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Dotdash Meredith

Programmatic Specialist

Posted 11 Days Ago
Hybrid
New York, NY
Junior
Hybrid
New York, NY
Junior
The Yield and Analytics Specialist analyzes advertising and media trading performance, develops optimization strategies, manages data, and collaborates on cross-functional projects. Responsibilities include performance analysis, strategy development, risk management, and continuous improvement to enhance trading operations and insights.
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The Programmatic Specialist will play a critical role in the D/Cipher 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 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.

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.

Required Experience:

  • 2-4 years of experience in a quantitative analysis role
  • 2-4 years of experience in advertising
  • 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 and media trading strategies
  • 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.

Top Skills

Python
R
SQL

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