Yield Analyst, UK Commercial
Job Summary
- 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 optimise 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.
- Analyse complex datasets and present clear findings recommendations and strategic points of view across the commercial organisation translating analytical concepts into actionable business narratives for different audiences.
- Identify and implement opportunities to use AI statistical modelling scripting and automation to improve forecasting pricing and inventory optimisation reporting scenario modelling and overall team efficiency.
- 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 bachelors degree or equivalent qualifications and fluency in written and spoken English.
- Professional experience in advertising media or finance ideally within a global organisation.
- 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 visualisation 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 organisation.
- Exceptional attention to detail and comfort working with large volumes of data.
- A proactive collaborative mindset with strong organisational 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 modelling 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 monetisation particularly across multiple platforms markets or audience segments.
- A track record of improving revenue efficiency sell-through inventory utilisation 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 organisation.
Required Experience:
IC
About Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more