Staff Business Intelligence Analyst

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 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 Product and engineering teams.  

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 for  Product and Engineering teams. Execute and/or coordinate critical, advanced analytics initiatives providing an interpretation of findings and the implications to The Trade Desk
• Provide analysis of key performance indicators (KPIs) and success metrics across various business areas and develop actionable insights for leadership.
• Influence The Trade Desk leadership by proactively seeking and framing opportunities and identifying business risks.
• 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  Product, Engineering, Marketing, Sales, Operations, 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 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
• Significant proficiency in one or more programming languages, such as SQL/R/Python.
• Must have expert level experience with standard analysis tools (e.g., Microsoft Excel) and ability to create presentations conveying compelling data-driven stories
• Experience with business intelligence (BI) and analysis tools (Tableau, Power BI, etc.)
• Adtech experience strongly desired for ability to come up to speed quickly on complex business topics. 
• Must possess a demonstrated curiosity to understand the “why” in the data
• Excellent critical thinking skills and proven track record with presenting complex data-driven insights to stakeholders at all levels including senior and executive leadership
• Ability to understand complicated problems and supply concise and relevant answers
• Ability to convey technical topics to non-te