Yield & Analytics Specialist

The Yield and Analytics Specialist will play a critical role in the Managed Service Trading team by providing in-depth analysis of advertising and media trading performance, developing strategies to optimize yield, and supporting overall trading operations. The ideal candidate will have a strong background in quantitative analysis, advertising, media trading, and data-driven decision-making.

Key Responsibilities:

Performance Analysis:

• Analyze advertising and media trading performance and yield metrics across various platforms and channels.
• Develop and maintain comprehensive performance reports and dashboards.
• Identify trends, anomalies, and opportunities for yield optimization.

Data Management and Analysis:

• Collect, clean, and manage large datasets from multiple sources.
• Use statistical and machine learning techniques to analyze data and generate actionable insights.
• Ensure data accuracy and integrity in all analyses and reports.

Strategy Development:

• Collaborate with trading, sales, and technology teams to develop and refine media trading strategies.
• Use quantitative methods to test and validate new trading strategies.
• Provide recommendations for improving trading algorithms and models.

Risk Management:

• Monitor and assess risk exposure across media trading portfolios.
• Develop and implement risk mitigation strategies.
• Provide regular updates on risk metrics and potential impacts to the trading team.

Collaboration and Communication:

• Work closely with traders, analysts, and other stakeholders to understand their analytical needs.
• Present findings and recommendations to senior management and stakeholders.
• Collaborate on cross-functional projects and initiatives.

Continuous Improvement:

• Stay updated on industry trends, best practices, and technological advancements.
• Continuously seek ways to improve processes, tools, and techniques used in yield and analytics.

Qualifications:

• 2+ years of experience in a quantitative analysis role, preferably in advertising or media trading.
• Strong proficiency in data analysis tools and programming languages such as Python, R, SQL, and Excel.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of advertising platforms, media trading strategies, and risk management principles.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience with programmatic advertising and digital media trading strategies.
• Familiarity with audience segmentation and targeting techniques.