Revenue Analytics Analyst
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Note for US based roles: Any offer of employment is contingent on providing proof of Covid-19 vaccination prior to your start date, subject to approved medical and/or religious exemptions, in accordance with applicable law.
The New York Times is seeking an intellectually curious individual who is eager to dive into the various advertising analytics and optimization challenges in our digital advertising business.
The Revenue Analytics Analyst will serve the Advertising and Ad Innovation teams by analyzing our suite of products and their supporting data sources, using insights to help innovate and optimize our sales efforts. This analyst will partner with Ad Product, Ad Operations, Sales Planning, and Sales to provide sales performance and trend insights.
Analyze advertising performance to optimize ad product experiences. Develop, monitor and analyze performance through campaign dashboards and readouts, provide strategic optimization alerts and recommendations.
Manage daily inventory and performance requests from Ad Product, Sales, and Sales Planning teams, providing product recommendations, inventory trends, or alternative options.
Engage broader Operation and Ad Innovation teams and inventory suppliers on issues, trends, and potential issues.
Help define and develop requirements for analytics tools and reporting dashboards.
Provide key business insights to senior sales and advertising operations leadership based on sales performance trends. Visualize key metrics on an ongoing basis to communicate out to product, sales, and exec teams.
Partner and provide thoughtful and actionable analysis to Ad Innovation and Product teams as a Revenue Analytics analyst.
Collaborate with cross functional groups including Ad Product, Ad Operations, Sales Planning, and Sales to identify key product opportunities.
Develop quantitative analysis, ad hoc reports, models, and A/B tests to support advertising decisions.
Conduct ad hoc analysis to provide guidance to engineering around bugs and issues.
Education: BA/BS in Economics, Statistics, Mathematics, or related field
Experience with the following tools preferred: Tableau, Salesforce, Einstein, BigQuery, BusinessObjects, or Google Ad Manager
2-4 years post-collegiate work experience in a quantitative field or equivalent educational experience
Previous product analytics experience in digital advertising preferred
Candidates with experience in top-tier management consulting, investment banking, online advertising, or marketing analytics organizations with technology focus strongly preferred
Strong analytical skills and ability to clearly synthesize large dataset into key insights
Excellent time management and attention to detail
Comfortable in fast-paced and changing environment
Excellent written and communication skills
The New York Times is committed to a diverse and inclusive workforce, one that reflects the varied global community we serve. Our journalism and the products we build in the service of that journalism greatly benefit from a range of perspectives, which can only come from diversity of all types, across our ranks, at all levels of the organization. Achieving true diversity and inclusion is the right thing to do. It is also the smart thing for our business. So we strongly encourage women, veterans, people with disabilities, people of color and gender nonconforming candidates to apply.
The New York Times Company is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The New York Times Company will consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local "Fair Chance" laws.