Manager Marketing Analytics-CNN Digital Products & Services
Warner Bros. Discovery - Atlanta, Georgia, United States, 30383
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Manager Marketing Analytics-CNN Digital Products & Services
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Warner Bros. Discovery Manager Marketing Analytics-CNN Digital Products & Services
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Manager Marketing Analytics-CNN Digital Products & Services
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Warner Bros. Discovery Get AI-powered advice on this job and more exclusive features. CNN is seeking a Manager of Marketing Analytics who will be instrumental in CNN’s efforts to expand its digital footprint. This individual should be self-motivated, work well independently and as part of a team, and be passionate about what they do. The Manager will be a core member of the data analytics team and report to the Director of Growth Analytics. Responsibilities include partnering closely with growth marketing to maximize the impact of paid and organic campaigns around acquisition and retention of new subscription and vertical products; leading analytics for a newly emerging portfolio of digital lifestyle products built for CNN customers; creating forecasts and targets for marketing initiatives and new lines of business in collaboration with partners and executives; managing a small team of analysts to partner cross-functionally across Growth, Product, Strategy, and other teams; proactively developing the analytics roadmap for both new products and marketing initiatives; and partnering with other analytics teams to provide a holistic view of CNN for leadership. Qualifications include 5+ years in analytics, experience mentoring or managing junior team members, marketing analytics experience particularly in campaign analysis, strong knowledge of digital and product analytics, experience partnering with cross-functional leaders, strong communication skills, expertise in SQL, and experience with BI tools such as Tableau, Looker, or PowerBI. Nice-to-haves include a BA/BS degree in a quantitative field, experience in start-up environments, experience with marketing impact assessment methods, digital news analytics experience, experience leading a small team, and knowledge of data science programming languages like Python and R. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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