Senior Data Analyst – Paid Media

Senior Data Analyst – Paid Media

Company Information

For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!

Job Summary

The Senior Data Analyst – Paid Media sits on the Data Analytics, Reporting & Strategy team and serves as the analytical partner and lead for the Paid Media team. Paid Media drives company-wide digital media strategy, campaign management, and consultative support across AEG divisions, including AEG Presents, Global Touring, Festivals, Goldenvoice, Bowery Presents, and Global Partnerships. Campaigns run across a broad mix of channels, including Meta, Google Ads, TikTok, and other social, search, and programmatic platforms.

This role is responsible for pulling, transforming, and modeling campaign data from those ad platforms and joining it with other data sources to build a unified view of performance. The analyst will design scalable data models and automated reporting that measure campaign effectiveness and surface opportunities to optimize budget allocation, audience targeting, creative, and customer acquisition. The role also turns findings into clear, practical recommendations that drive ticket sales, event awareness, and brand initiatives.

The Senior Data Analyst will work closely with the Paid Media, Product, and Data Engineering teams on cross-functional projects covering paid media data ingestion, aggregation, mastering, measurement, and visualization. The position will lead the work to make sure tracking and tagging (pixels, conversion APIs, UTMs) capture accurate marketing data. It will also develop and maintain attribution models and set performance benchmarks for key metrics such as CPA, ROAS, CTR, and conversion rate.

Required Qualifications

BA/BS degree (4-year) in Computer Science, Data Science, Statistics, Mathematics, Economics, Business, Marketing, or a related quantitative field

4–6 years of experience in data analytics, business intelligence, or a similar role, with exposure to paid media or digital marketing data on the client, publisher, or agency side; e-commerce experience preferred

Advanced SQL skills and experience pulling, transforming, and analyzing large, complex datasets

Strong ability to build data models, data flows, and ETL/ELT pipelines using SQL and/or Python, bringing together data from multiple media channels into a scalable, automated insights reporting structure

Proficiency in BI and data visualization tools such as DOMO, Looker Studio, Tableau, or similar, with strong dashboard design and data storytelling skills

Experience with Salesforce Marketing Cloud Intelligence (formerly Datorama) or similar marketing data integration platforms is a strong plus

Working knowledge of paid media data and performance metrics, including impressions, CTR, CPC, CPA, conversion rate, and ROAS, across platforms such as Meta, Google Ads, and TikTok

Familiarity with tracking infrastructure such as GA4, Google Tag Manager, pixels, Conversions API, UTMs, and server-side tracking

Experience applying statistical methods to performance benchmarking, attribution modeling, and media mix modeling (MMM)

Understanding of the ad tech and Martech landscape (programmatic buying, DSP/SSP, audience management, ad serving, social buying platforms), and of privacy regulations’ impact on measurement, including cookie-less tracking and multi-touch customer journeys

Ability to clearly communicate insights and recommendations to technical and non-technical stakeholders, and manage multiple cross-functional projects at once

Payscale: $82,158.00 -$125,000.00 Annually

Bonus: This position is not eligible for a bonus under the current bonus plan requirements.

Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

Employer does not offer work visa sponsorship for this position.

Employment type: Full-time

Industries: Entertainment Providers