Pricing and Revenue Optimization Analyst
$75k - $85kThe-New-York-Times
Pricing and Revenue Optimization Analyst New York, NY The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role, Mission or Department Overview The New York Times is looking for a curious analyst to dive into advertising analytics and the optimization challenges in our digital and print advertising business. As our Business Data Analyst, you will serve the Advertising and Sales teams. You will analyze our products and their supporting data sources, using insights to help innovate and optimize our sales efforts. Additionally, you will oversee print advertising, pricing strategy, and discounting approvals. You will partner with Ad Product, Sales, Revenue Operations, Sales Operations, and Finance to provide sales performance, trend insights, and print pricing strategies. You will report to the Manager, Business Analytics. Responsibilities Analyze advertising and sales datasets to optimize overall performance, building and monitoring dashboards that provide strategic optimization alerts and recommendations. Manage ad hoc reporting requests from across the ad sales team and partners, including campaign management, sales planning, and sales operations. Provide key business insights and actionable analysis to Sales, Advertising, and Product leadership based on performance trends. Manage pricing strategy for all print products, including approving discounts and price optimization. Work with print plant leadership to track print advertising costs vs. revenue and lead print advertising profitability. Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications 1+ years of experience in a yield role Advanced Excel proficiency (Pivot Tables, XLOOKUP, complex formulas) 1+ years of experience with data visualization tools (Tableau, PowerBI, Mode, Looker) 1+ years of experience working with both business and technical (IT) teams Preferred Qualifications BA/BS in Economics, Statistics, Mathematics, or related field The annual base pay range for this role is between $75,000 and $85,000 USD. For roles in the U.S., you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company‑matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. Equal Employment Opportunity The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. We embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectionate 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 provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email View email address on click.appcast.io. #J-18808-Ljbffr The-New-York-Times
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