalability across the data platform.
• Collaborate with Data Engineering teams to troubleshoot pipeline issues, align on data architecture, and contribute to long-term investments in the RADAR data platform.
• Communicate technical work, findings, and data limitations clearly to both technical and non-technical stakeholders, enabling confident, data-informed decision-making.

Skills

SQL

Python

R

BI tooling

Data modeling

ELT/ETL

Analytics thinking

Data storytelling

Cloud platforms

Education

Bachelor's degree in CS/Math/Stats/Finance or related field

Tools

Looker

Mode

Tableau

Job description

Clear Channel Outdoor in New York, NY, is seeking an Analytics Engineer for the RADAR Data Products team. You will bridge data engineering and business intelligence, building models, pipelines, and dashboards to power strategic decisions across the organization.

You will partner with product, engineering, and sales to transform raw data into reliable insights, while automating processes for consistency and scale.