Anthropologie Associate Manager, Analytics

About the Role

Key Responsibilities

• Support the design and deployment of MMM and MTA frameworks in partnership with external vendors to evaluate marketing impact across channels.
• Conduct in-depth performance analyses to understand incremental lift, optimize spend, and inform strategic decisions.
• Analyze cohort behavior to understand how acquisition sources, messaging, and timing impact customer retention and lifetime value.
• Collaborate with data science and marketing teams to improve attribution accuracy and align modeling efforts with business goals.
• Maintain and advise on models linking long-term KPIs (e.g., CPA, LTV, ROAS) to short-term marketing performance indicators.
• Design and implement dashboards visualizing the relationship between marketing activities and downstream metrics like CPA, LTV, and churn.
• Work with paid media teams to guide channel planning, budget forecasting, and testing strategies.
• Assist in evaluating data sources and defining requirements to support attribution efforts.
• Contribute to the evolution of measurement strategy, including integrating AI-powered tools to surface insights and accelerate workflows.
• Collaborate with finance and growth teams to align marketing spend with profitability goals using predictive analytics.
• Test and validate hypotheses around marketing strategy changes using A/B testing and causal inference techniques.

Requirements

• 3-5+ years of experience in marketing analytics or related data roles, with direct exposure to attribution modeling.
• Strong understanding of MMM, MTA, and marketing performance metrics such as CPA, ROAS, and LTV.
• Experience working with statistical modeling tools or collaborating with data science teams on model development.
• Proficiency with SQL and BI platforms like Looker, Tableau, or Power BI.
• Comfortable working with large, complex datasets and interpreting results in a marketing context.
• Strong communication skills — able to explain analytical concepts to non-technical stakeholders.

Nice to Have

• Experience with AI-powered tools for insights and analysis workflows.
• Knowledge of causal inference techniques and hypothesis testing in marketing.
• Experience with marketing performance measurement and analytics tools.

Qualifications

• Educational background is not explicitly specified, but relevant experience in marketing analytics is required.

Benefits & Perks

• Medical, dental, and vision insurance.
• Paid time off and generous employee discounts.
• Retirement savings options.
• Additional benefits as offered by URBN.