| Position: | Yield Management Analyst | | Status: | FILLED |
Company Background
The client is an online data service that uses anonymous cookie information to tailor specific advertising messages based on consumer online shopping habits. They offer multi-channel retailers and e-commerce companies the ability to use consumer shopping behaviors to improve the ROI of graphical advertising delivered across the internet.
Position
The Yield Management Analyst will be responsible for supporting the Director in maximizing the ROI of the company's behavioral targeting campaigns. Specific responsibilities will include performing campaign optimization, inventory allocation, pricing controls, as well as, participation in modeling and forecasting of strategic business initiatives. In this capacity, you will also work closely with the Account Service and Ad Operations teams to share key campaign insights and ensure optimization efforts are executed in a timely and accurate manner.
Responsibilities
- Conduct analytical efforts designed to maximize the yield of the company's behavioral campaigns, while driving scalable results for clients
- Help to determine the appropriate media mix for client campaigns based on pricing, spend thresholds and ROI factors
- Conduct analysis related to creative and offer optimization
- Make business decisions based on data analysis and communicate results to senior management
- Work with internal teams (Account Directors & Ad Operations) to ensure that optimization decisions are implemented in a timely and accurate manner
- Contribute to business modeling and forecasting efforts to support strategic planning
Qualifications
- Graduate of a top tier university
- BS/BA degree in business (finance or marketing) or mathematics preferred
- 2-3 years of work experience with proven track record of effective quantitative analysis
- Internet media background preferred but not required
- Entrepreneurial spirit and the desire to be challenged
- Ability to communicate clearly to varying audiences and collaborate actively with others in cross-functional teams
- Proven success interpreting analyses into actionable recommendations
- Proficiency in MS Excel and other data modeling tools
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