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Performance Marketing Specialist
PresencialTiempo completoPerformance MarketingRetailSporting Goods Manufacturing
Lead multi-channel performance marketing for owned eCommerce channels across emerging markets. Manage paid media strategy, budgets, optimization, analytics, forecasting, agency collaboration, and audience growth.
Responsabilidades
- Develop and implement the performance marketing roadmap across Paid Search, Programmatic Display, Paid Social, Audience Management, and Affiliate Marketing
- Allocate and phase paid media budgets across channels, markets, and campaigns
- Lead optimization, testing, reporting, and analysis to improve revenue, ROI, ROAS, and customer acquisition
- Coach cluster teams and agency partners against performance targets
- Manage media agency collaboration and third-party partner relationships
- Coordinate with brand, eCommerce, retail, creative, and digital marketing stakeholders
- Oversee audience consolidation across touchpoints and analyze user journeys across web and app channels
- Plan budgets, revenue forecasts, and performance reviews on monthly, quarterly, and yearly cycles
- Manage content, localization, and feed-management partners
- Review and approve third-party vendor invoice reconciliations
- Monitor channel best practices and implement relevant platform features
Requisitos
- Bachelor’s or master’s degree
- At least 3 years of relevant digital marketing or PPC experience
- Experience planning, forecasting, and managing large multi-channel budgets across markets and campaigns
- Strong knowledge of audience management, analytics, reporting, and optimization
- Experience managing high-volume Paid Search and Programmatic campaigns
- Ability to lead digital marketing activity across multiple channels, markets, and languages
- Experience coaching teams and managing third-party partners
- Working knowledge of Google Ads, Campaign Manager, Adobe Analytics, Google Analytics, Facebook Advertising, and programmatic buying
- Professional written and spoken English
Se valora
- Experience with attribution modeling