Lead Analyst, Channel Analytics

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.