Apply📍 United States
💸 70000.0 - 90000.0 USD per year
🔍 Digital Advertising
- Bachelor’s degree in Business, Economics, Marketing, Data Science, or a related field.
- 1–3 years of experience in analytics, candidates in digital advertising preferred
- Proficiency in analytics tools (e.g., Google Analytics, Tableau, Excel).
- Provide stakeholders with 100% placement-level data visibility by building reports to provide key performance metrics across different ad types, categories, and client KPIs.
- Increase average revenue per landing page by 15% by creating critical weekly reporting paired with data-driven insights and recommendations
- Review unfulfilled budgets to identify common factors and offer visibility into adjustments needed to support full delivery.
- Reduce revenue-impacting issue resolution time by 50% by implementing a system to oversee the identification and resolution of issues impacting monetization KPIs.
- Regularly review client performance data (GPM, C2C and KPI's) to drive support for media mix to maximize KPIs
- Build and manage reporting on different ad types, content categories at the placement level for client KPIs, impressions, clicks, CTR, CTC, revenue, cost
- Build and manage reports on each client KPI: eCPA, account opened, account funded, bank CPM.
- Compare actual revenue performance against forecasts to identify variances and refine forecasting models.
- Build and manage reports to review monetization by landing page and offer, month-over-month, compare to rankings decisions and provide insights into a ranking structure to improve monetization.
- Review unfulfilled budgets from YTD to identify common factors and propose adjustments (pricing, CTR, targeting, ect.) to support full delivery.
- Investigate and resolve discrepancies in reporting, campaign delivery, and platform integrations.
- Actively monitor trends to identify opportunities to maximize revenue.
- Build data-driven forecasts and models to anticipate future trends and needs.
- Prioritize tasks based on impact and urgency, focusing on initiatives that drive the highest returns.
- Conduct in-depth analysis of advertising performance, understanding patterns, and identifying actionable insights.
- Communicate complex data findings in a clear, concise, and actionable way to stakeholders.
- Oversee daily monetization KPIs and ensure rapid identification and resolution of issues within the ad stack.
SQLData AnalysisGoogle AnalyticsTableauCommunication SkillsAnalytical SkillsMicrosoft ExcelProblem SolvingRESTful APIsReportingBudgetingData visualizationFinancial analysisData modelingData analyticsData management
Posted about 3 hours ago
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