Subscription Analytics & Growth Manager

Condé Nast; New York (NY); In loco; USD 110.000 - 125.000; Tempo pieno

Descrizione del lavoro

Condé Nast in New York is seeking a Manager to analyze and improve performance across our consumer subscription business. You will track orders, conversion, retention, LTV, ARPU, and related metrics, turning findings into clear insights for marketing and business teams.

This role emphasizes business outcomes over data engineering, collaborating with analytics partners, and providing data for budgeting and forecasting.

Competenze

• 3+ years in marketing analytics, growth analytics, subscription analytics, business performance, or a related field.
• Solid understanding of operating metrics and economics of customer acquisition; subscription experience preferred.
• Experience interpreting KPIs, identifying trends, and investigating drivers.
• Bachelor’s degree in Business, Marketing, Economics, Finance, Analytics, or related field.

Mansioni

• Monitor and analyze subscription orders, conversion rates, channel mix, CAC, retention, LTV, ARPU, and other KPIs across brands and channels.
• Track performance against acquisition and retention targets and highlight variances and drivers.
• Prepare weekly and monthly reporting with concise explanations of changes and recommended actions.
• Collaborate with Growth, Paid Marketing, CRM, Site, Brand, Finance, Operations, and data teams to answer business questions.

Conoscenze

Marketing analytics

Subscription analytics

KPI interpretation

SQL

Excel/BI tools

Data storytelling

Formazione

Bachelor's degree

Strumenti

SQL

Python/R

Descrizione del lavoro

Condé Nast in New York is seeking a Manager to analyze and improve performance across our consumer subscription business. You will track orders, conversion, retention, LTV, ARPU, and related metrics, turning findings into clear insights for marketing and business teams.

This role emphasizes business outcomes over data engineering, collaborating with analytics partners, and providing data for budgeting and forecasting.