Global Lifecycle Marketing Analytics

Adecco Creative is partnering with a luxury fashion house to recruit for a Global Lifecycle Marketing Analytics role. This position will be temp to perm and a hybrid schedule in Midtown Manhattan. Proficiency in SQL is a must. Key Responsibilities: • Own the measurement framework for global email and SMS, aligned to brand’s intent-led lifecycle model (See / Think / Do / Care) • Define and operationalize KPIs by lifecycle stage and customer intent (e.g., engagement, conversion, repeat purchase, reactivation) • Measure performance of triggered, behavior-based programs (browse, cart, post-purchase, win-back) and identify opportunities to improve results • Analyze customer movement across lifecycle stages and quantify drivers of acquisition, engagement, retention, and reactivation • Build reporting that tracks both campaign performance and list health (growth, engagement, churn, reactivation) • Partner with Lifecycle Marketing to prioritize and evaluate tests (targeting, timing, content, channel) and scale what works • Quantify the impact of lifecycle marketing on revenue and efficiency, including its role in reducing reliance on paid media • Apply advanced analytics and AI (e.g., propensity models, recommendations, send-time optimization) and measure their incremental impact • Partner with Data Science, Martech, and Engineering to ensure accurate tracking, clean data, and scalable measurement solutions • Communicate insights clearly and tie findings directly to actions and business outcomes Qualifications: • 5+ years of experience in lifecycle marketing analytics, CRM analytics, or a related field • Deep experience measuring and optimizing email and/or SMS programs at scale • Strong proficiency in SQL and experience working with large, complex datasets • Experience building dashboards and reporting in tools such as Tableau or Looker • Proven experience designing and analyzing experiments (A/B testing, holdouts, incrementality) • Strong understanding of lifecycle metrics (engagement, conversion, retention, churn, LTV) • Experience using AI-powered tools to improve analytical efficiency, insight generation, or decision-making • Experience applying or evaluating AI/ML in marketing (e.g., propensity models, recommendations, send-time optimization) • Ability to translate analysis into clear actions and business impact • Experience partnering cross-functionally with marketing, data science, and engineering teams • Strong communication skills with the ability to influence non-technical stakeholder