Senior Data Analyst – Paid Media
Key Skills for This Role
Full Job Posting
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
- 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.
Preferred Qualifications
- 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
- Bonus: This position is not eligible for a bonus under the current bonus plan requirements.
About AEG Worldwide
Leading global sports and live entertainment company.
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