Senior Manager, Consumer Analytics

Condé Nast Germany•New York, NY

1d•$130,000 - $145,000

About The Position

Condé Nast is seeking a Senior Manager to evaluate and improve performance across its consumer subscription business. The role focuses on understanding the metrics that drive subscriber acquisition, retention, and economics; identifying the factors behind performance; and translating findings into clear, actionable recommendations. It requires strong business judgment and an understanding of how customer acquisition economics connect volume, conversion, marketing investment, customer value, and profitability. This is a business-oriented analytics role rather than primarily a data engineering or advanced modeling position. The Senior Manager will partner with analytics and data teams to access and validate information, while owning the business questions, interpretation of results, and implications for decisions. The position reports to the Vice President of Consumer Analytics and is located in New York, NY.

Requirements

At least 5 years of experience in growth analytics, marketing analytics, subscription analytics, business performance, or a related field.
Demonstrated understanding of the economics and operating metrics of a customer acquisition business.
Ability to identify important business KPIs, interpret the factors driving their movement, and recommend actions based on findings.
Strong working knowledge of conversion rates, customer acquisition cost, lifetime value, retention and churn, revenue per subscriber, and channel performance.
Experience working with marketing, growth, finance, or commercial teams to translate performance analysis into decisions.
Strong analytical reasoning and comfort working with data in spreadsheets and business intelligence tools.
Ability to assess data quality and partner effectively with technical teams.
Excellent written and verbal communication skills, including the ability to present focused performance narratives to senior stakeholders.
Bachelor’s degree in Business, Marketing, Economics, Finance, Analytics, or a related field, or equivalent practical experience.

Nice To Haves

Subscription experience.
Hands-on experience with SQL, statistical modeling, Python, or R.

Responsibilities

Identify and prioritize key metrics that explain subscription growth and customer acquisition performance across brands and channels.
Analyze subscriber orders, conversion, channel mix, acquisition costs, retention, lifetime value, average revenue per user, and related economics to understand performance drivers.
Distinguish underlying performance changes from shifts in mix, timing, pricing, promotions, or measurement.
Spot trends, emerging issues, and opportunities; develop hypotheses and recommend where deeper investigation is warranted.
Assess trade-offs among subscriber growth, acquisition efficiency, customer quality, and long-term value.
Support acquisition and retention forecasts, annual budgeting, and periodic reforecasting by evaluating assumptions and performance drivers.
Partner with Growth, Paid Marketing, CRM, Site, Brand, Finance, and Operations teams to assess performance against targets and explain variances.
Evaluate campaign, channel, pricing, promotional, and conversion initiatives in terms of incremental customer orders and business impact.
Help establish practical KPI definitions and measurement approaches for consistent, decision-useful reporting.
Develop weekly and monthly performance narratives focused on what changed, why it changed, and what action may be needed.
Translate complex analysis into concise findings and recommendations for marketing and business leaders.
Frame analytical questions, define data requirements, and work with data and technical analytics partners to obtain reliable answers.
Constructively challenge assumptions and identify when metrics, analyses, or conclusions may be misleading.