Senior Manager of Consumer Revenue Analytics, Condé Nast

• Bachelor’s degree in Analytics, Statistics, Data Science, Business or a related field or equivalent work experience
• 3+ years of proven experience in marketing analytics, consulting, financial analysis or growth marketing analytics
• Excellent communication skills, including synthesis, presentation and storytelling
• Understanding of a P&L, and financial forecasting
• Advanced SQL, Python, or R to extract, manipulate and model data
• Deep understanding of database technologies, specifically relational databases, data warehousing, or other database query tools and languages
• Advanced data modeling skills and basic knowledge of analytics engineering processes and tools

Desirable

• Lead delivery of subscription performance narrative across brands and strategic implications across cross-functional teams
• Lead retention and revenue reporting, consumer KPI management (forecasting, templates, benchmarking)
• Find opportunities for automation in reporting and analysis processes and develop innovative solutions to improve efficiency and accuracy
• Prepare executive reports and contribute to weekly status updates and cross-departmental presentations, and provide key inputs into weekly and monthly leadership updates
• Build and automate statistical models to generate critical insight, form strategy, and influence senior partners
• Establish and identify marketing goals; define measurable objectives and key results and critical metrics for the business and create tools and reports to ensure accurate and continued measurement

• If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile