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Programmatic Analyst (Inventory Enablement & Optimization)
Roku · New York, United States
About The Role
Join Roku's Revenue Operations team as a Programmatic Analyst, where you'll optimize the monetization of advertising inventory and drive ad revenue growth. This role involves strategic planning, data analysis, and collaboration with cross-functional teams. You'll have the opportunity to work in a fast-growing revenue stream and make a significant impact on Roku's programmatic business.
- Develop and maintain a strong understanding of Roku’s programmatic ad ecosystem, partners, and integration to increase yield.
- Drive analysis of the overall programmatic stack, ensuring the health and yield from each partner, and keep stakeholders informed of trends.
- Leverage Roku’s Big Data to produce actionable reporting for the programmatic business, while automating routine analysis where possible.
- An Analyst should not only have strong analytical skills, but also excellent communication capabilities and a solutions-oriented mindset. The ideal candidate must be able to balance day-to-day responsibilities and long-term strategic projects within a fast-paced environment
- They should be a self-starter and comfortable recommending solutions in an ambiguous environment with guidance
- Familiarity with the ad tech terminology and landscape, including prior experience working with DSPs, SSPs, ad servers, and DMPs. Experience with OTT/CTV a plus
- Excellent written and verbal communication skills, and the ability to take complicated subject matter and communicate clearly and effectively for any audience
- 4+ years of experience in digital advertising in an inventory, revenue operations, data analytics, finance, or business analyst role
- Self-starter, comfortable working autonomously in fast-paced, growing environment
- Analytical, project management, and detail-oriented personality
- Experience creating reports with data visualization platform like Tableau, Looker, etc
- Excellent command of Excel, understanding of SQL and working with large datasets
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