We’re seeking a Lead Analyst with expertise in analytics to support and expand channel-level data analysis. The candidate should have media analytics experience, understand the factors influencing paid media channels, and be skilled in analytical methods to provide meaningful, actionable recommendations. They bring strong curiosity, work ethic, and experience, enabling them to explore large datasets and discover insights and testing opportunities across digital marketing efforts.
The candidate has deep expertise in paid search, paid social, display, and mobile. They also demonstrate a strong grasp of media operations and the data systems connected to paid channels. They understand media analytics frameworks such as MMX and cross-channel attribution for revenue, lifetime value, and active use models.
Analyst responsibilities
Apply AI and advanced analytics to assist media buyers in converting performance insights into actions for weekly campaign optimization based on creative, audience, tactic, keyword, etc.
Build and implement automated analytical workflows that replace manual reporting, data pulls, and repetitive analysis
Conduct ad hoc deep-dive analysis on media opportunity or problem areas
Assist in budget recommendations at the channel, tactic and region level
Own and lead channel efficiency frameworks across paid media (search, social, programmatic, mobile)
Develop executive‑ready narratives and summaries, translating complex analyses into clear takeaways for senior leadership and business reviews
Stay on the cutting edge of industry standard methodologies, trends, and new technologies
Continuously find opportunities to reduce friction, improve efficiency, and scale impact through technology-based solutions
Skills and Qualifications:
Strong knowledge of third-party ad-serving and tracking (Flashtalking / Innovid preferred), programmatic and search engine marketing, social media marketing platforms, and multi-touch attribution
Experience using AI tools to automate analytical processes; Strong understanding of data infrastructure (Databricks, Agent). Descriptive and inferential statistical methods, regression/correlation analysis. Familiar with R or Python a plus.
Strong analytical skills and ability to judge and quantify results of advertising (i.e., understand media attribution, describe impact of results, compare actual results to projections)
Understand standard methodologies for optimizing creative and why a tactic or audience is performing best
Technical skills to troubleshoot paid media data issues, resolve data pipeline gaps and improve data infrastructure and fidelity
Strong presentation and storytelling skills
Experience:
7+ years validated experience
Bachelor’s degree or equivalent experience, MS preferred
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