Manager, Programmatic & Yield Analytics
- New York City, NY
- $94,000-125,000 per year
- Permanent
- Full-time
- Team Leadership & Mentorship:
- Develop a team of junior programmatic analysts, promoting their growth, refining their analytical skills, and ensuring high-quality output.
- Provide guidance, technical expertise, and leadership on complex analytical projects and methodologies to the team.
- Strategic Forecasting & Modeling:
- Develop advanced forecasting models and programs to improve predictive accuracy and operational efficiency for the global programmatic team and wider partners.
- Translate complex data models and projections into clear recommendations for senior leadership.
- Advanced Experimentation & Product Development:
- Take a lead role in the design, execution, and in-depth post-experiment analysis for new media products, programmatic deal types, and partner integrations, driving recommendations and influencing product roadmaps.
- Identify and advocate for new testing opportunities based on market trends, competitive analysis, and internal data.
- Analytics & Strategic Programs:
- Lead complex analytical projects, such as deep dives into signal uplift for 3rd party cookie reduction strategies or new market explorations, providing critical insights and guiding strategic planning.
- Identify new trends and develop analytical frameworks and solutions to address future challenges.
- Data Strategy & Automation Leadership:
- Lead the strategy and implementation of enhanced reporting and automation solutions across the ad stack and business, improving data transparency, accessibility, and operational efficiency.
- Promote best practices in data governance, data quality, and data hygiene within the team.
- Revenue Optimization & Innovation:
- Independently identify and pursue novel opportunities to use our data sources for substantial revenue generation and efficiency improvements.
- Lead the exploration and implementation of advanced programmatic strategies, including deep analysis of SSP/Header Bidding auction data to improve PMP pricing, bid request floors, and overall yield management.
- Comprehensive Revenue Oversight:
- Manage revenue tracking and reporting systems across all programmatic streams (e.g., PMP, PG, Open Auction), ensuring accuracy and providing strategic commentary and insights.
- Strategic Partnership:
- Be the primary analytical partner and subject matter expert to Sales, Ad Operations, Ad Product, and Business Intelligence teams, leading the execution of complex yield-related tasks and strategic programs, and influencing departmental roadmaps.
- Experience:
- 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.
- Technical Skills:
- 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, with experience in 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.
- Analytical & Strategic Experience:
- 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.
- Leadership Experience:
- Experience translating complex data and analytical findings into clear, and 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 (e.g., identity solutions, privacy regulations).
- 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).
- Uncapped leave, because we trust you to manage your workload and time
- When we hit our targets, enjoy a share of our profits with a bonus
- Refer a friend and get rewarded when they join Future
- Wellbeing support with access to our Colleague Assistant Programs
- Opportunity to purchase shares in Future, with our Share Incentive Plan