The New York Times is seeking an intellectually curious and passionate employee who is eager to dive into the various yield optimization challenges that support our digital advertising businesses. The ideal candidate will have the skills necessary to explain complex elements of today’s rapidly evolving digital advertising landscape clearly across many business units, including Advertising, Finance, Product and Analytics.
Develop, analyze, and distribute key business metric reporting and insights, for the Advertising organization to monitor business performance and overall yield performance, on an ongoing basis.
Provide senior leadership team with proactive suggestions on ways to optimize yield, providing advanced analytics, media optimization, and algorithm development.
Analyze digital ad delivery, ad traffic and audience profile reports as a means of directing our targeting, direct and programmatic ad sales strategies. Utilize statistical analysis against historical delivery trends across digital platforms, properties and sections as a means of measuring future inventory capacity (supply).
Oversee a team executing day-to-day objectives of analyzing and maximizing ad revenue through existing and newly developed techniques across direct and programmatic campaigns.
Primary liaison with Product & Analytics team to understand upcoming traffic enhancements and then modify forecasts as needed.
Recommend price floors (discounts against rate card) based on varying inventory availability.
Perform data-driven analyses on the data that yield key insights and recommendations into how to drive campaign performance.
Provide inputs and suggestions around campaign set up, targeting, and campaign weighting and optimization model development.
Qualifications:
Bachelor’s degree (statistics, economics, finance, or marketing focus preferred) and, ideally, a Master’s degree.
Experience and understanding of general business, advertising and marketing principles.
Excellent analytical and spreadsheet skills are a must. Working experience with relational databases, SAS, SQL, or other analytics tools and languages are desired. Knowledge of analytical methodologies used for optimization and evaluation of ad campaigns (i.e., customer segmentation, predictive response models, marketing & trend analysis, etc).
Experience with ad serving and forecasting tools (DoubleClick, Yieldex, etc.) is desired.
Familiarity with the general digital advertising landscape including data collection, cookie matching, behavioral targeting, retargeting, real-time bidding, viewability and verification.
5–7 or more years of experience in management consulting, advertising, or interactive/technology consulting, with proven experience managing teams and projects
Strong project management and communication skills and a desire to work in a dynamic environment – you are crystal clear when it comes to delegating and providing feedback.
Applicant must have good presentation skill and feel comfortable to communicate effectively with all levels of management and partners from a variety of business functions. Ability to present fact-based recommendations in a clear, logical, and concise way; “tell a story” with data.
Intellectual curiosity and rigorous analytical experience and a strong familiarity with the digital environment
Knowledge of statistical modeling techniques, segmentation, research, lifetime value, and ROI.
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