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Bloomberg

Analyst - US Commercial Yield

Bloomberg is hiring an Analyst - US Commercial Yield in New York, United States. It pays $90k-$110k a year and Level rates it ; you can apply on Bloomberg.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions yield management, pricing strategy and forecasting among its tools and skills.
  • Level classes it as a mid-level role.
  • Bloomberg has 337 other open roles on Level.
  • Posted in the last few days.

AI in this role

Optimize advertising inventory monetization through data-driven pricing, packaging strategies, and forecasting models.

yield-managementpricing-strategyforecastingdata-analysis
The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen. 
At Bloomberg Media, we are committed to providing extraordinary support to our business partners by providing insight on business performance, financial oversight, and thought leadership.
We’re seeking a Yield Analyst to join Bloomberg’s Global Yield Team. You will work across all of our media assets, including Digital, TV, Social, Audio, and Print. You’ll be responsible for optimizing how we monetize our advertising inventory through data-driven pricing, inventory, product, and packaging strategies, while effectively translating insights and adapting recommendations to sales, operational, and marketplace needs.
We’ll trust you to:
  • 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.
  • Be fluent in inventory, pricing, revenue, and marketplace data to identify trends and optimize pricing and inventory strategies by region, sales vertical, platform, and seasonality, balancing 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 to improve sell-through and unlock incremental revenue opportunities.
  • Build and maintain dynamic forecasting and scenario models to project revenue, sell-through, inventory availability, and yield outcomes based on changing supply, demand, seasonality, and market conditions.
  • Design and evolve scalable pricing frameworks, rate cards, and performance methodologies across multiple mediums, ensuring consistency while adapting to inventory trends, marketplace conditions, and commercial needs.
  • Collaborate with partners across Sales, Planning, Ad Operations, Marketing, Finance, Product, and Data to evaluate pricing, inventory, and product strategies that support near-term objectives and long-term growth.
  • Analyze complex datasets and present clear findings, recommendations, and strategic points of view across the commercial organization, translating 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 overall team efficiency.
You’ll need to have:
  • 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.
  • A bachelor’s degree or equivalent qualifications and fluency in written and spoken English.
  • Professional experience in advertising, media, or finance, ideally within a global organization.
  • Strong mathematical and analytical skills, with 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, with working knowledge of visualization tools such as Tableau, Power BI, or Looker.
  • Strong communication and presentation skills, with a proven ability to translate complex data, models, and marketplace dynamics into clear, actionable recommendations for stakeholders across different functions and levels of the organization.
  • Exceptional attention to detail and comfort working with large volumes of data.
We’d love to see:
  • A proactive, collaborative mindset with strong organizational and project management skills, with 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, with an interest in applying them to build scalable tools, improve analytical processes, and increase operational efficiency.
  • Experience thinking strategically about product design, packaging, inventory allocation, and monetization, particularly across multiple platforms, markets, or audience segments.
  • A 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.

Does this sound like you?Apply if you think we're a good match. We'll get in touch to let you know that the next steps are, but in the meantime feel free to have a look at: https://www.bloomberg.com/company/what-we-do/ 
Salary Range = 90,000 - 110,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.


We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

How we rate this

Analyst - US Commercial Yield at Bloomberg rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Yield ManagementPricing StrategyForecastingData Analysis

Questions you could be asked

  1. Tell me about a project where yield management was part of your work. What did you do?
  2. Tell me about a project where pricing strategy was part of your work. What did you do?
  3. Tell me about a project where forecasting was part of your work. What did you do?
  4. Tell me about a project where data analysis was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Yield Management, Pricing Strategy, Forecasting, and Data Analysis. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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