Business Data Analyst at Thenewyorktimes

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 an analyst who is can dive into our advertising analytics and optimization challenges in our digital advertising business. As a Business Data Analyst, you will serve the Advertising and Sales teams by analyzing our products and their supporting data sources, using insights to help innovate and improve our sales efforts. You will partner with Ad Product, Sales, Revenue Operations, Sales Operations, and Finance to provide sales performance and trend insights. You will report into our Manager, Business Analytics. Responsibilities: • You will analyze advertising and sales datasets to optimize overall performance. Develop, monitor, and analyze performance through dashboards and provide strategic optimization alerts and recommendations. • You will provide important business insights and actionable analysis to Sales, Advertising, and Product leadership based on performance trends • You will manage daily ad performance and sales requests from Ad Product, Sales, and Finance teams, providing product recommendations, inventory trends, or alternative options. • You will engage with data engineering and other analytics teams to develop new data pipelines and datasets and ensure data governance. • You will translate high-level business questions into insights to lead rapid decision-making. • You will help establish requirements for analytics tools and reporting dashboards. • You will investigate and reconcile data discrepancies between different ad-servers, internal databases, and financial reporting systems. • You will develop quantitative analysis and statistical models to support advertising decisions. • You will monitor NYT properties to ensure ads are delivering as expected • 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. Basic Qualifications: • Advanced SQL proficiency • Advanced Excel Proficiency (Pivot Tables, XLOOKUP, Complex Formulas) • 2+ years experience in a quantitative field or equivalent educational experience • 1+ years of experience working with both business and technical (IT) teams Preferred Qualifications: • 1+ years of experience with Data Visualization tools (Tableau, PowerBI, Mode, or Looker) • Knowledge of Python for statistical analysis • 1+ years of experience in digital advertising • 1+ years of experience using BigQuery and Google Ad Manager • BA/BS in Economics, Statistics, Mathematics, or related field REQ-020003 The annual base pay range for this role is between:$75,000—$85,000 USDFor roles in the U.S., dependent on your role, 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. The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, 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. 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