Global Lifecycle Marketing Analytics

Global Lifecycle Marketing Analytics at Adecco Global Lifecycle Marketing Analytics at Adecco in West New York, New Jersey Posted in 5 days ago.

Type:

full-time

Job Description:

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