Lead Staff Business Intelligence Analyst

The Trade Desk is changing the way global brands and their agencies advertise to audiences around the world. How? With a media buying platform that helps brands deliver a more insightful and relevant ad experience for consumers –– and sets a new standard for global reach, accuracy, and transparency. We are proud of the culture we have built. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.

Founded by the pioneers of real-time bidding (RTB), The Trade Desk has become the fastest growing demand-side platform (DSP) in the industry, allowing advertisers to reach their audiences - wherever they are on the open internet – in meaningful and relevant ways. 

Our platform handles tens of million queries per second (and growing!) from all over the world – that's more page views and queries than Facebook, Google Search, and Google's entire network of websites combined – all serviced in single-digit-ms response times.

Some questions for you:  Are you interested in driving a culture of data-driven decision making at the leading advertiser-focused company supporting the open internet? Are you up for applying your strong quantitative analysis and predictive analytics skills to tackle complex and impactful problems?

If this sounds of interest to you, and you’re talented, driven, creative, and hungry to bring something entirely new and wildly ambitious into the world (and have some fun doing it), then we want to talk.

What we do:

The Lead Staff Business Intelligence Analyst is a primary contributor and leading subject matter expert on the Business Intelligence team, driving a culture of data-driven decision making at The Trade Desk for teams as widely varying as Client Services, Finance, Product, Technology, Marketing, People, Legal, and Sales.  

This role requires working cross-functionally to understand evolving business needs deeply. You will be responsible for designing and developing insights capabilities, presentations, and models to guide the strategic decision making of senior and executive stakeholders. You will also be expected to use advanced analytics techniques to surface insights, guide business decisions, and proactively identify opportunities and threats. 

What you’ll do: 

• Surface insights from multiple data sources to support complex operational decision making. Execute and/or coordinate critical, advanced analytics initiatives providing an interpretation of findings and the implications to The Trade Desk
• Define, build, and govern the semantic layer (e.g., dbt, Power BI tabular models) that exposes business‑friendly metrics and hierarchies; drive versioning, automated testing, and documentation standards.
• Establish and steward the organization’s metric catalog (single source of truth) including metric definitions, owners, guardrails, and change‑management processes.
• Develop solutions that deliver critical data-driven insights and decision metrics proactively and at scale.
• Participate in and lead cross-functional teams whose members include Marketing, Sales, Operations, Product, Technology, People Analytics, and Finance
• Develop strong, professional, and collaborative working relationships among BI team leadership and with key stakeholders
• Provide transformational thought leadership for analytics including advanced data modeling, predictive modeling, and analytical techniques. 
• Perform people management and other duties as assigned

Who you are: 

• Master’s degree in a quantitative or scientific field (Economics, Finance, Statistics, Mathematics, Computer Science, Physics, etc.) or equivalent experience
• 12-15+ years of analytical experience in advanced analysis and predictive analytics; demonstrated proficiency in applying this experience to address business problems and to aid decision making
• 4-6 years leading and managing BI teams.
• Significant proficiency in one or more programming languages, such as SQL/R/Python. 
• Advance