Future

Manager, Programmatic and Yield Analytics

Future

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Salary

💰 $94,000 - $125,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformNumpyPandasPMPPythonScikit-LearnSparkSQLTableauVBA

About the role

  • Lead a team of junior programmatic analysts, providing mentorship, guidance, and technical leadership
  • Develop advanced forecasting models and programs to improve predictive accuracy and operational efficiency for global programmatic operations
  • Design, execute, and perform in-depth post-experiment analysis for new media products, programmatic deal types, and partner integrations
  • Lead complex analytical projects including deep dives into signal uplift for 3rd party cookie reduction strategies and new market explorations
  • Lead strategy and implementation of enhanced reporting and automation solutions across the ad stack and business
  • Identify and pursue novel opportunities to use data sources for revenue generation and efficiency improvements
  • Manage revenue tracking and reporting systems across all programmatic streams, ensuring accuracy and providing strategic commentary
  • Serve as primary analytical partner to Sales, Ad Operations, Ad Product, and Business Intelligence teams, influencing departmental roadmaps
  • Report into the VP, Programmatic and promote data governance, data quality, and best practices

Requirements

  • 5+ years of experience performing in-depth data analysis within a digital media or programmatic advertising environment
  • 3+ years of experience managing junior analysts, with the ability to foster team growth and career progression
  • Expert-level proficiency with Excel/Google Sheets, including advanced modeling, pivot tables, complex conditional formulas, and VBA/Google Apps Script for automation
  • Advanced proficiency in Python (or similar programming language like R) for data manipulation, statistical analysis, and automation, experience with libraries such as Pandas, NumPy, and Scikit-learn
  • Demonstrated expertise with common data visualization and dashboarding tools (e.g., Looker, Looker Studio, Tableau, Power BI), experience developing interactive dashboards
  • Command of SQL for querying large datasets from multiple sources
  • Experience with statistical methodologies, experimental design (A/B testing), and causal inference
  • Experience independently framing complex business problems, design analytical solutions, and provide data-backed recommendations that result in measurable impact
  • Experience translating complex data and analytical findings into clear insights for all kinds of audiences, including executive leadership
  • Commitment to producing high-quality, accurate, and impactful analytical work
  • Solid experience implementing and interpreting Machine Learning (ML) / Artificial Intelligence (AI) models for applications such as time series forecasting, classification, clustering, and optimization
  • In-depth understanding of the programmatic advertising ecosystem, including SSPs, DSPs, ad exchanges, ad servers, multiple deal types (PMP, PG, Open Auction), and industry trends
  • Experience with cloud data platforms (e.g., Google Cloud Platform, AWS, Azure) and associated data warehousing technologies
  • Familiarity with web analytics platforms (e.g., Google Analytics)