Senior Data Analyst - Paid Media

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

Job summary

AEG Worldwide in Los Angeles is seeking a Senior Data Analyst for Paid Media to transform campaign data from Meta, Google Ads, TikTok and more into a unified performance view. You will build scalable models and automated reports to guide budget allocation and audience targeting.

You will partner with Paid Media, Product and Data Engineering to ensure accurate tracking, develop attribution models, set benchmarks for CPA, ROAS and CTR, and present clear recommendations that drive ticket sales and

Qualifications

• BA/BS in CS, data science, statistics, math, economics, business or related quantitative field.
• 4-6 years of data analytics or BI experience, paid media exposure preferred.
• Advanced SQL skills and ability to build data models and dashboards.

Responsibilities

• Provide analytical support to Paid Media and Marketing teams with performance reports.
• Build measurement plans, attribution models and benchmarks by channel and campaign.
• Collaborate with Data, Product and Engineering on data pipelines and tagging integrity.
• Develop tests for new campaigns and optimize targeting, budget, and creative.
• Lead cross-functional projects using tools like GA4, pixels, UTMs, and server-side tracking.

Skills

Advanced SQL

Data modeling

Data visualization

Statistical methods

Communication skills

Project management

Education

BA/BS in CS/Data Science/Statistics/Math/Economics/Business/Marketing

Tools

Datorama (Salesforce Marketing Cloud Intelligence)

Looker Studio/Tableau/DOMO

GA4 / Google Tag Manager

UTMs / pixels

BigQuery

Job description

Senior Data Analyst - Paid MediaAEG WORLDWIDELos Angeles, California, United States(on-site)Posted1 day agoJob FunctionOther Profession**Description**\\u003cp\\u003e\\u003cstrong\\u003eCompany Information\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cspan data-olk-copy-source=\"MessageBody\"\\u003eAEG brings music, sports, and live entertainment together to create moments people remember around the world. Each year, more than 100 million fans experience live events across five continents-from global touring, concerts, and festivals to iconic sports and entertainment destinations.\\u003c/span\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eThrough our music division, AEG Presents, one of the world's leading operators of tours, concerts, and music festivals, we help shape the sound of now. We work with artists at every stage of their careers to bring live music to life, connecting artists with fans on stages around the world.\\u003c/p\\u003e\\n\\u003cp\\u003eHeadquartered in Los Angeles, AEG Presents is driven by creativity, innovation, and purpose, and powered by people who want their work to show up in the real world.\\u003c/p\\u003e\\n\\u003cp\\u003eIf you're ready to help create moments that matter, there's a place for you here. Because it happens here.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003eThe \\u003cstrong\\u003eSenior Data Analyst - Paid Media\\u003c/strong\\u003e sits on the \\u003cstrong\\u003eData Analytics, Reporting \\u0026amp; Strategy\\u003c/strong\\u003e 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.\\u003cbr\\u003e\\u003cbr\\u003eThis 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.\\u003cbr\\u003e\\u003cbr\\u003eThe 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.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eEssential Functions\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cul\\u003e\\n\\u003cli\\u003eProvide analytical support to Paid Media and Marketing teams, compiling performance marketing reports across digital channels using internal BI tools, Google Analytics, native advertising platforms. Communicate results to stakeholders, working with media and strategy teams to demonstrate clear actionable insights for media plans, budget forecasting, targeting/audiences, and creative.\\u003c/li\\u003e\\n\\u003cli\\u003eBuild and maintain comprehensive measurement plans to evaluate paid media performance, calculate benchmarks based on objectives, develop + maintain attribution models to identify trends, testing opportunities, and insights by channel, audience, festival/tour/regional show, and business unit.\\u003c/li\\u003e\\n\\u003cli\\u003ePartner with Data, Product, Engineering teams to manage data pipelines + ingestion for channel metrics, define data collection requirements and enforce optimal taxonomy for reporting implementations, continual data hygiene + integrity across ad buying and internal platforms.\\u003c/li\\u003e\\n\\u003cli\\u003eCollaborate with media, marketing, and data teams to inform audience and targeting strategies. Develop tests to evaluate new campaign strategies, ad products, optimization tactics, and targeting features.\\u003c/li\\u003e\\n\\u003cli\\u003eManage and lead paid media projects involving data aggregation and measurement tools such as Datorama, Google Analytics / GA4, Tag Manager, DOMO, BigQuery, LiveRamp, server-server integrations with media partners. Ensure appropriate site tracking is in place to capture relevant data points to measure marketing effectiveness.\\u003c/li\\u003e\\n\\u003cli\\u003eWork closely with data team to develop and maintain reporting dashboards for internal and external use, while providing support for ad hot reporting requests.\\u003c/li\\u003e\\n\\u003c/ul\\u003e\\n\\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eRequired Qualifications\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cul\\u003e\\n\\u003cli\\u003eBA/BS degree (4-year) in Computer Science, Data Science, Statistics, Mathematics, Economics, Business, Marketing, or a related quantitative field\\u003c/li\\u003e\\n\\u003cli\\u003e4-6 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\\u003c/li\\u003e\\n\\u003cli\\u003eAdvanced SQL skills and experience pulling, transforming, and analyzing large, complex datasets\\u003c/li\\u003e\\n\\u003cli\\u003eStrong 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\\u003c/li\\u003e\\n\\u003cli\\u003eProficiency in BI and data visualization tools such as DOMO, Looker Studio, Tableau, or similar, with strong dashboard design and data storytelling skills\\u003c/li\\u003e\\n\\u003cli\\u003eExperience with Salesforce Marketing Cloud Intelligence (formerly Datorama) or similar marketing data integration platforms is a strong plus\\u003c/li\\u003e\\n\\u003cli\\u003eWorking 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\\u003c/li\\u003e\\n\\u003cli\\u003eFamiliarity with tracking infrastructure such as GA4, Google Tag Manager, pixels, Conversions API, UTMs, and server-side tracking\\u003c/li\\u003e\\n\\u003cli\\u003eExperience applying statistical methods to performance benchmarking, attribution modeling, and media mix modeling (MMM)\\u003c/li\\u003e\\n\\u003cli\\u003eUnderstanding 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\\u003c/li\\u003e\\n\\u003cli\\u003eAbility to clearly communicate insights and recommendations to technical and non-technical stakeholders, and manage multiple cross-functional projects at once\\u003c/li\\u003e\\n\\u003c/ul\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003ePayscale: $82,158.00 -$125,000.00 \\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eBonus:\\u0026nbsp;\\u003c/strong\\u003e\\u003cem\\u003e\\u003cstrong\\u003e \\u003c/strong\\u003eThis position is not eligible for a bonus under the current bonus plan requirements.\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eBenefits:\\u003c/strong\\u003e\\u003cem\\u003e\\u003cstrong\\u003e Full-time: \\u003c/strong\\u003eWe 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.\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eAEG reserves the right to change or modify the employee's job description whether orally or in writing, at any time during the employment relationship.\\u0026nbsp; AEG may require an employee to perform duties outside their normal description.\\u003c/p\\u003e\\n\\u003cp\\u003eAEG'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. \\u0026nbsp;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.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003eEmployer does not offer work visa sponsorship for this position.\\u003c/p\\u003e