Analyst - US Commercial Yield

Bloomberg•New York, NY

6h•$90,000 - $110,000

About The Position

Bloomberg Media is seeking a Yield Analyst to join the Global Yield Team and support its Digital, TV, Social, Audio, and Print media assets. The role optimizes advertising monetization through data-driven pricing, inventory, product, and packaging strategies, translating insights into recommendations that address sales, operational, and marketplace needs. The analyst partners with Sales, Planning, and Ad Operations on pricing and inventory decisions across channels and buying methodologies. The role uses commercial and marketplace data to identify trends, build forecasts and scenario models, shape pricing frameworks and product offerings, and find opportunities to improve revenue and operational efficiency. It also involves collaborating across business functions and communicating clear, actionable analyses and recommendations to stakeholders.

Requirements

At least 2 years of experience in digital advertising, media, yield management, sales planning, revenue management, or a related field, with 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; experience within a global organization is preferred.
Strong mathematical and analytical skills.
Demonstrated proficiency in Microsoft Excel, including tools such as 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, including the ability to translate complex data, models, and marketplace dynamics into clear, actionable recommendations for stakeholders across functions and organizational levels.
Exceptional attention to detail and comfort working with large volumes of data.

Nice To Haves

Proactive, collaborative mindset with strong organizational and project management skills, and the ability to manage multiple priorities and adapt quickly in a fast-paced, evolving environment.
Exposure to AI tools, machine learning, statistical modeling, scripting, or automation, and interest in applying them to build scalable tools, improve analytical processes, and increase operational efficiency.
Strategic thinking about product design, packaging, inventory allocation, and monetization, particularly 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, including challenging existing approaches when marketplace or performance data supports a different strategy.
Interest in mentoring others and developing documentation, tools, or frameworks that make pricing, inventory, and Yield concepts more accessible across the organization.

Responsibilities

Serve as a primary Yield partner to Sales, Planning, and Ad Operations, evaluating and approving pricing and inventory across multiple channels and buying methodologies, including Digital, Linear, Social, Audio, Print, and Programmatic.
Use inventory, pricing, revenue, and marketplace data to identify trends and optimize pricing and inventory strategies by region, sales vertical, platform, and seasonality.
Evaluate, create, and evolve product offerings and packaging strategies across platforms to improve sell-through and identify incremental revenue opportunities.
Build and maintain forecasting and scenario models to project revenue, sell-through, inventory availability, and yield outcomes as supply, demand, seasonality, and market conditions change.
Design and evolve scalable pricing frameworks, rate cards, and performance methodologies across multiple mediums.
Collaborate with Sales, Planning, Ad Operations, Marketing, Finance, Product, and Data on pricing, inventory, and product strategies supporting near-term objectives and long-term growth.
Analyze complex datasets and present findings, recommendations, and strategic points of view, translating analytical concepts into actionable business narratives for different audiences.
Identify and implement uses of AI, statistical modeling, scripting, and automation to improve forecasting, pricing and inventory optimization, reporting, scenario modeling, and team efficiency.