Responsibilities

• Own weekly, monthly, and quarterly reporting on paid channel KPIs (Paid Social, Paid Search, Display, and more), including international markets; build and maintain dashboards for channel leads and senior leadership
• Partner with the data team to ensure marketing data flows accurately into the data warehouse, and help maintain tracking and tagging (GA4, pixels, UTMs) across paid channels and the site
• Identify opportunities to apply AI and automation to reporting, forecasting, and analysis workflows, piloting new tools and sharing best practices with the team
• Analyze performance trends, audience behavior, and conversion funnels across paid channels, evaluating ROI and attribution to inform strategy and recommendations
• Partner with our Data Scientist and other stakeholders to design and execute a testing roadmap (creative, audience, bidding, channel-mix), applying sound testing methodology and translating results into optimization recommendations
• Support ad hoc analysis of campaign tests and performance questions from across the business, translating findings into clear recommendations via PowerPoint, Excel, and dashboards for technical and non-technical audiences
• Partner with Finance and cross-functional stakeholders to support budgeting, forecasting, and spend pacing for paid performance channels, triangulating forecasts, aligning on KPIs, and flagging variances as needed
• Prepare budget and spend summaries for Finance and marketing leadership, reconciling reported spend with actuals and agency invoices, and support annual/quarterly budget planning

Requirements

• Bachelor’s degree in a quantitative or related field (Marketing, Business, Statistics, Economics, or similar) preferred
• 3–5 years of experience in digital marketing analytics, web analytics, or a related analytical role
• Strong SQL skills and experience querying a cloud data warehouse (BigQuery preferred); advanced Excel proficiency, additional coding languages a plus
• Experience building dashboards in tools such as Power BI, Tableau, or Sigma Computing
• Familiarity with ad platform analytics (Google Ads, Meta) and/or CRM/CDP platforms
• Curiosity about applying AI tools (e.g., ChatGPT, Claude) to improve workflows
• Hands-on experience with Google Analytics (GA4), tag management, and campaign tracking/attribution is a plus
• Strong communication skills and excellent attention to detail, with the ability to manage multiple projects simultaneously
• Preferred: experience in luxury, fashion, or retail environments, and exposure to global or multi-market marketing

Benefits

• comprehensive benefits package
• short-term incentive program
• clothing allowance
• merchandise discounts