Senior Data Analyst – Paid Media & Campaign Insights

SportsTechJobs; Los Angeles (CA); On-site; USD 82,000 - 125,000; Full time

Benefits offered by this job

Medical insurance

401k match

Paid holidays

Job summary

AEG Worldwide is seeking a Senior Data Analyst – Paid Media in Los Angeles. The role partners with Paid Media, Product, and Data Engineering to ingest ad-platform data, build scalable models, and deliver automated reporting to optimize budget, audience, and creative decisions.

You will develop and sustain dashboards (GA4/GA4–like) and attribution benchmarks, driving data-driven recommendations to improve ticket sales and brand initiatives. Strong SQL, data modeling, and BI tooling are essential.

Qualifications

• BA/BS in Computer Science, Data Science, Statistics, Mathematics, Economics, Business, Marketing, or related field.
• 4–6 years of experience in data analytics, BI, or similar roles with exposure to paid media or digital marketing data.
• Advanced SQL skills and experience with large datasets.

Responsibilities

• Provide analytical support to Paid Media and Marketing teams, compiling performance reports across digital channels.
• Build and maintain measurement plans to evaluate paid media performance and attribution models.
• Collaborate with Data, Product, and Engineering teams to manage data pipelines for channel metrics.

Skills

SQL

Data modeling

ETL pipelines

Python

BI dashboards

GA4

SFMC

Cross-functional communication

Education

BA/BS in a quantitative field

Tools

Datorama

DOMO

BigQuery

Looker Studio/Tableau

Google Analytics 4

Tag Manager

Job description

AEG Worldwide is seeking a Senior Data Analyst – Paid Media in Los Angeles. The role partners with Paid Media, Product, and Data Engineering to ingest ad-platform data, build scalable models, and deliver automated reporting to optimize budget, audience, and creative decisions.

You will develop and sustain dashboards (GA4/GA4–like) and attribution benchmarks, driving data-driven recommendations to improve ticket sales and brand initiatives. Strong SQL, data modeling, and BI tooling are essential.