Lead Business Intelligence Analyst

Overview

Founded by the pioneers of real-time bidding (RTB), The Trade Desk has become the fastest growing demand-side platform (DSP) in the industry, enabling 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 around the world — more page views and queries than Facebook, Google Search, and Google’s entire network of websites combined — all serviced in single-digit-millisecond response times.

If you are interested in driving a culture of data-driven decision making at a leading advertiser-focused company supporting the open internet, and you want to apply strong quantitative analysis and predictive analytics to tackle complex, impactful problems, we’d like to talk.

If this sounds like you and you are talented, driven, creative, and hungry to bring something new and ambitiously innovative to the world (and have fun doing it), we want to talk.

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

This role requires cross-functional work to understand evolving business needs. You will design and develop insights capabilities, presentations, and models to guide strategic decisions of senior and executive stakeholders. You will also use advanced analytics techniques to surface insights, guide business decisions, and proactively identify opportunities and threats.

• Surface insights from multiple data sources to support complex operational decision making. Execute and/or coordinate advanced analytics initiatives, interpreting findings and implications for The Trade Desk.
• Analyze KPIs and success metrics across 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 at scale.
• Participate in and lead cross-functional teams with Marketing, Sales, Operations, Product, Technology, People Analytics, and Finance.
• Develop strong, professional, and collaborative relationships among BI leadership and key stakeholders.
• Provide transformational thought leadership for analytics, including advanced data modeling and predictive modeling.
• Perform other duties as assigned.

• 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 applying this experience to address business problems and aid decision making.
• 4-6 years leading and managing BI teams.
• Significant proficiency in one or more programming languages (SQL/R/Python).
• Expert-level experience with standard analysis tools (e.g., Microsoft Excel) and ability to create presentations conveying data-driven stories.
• Experience with BI and analysis tools (Tableau, Power BI, etc.).
• Curiosity to understand the "why" in the data.
• Excellent critical thinking skills and proven ability to present complex data-driven insights to stakeholders at all levels, including senior and executive leadership.
• Ability to understand complicated problems and provide concise, relevant answers; ability to convey technical topics to non-technical audiences.
• Ability to work independently in a rapidly growing environment, handling multiple priorities with attention to detail and organizational skills.
• Ability to build consensus across cross-functional and geographic teams.
• Ability to quickly come up to speed on complex business topics;
  Adtech experience is a plus.
• Must possess a can-do attitude and be motivated by the opportunity to have significant, measurable impact on the business.
• Ability to work well with all levels of internal management and staff.

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