Mgr, Customer Analytics @ Exemplis
Salary Range: $126,547.00 - $196,148.00 Position Summary: The Customer Analytics Manager turns first‑party data into insights that power sustainable growth for our DTC portfolio (Albany Park, Edloe Finch, X‑Chair, Mavix, Timbuk2). Leading a Customer Analyst and partnering with Marketing and eComm, you will build the dashboards, frameworks, and read‑outs that inform core decision-making. The role is hybrid out of our HQ in Cypress, CA and reports to the Director of Growth Marketing. Responsibilities and Essential Functions: Own the customer‑data roadmap and future centralized warehouse: set ingestion priorities, define schemas, and enforce data‑quality SLAs. Oversee, QA, and evolve marketing‑performance dashboards covering CAC, ROAS, LTV, cohort curves, and contribution margin. Lead design and analysis of lift tests and incrementality studies, translating findings into channel‑budget and offer recommendations. Build and iterate multi‑touch or geo‑based attribution models that balance statistical rigor with business usability. Partner with the Performance Marketing Manager to set measurement plans for new channels, audiences, and creative tests. Collaborate with the Lifecycle Marketing Manager on segmentation, churn prediction, and personalized‑offer scoring. Manage and mentor one Data Analyst; establish priorities, QA processes, and professional‑development plans. Present monthly insight read‑outs and opportunity backlogs to senior leadership. Evaluate and implement new analytics & tools that improve data capabilities. Qualifications, Skills and Education: Required Qualifications 5+ years of marketing or customer‑analytics experience in DTC or ecommerce. Deep understanding of advanced marketing-measurement frameworks (MMM, geo-incrementality, cross-channel attribution) and proven ability to apply them. Advanced proficiency in SQL and BI tools and data‑modeling for cloud warehouses. Proficiency in Python, R, or similar modeling languages for statistical analysis, forecasting, and machine-learning pipelines. Proven track record building attribution models and cohort‑based LTV analyses. Experience designing A/B or geo‑lift tests and communicating out results. Expectation of being in office 2-3 days a week along with core members of team. Preferred…
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