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  • Yield Analyst - Bloomberg Media

    Bloomberg (New York, NY)



    Apply Now

    Yield Analyst - Bloomberg Media

     

    Location

     

    New York

     

    Business Area

     

    News and Media

     

    Ref #

     

    10047367

     

    Description & Requirements

     

    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.What's the role?

     

    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 enhancing our inventory to ensure we are properly and effectively monetizing our advertising assets through data-driven strategic analyses, while having the ability to effectively translate and adjust to sales and operational needs.

    WE’LL TRUST YOU TO:

    + Serve as the primary contact for Sales, Planning, and Ad Operations, approving pricing and inventory across multiple channels and buying methodologies, including Digital, Linear, Social, and Programmatic.

    + Be fluent in inventory, pricing, and revenue data to identify market trends and translate insights into data-driven pricing and inventory strategies that balance yield optimization with advertiser performance.

    + Build and maintain dynamic forecasting models to project revenue, fill rate, and yield outcomes based on changing market conditions, inventory supply, and client demand.

    + Design and implement scalable pricing frameworks and performance methodologies that ensure consistency, transparency, and alignment with business objectives.

    + Collaborate with cross-functional partners (Sales, Marketing, Finance, Data Science) to test and evaluate pricing approaches that support both near-term goals and long-term growth.

    + Own and evolve the rate card structure across multiple mediums, proposing updates based on data analysis and marketplace feedback.

    + Support new product and packaging initiatives through pricing analysis and market positioning assessments.

    YOU’LL NEED TO HAVE:

    + At least 2 years of experience in digital ad sales, covering formats such as Display/Video, OTT/CTV, Linear TV, Print, Social, or Audio/Podcasting.

    + A 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 background, with demonstrated proficiency in Microsoft Excel (including Power Pivot and Power Query).

    + Experience extracting, manipulating, and interpreting large datasets to support business decisions.

    + Working knowledge of data visualization tools (e.g., Tableau, Power BI, Looker) to present insights effectively.

    + Proven ability to translate complex data and models into clear, actionable business narratives for non-technical audiences.

    + Exceptional attention to detail and comfort working with large volumes of data.

    WE'D LOVE TO SEE:

    + Bring a proactive, collaborative mindset with strong communication and organizational skills, able to manage multiple priorities across teams and adapt quickly in a fast-paced, evolving environment.

    + Excellent organizational and project management skills.

    + Exposure to machine learning or statistical modeling techniques for forecasting and optimization (even at a conceptual level).

    + A track record of improving revenue efficiency, fill rates, or pricing accuracy through analytical initiatives.

    + Interest in mentoring or developing documentation and frameworks that make pricing concepts more accessible across the organization.

     

    Salary Range = 85000 - 120000 USD Annually + 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 for an inside look at our culture, values, and the people behind our success.

     

    Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

     

    Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [email protected]

     


    Apply Now



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