Analyst - US Commercial Yield

Details

At Bloomberg Media, the Global Yield Team provides insight on business performance, financial oversight, and thought leadership. The Yield Analyst will work across media assets including Digital, TV, Social, Audio, and Print to optimize advertising monetization through data-driven pricing, inventory, product, and packaging strategies.

Responsibilities

• Serve as a primary Yield partner to Sales, Planning, and Ad Operations, evaluating and approving pricing and inventory across Digital, Linear, Social, Audio, Print, and Programmatic channels and buying methodologies.
• Analyze inventory, pricing, revenue, and marketplace data to identify trends and optimize pricing and inventory strategies by region, sales vertical, platform, and seasonality.
• Balance sell-through, yield, advertiser needs, and overall business objectives.
• Evaluate, create, and evolve product offerings and packaging strategies across platforms using inventory availability, demand, performance, and marketplace feedback.
• Build and maintain forecasting and scenario models to project revenue, sell-through, inventory availability, and yield outcomes based on supply, demand, seasonality, and market conditions.
• Design and evolve scalable pricing frameworks, rate cards, and performance methodologies across multiple media formats.
• Collaborate with Sales, Planning, Ad Operations, Marketing, Finance, Product, and Data teams on pricing, inventory, and product strategies.
• Analyze complex datasets and present findings, recommendations, and strategic perspectives to the commercial organization.
• Translate analytical concepts into actionable business narratives for different audiences.
• Identify and implement opportunities to use AI, statistical modeling, scripting, and automation to improve forecasting, pricing and inventory optimization, reporting, scenario modeling, and team efficiency.

Requirements

• At least 2 years of experience in digital advertising, media, yield management, sales planning, revenue management, or a related field.
• Exposure to formats such as Display/Video, OTT/CTV, Linear TV, Print, Social, or Audio/Podcasting.
• Bachelor’s degree or equivalent qualifications.
• Fluency in written and spoken English.
• Professional experience in advertising, media, or finance, ideally within a global organization.
• Strong mathematical and analytical skills.
• Demonstrated proficiency in Microsoft Excel, including Power Pivot and Power Query.
• Experience extracting, manipulating, and interpreting large datasets to identify trends and support business decisions.
• Working knowledge of visualization tools such as Tableau, Power BI, or Looker.
• Strong communication and presentation skills, with the ability to translate complex data, models, and marketplace dynamics into clear recommendations.
• Exceptional attention to detail and comfort working with large volumes of data.

Preferred Qualifications

• Proactive, collaborative mindset with strong organizational and project management skills.
• Exposure to AI tools, machine learning, statistical modeling, scripting, or automation.
• Experience applying analytical processes to build scalable tools and improve operational efficiency.
• Strategic experience with product design, packaging, inventory allocation, and monetization across multiple platforms, markets, or audience segments.
• Track record of improving revenue efficiency, sell-through, inventory utilization, or pricing accuracy through analytical initiatives.
• Comfort developing and presenting data-backed recommendations.
• Interest in mentoring others and developing documentation, tools, or frameworks related to pricing, inventory, and yield.

Benefits

Benefits and total rewards may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.

Compensation

USD 90,000–110,000 annual salary, plus benefits and bonus. Actual compensation may vary based on geographic location, work experience, market conditions, education, training, and skill level.