Overview

We are seeking a Direct Marketing Analytics Manager to join our Acquisitions team to optimize investment in Norton and LifeLock acquisition campaigns. This role will provide end-to-end analytical support to direct marketing campaigns and work with the corresponding execution partners to identify profitable target audiences and maximize response rates. Develop, enhance, validate, monitor, and coordinate implementation of quantitative models to support campaign targeting, sales forecasting and or other business applications. Run extensive customer transaction data queries across large volumes of data, multiple data extensions, and campaign history. Prepare experimental designs and apply randomization techniques to ensure unbiased statistical readings in marketing campaigns. Employ expert knowledge of BI applications to enhance, automate, and ensure data quality of periodic performance reports and dashboards. Coordinate with internal and external partners to manage target list selection, data management, and performance reporting. Analyze marketing campaigns providing preliminary and final (post mortem) interpretation of results to improve future strategies. Acquire data from primary or secondary data sources and maintain databases/data systems. Develop ad-hoc reports and analyses as requested by the marketing team or other stakeholders.
5 years of experience with analytics (knowledge of data mining algorithms, techniques (decision trees, ensemble learning, clustering, association rule mining etc.) and problem areas (churn prediction, segmentation, forecasting, attribution rules etc.) Knowledge of statistical techniques including regression, experimental design, hypothesis testing and the application of ML algorithms Hands-on experience in using SQL, R, SAS or an equivalent background in coding. Understanding of the digital marketing landscape (SEM, Email, Affiliate, Display, Content, Mobile, etc.) Able to present your findings effectively and persuasively. Prior experience in direct marketing acquisition preferred.


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