Senior Data Analyst – Paid Media

Responsibilities

• pulling, transforming, and modeling campaign data from those ad platforms and joining it with other data sources to build a unified view of performance
• design scalable data models and automated reporting that measure campaign effectiveness and surface opportunities to optimize budget allocation, audience targeting, creative, and customer acquisition
• turn findings into clear, practical recommendations that drive ticket sales, event awareness, and brand initiatives
• 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
• lead the work to make sure tracking and tagging (pixels, conversion APIs, UTMs) capture accurate marketing data
• develop and maintain attribution models and set performance benchmarks for key metrics such as CPA, ROAS, CTR, and conversion rate

Requirements

• 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

Benefits

• 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.