Manager, Insights and Analytics
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Office: New York, NY Department: Data Capabilities Job Description p]:text-b2 [&_ul]:my-3 [&_ol]:my-3 [&_ul]:list-none [&_ol]:pl-7 [&_ol]:pb-6 [&_li]:my-0 [&_li]:pb-1.5 [&_li:last-of-type]:pb-0 [&_li]:relative [&_li]:pl-6 [&_li]:before:absolute [&_li]:before:content-['—'] [&_li]:before:left-0 [&_li]:before:top-0"> 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 The New York Times advertising department is looking for a strategic and data-driven Manager of Insights & Analytics to transform our vast data resources into compelling narratives that explain the unique value of our platform and products. You will be a central hub of knowledge, using deep analysis of our audience and ad products to empower our Sales, Strategy and Product teams. You will synthesize complex, large-scale datasets to unearth the "why" behind the numbers, creating stories that showcase the strength of our diverse product portfolio—from News and The Athletic to Cooking, Games and Wirecutter. You will be a perfect fit if you are a curious and detail-oriented analyst who excels at cross-functional collaboration and is eager to shape how The New York Times goes to market. You will report to the Director, Measurement in the Audience and Insights Group. Responsibilities- You will lead meta-analyses that merges first-party and third-party data sources to create unified, powerful narratives about The New York Times advertising platform and its audience.
- You will monitor datasets to identify emerging trends, package them into actionable insights, and communicate findings to support go-to-market strategies and client conversations.
- You will translate complex analytical findings into concise presentations for all kinds of stakeholders, including senior leadership.
- You will perform ad hoc analysis using SQL, Tableau, Mode, and other analytical tools to answer critical business questions from Sales, Strategy, and Measurement teams.
- You will maintain the usage of our insights dashboards, developing a roadmap for optimization and expansion based on departmental needs and user behavior.
- You will contribute to the development of new measurement capabilities, metrics, and frameworks that measure the value of our evolving suite of advertising products.
- You will be a primary liaison between the Audience Strategy team, Pre-Sales and Sales functions, embedding rich audience data and insights directly into the sales process to unlock and close new advertising opportunities.
- You will collaborate with internal data-focused stakeholders such as Engineers, Data Scientists and Measurement teams to understand the full scope of available data, ensuring insights are robust, accurate, and strategically aligned.
- You will 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.
- 5+ years of experience in data analytics, media insights, ad tech, or a related quantitative field.
- Moderate experience with SQL
- Expertise in creating compelling narratives and visualizations using data visualization tools such as Tableau, Mode, Looker, or similar platforms.
- 1+ years of experience translating complex data into actionable insights and strategic recommendations for non-technical audiences.
- 1+ years of experience working directly with sales or client-facing teams.
- 1+ years of experience in the digital advertising, publishing, or media industry
- 1+ years of experience with a statistical programming language (e.g., Python, R) for data analysis
- Familiarity with cloud data environments (e.g., Google BigQuery, Snowflake)
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