Broadcast Technician jobs in Seattle, WA

We're looking for a skilled Monetization Data Analyst to join our Product Engineering team at Sinclair. In this role, you'll be instrumental in crafting and implementing monetization data strategies, utilizing data-driven insights across multiple platforms including GAM (Google Ad Manager), GA4 (Google Analytics 4), GA360 (Google Analytics 360), various Programmatic UIs, and other revenue platforms. Reporting directly to the Director of Data Strategy, your contributions will be pivotal.

Responsibilities:

• Conduct in-depth monetization analysis across multiple platforms, identifying opportunities for revenue, revenue shortfalls, revenue risks, optimization, and cost-efficiency improvements
• Collaborate with cross-functional teams, including Product Managers, AdTech, Engineers, and Sales, to define and implement monetization strategies using data driven methods
• Utilize data from GAM, GA4, GA360, Programmatic UI, and other revenue platforms to develop actionable insights and recommendations, through throughout reporting, visualizations, annotations, etc.
• Analyze user behavior, ad performance, and revenue trends to provide valuable insights for decision-making
• Create and maintain dashboards and reports to track key performance indicators (KPIs) related to monetization efforts.
• Perform A/B testing and provide data-driven recommendations to improve ad placements, pricing models, and audience targeting.
• Monitor revenue performance, identify anomalies, and proactively address issues to ensure optimal revenue generation.
• Stay up to date with industry trends and best practices in AdTech and monetization analytics.

Qualifications:

• Bachelor's degree in data science, Computer Science, Statistics, Economics, or a related field.
• Proven experience (2-3 years) working as a Data Analyst, preferably in the AdTech or digital advertising industry.
• Experience utilizing Tableau and BigQuery
• Strong proficiency in utilizing DFP/GAM, GA4/GA360, Programmatic UI, and other ad revenue platforms for data analysis
• SalesForce UI proficiency is a plus
• JIRA proficiency is a plus
• 1^st Party and 3^rd party data familiarity
• Proficiency in data manipulation, visualization, and analysis using SQL, Python, R, or similar tools.
• Familiarity with statistical modeling and predictive analytics to derive actionable insights.
• Experience in designing and interpreting A/B tests for ad performance optimization.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Strong problem-solving abilities and a keen eye for detail.
• Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously.