Analyst, Revenue Analytics & Strategy

Condé Nast • New York, NY

17h • $77,000 - $90,000

About The Position

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Job Description Location: New York, NY Title: Analyst, Revenue Analytics & Strategy Reports to: Director, Revenue Analytics & Strategy Condé Nast seeks an intellectually curious individual eager to dive into various digital advertising analytics and optimization challenges in our multi-brand advertising business. The Analyst, Revenue Analytics & Strategy will primarily serve the Revenue and Digital Operations team by becoming a team expert in querying data transfer files, automating existing reporting across the Pricing, Monetization, & Yield (PMY) Team, analyzing advertising revenue and performance, standing up a new Business Intelligence tool with new dashboarding, and measuring and pitching creative revenue-driving strategies.

Requirements

• BA/BS degree in Business, Economics, Mathematics, Computer Science, or equivalent practical experience
• 1-3 years of digital advertising, yield, or analytics experience
• Experience with Excel and SQL, or additional programming languages of choice
• Quantitative and analytical skills with the ability to clearly synthesize datasets
• Strong oral and written communication skills
• Self-driven with ability to multi-task and work with minimal supervision in a deadline-oriented environment

Responsibilities

• Use SQL and various Business Intelligence tools to leverage insights from multiple sources and provide datasets and findings within the larger PMY and Digital teams.
• Develop and maintain a clear understanding of ad server data transfer files.
• Collect, maintain, and organize logic for all advanced digital sales channels (Programmatic SSP) data.
• Become an expert in our digital ad auction technologies and associated data to make price flooring recommendations and provide analytical support.
• Assist in data cleaning and normalization to build out efficient and accessible datasets, dashboards, and data warehouses.
• Identify trends in product performance or buyer behavior that provide new insights to our Sales and Revenue teams.
• Analyze data and trends to help support overall yield and revenue strategy.
• Provide analytical support to Programmatic teams by leveraging data transfer data to measure complex Programmatic initiatives.
• Assist with regular reporting and dashboarding to monitor the health of our Digital revenue business.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 1,001-5,000 employees