Sr Business Intelligence Analyst-Analytics Engineering

The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more. Advertising powers the content people love.

By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale.

When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you.

What we do: The Senior 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 will focus more on the Analytics Engineering tasks. This role requires working cross-functionally to understand evolving business needs deeply.

You will be responsible for designing and developing insights capabilities, experiments, 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. , dbt, Power BI tabular models) that exposes business‑friendly metrics and hierarchies; drive versioning, automated testing, and documentation standards. 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 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.

Who You Are

) or equivalent experiencewith 5+ years professional experience in Analytics Engineering, Data Engineering, or Business Intelligence roles. AdTech experience preferred. 8-12 years analytical experience in advanced analysis and predictive analytics; demonstrated proficiency in applying this experience to address business problems and to aid decision making 3+ years of experience supporting Sales, with experience providing actionable insights to drive the business.

Prior experience creating and monitoring success metrics, performing experiments, and effectively communicating results. Significant proficiency in one or more programming languages, such as SQL/R/Python.