What we do:

The Global BI team works closely with a broad range of teams including Client Services / Product / Engineering / Finance / Marketing to translate real business problems into insightful data solutions and drive the company culture of data-driven decision making. We’re looking for someone who is enthusiastic about new technology, has not only the existing technical skills to be successful but also the acumen to learn even more; you’ll never run out of things to learn here! You’re comfortable being a mediator between business and technology teams, helping both reach solutions on high-priority technical issues.

What you'll do:

• You will own the development of cross-functional data models, core business metrics, and self-service analytics capabilities. 

• You will design and maintain scalable data solutions that enable reliable, timely access to business-critical insights. 

• You will develop analytical frameworks that support data-driven experimentation and business health monitoring across the organization. 

• You will anticipate and solve common data access patterns across product, marketing, finance, and operations teams. 

• You will partner closely with Business Analysts and Data Engineers to develop deep expertise in the business and serve as the bridge between business needs and data infrastructure. 

• You will work with engineering teams to understand impacts to existing analytics products when changes to existing data models occur. 

• You will champion data standards, governance, and best practices across the organization. 

Who you are: 

• A quantitatively focused education (minimum BSc in Statistics, Economics, Computer Science etc.) with 5+ years professional experience in Analytics Engineering, Data Engineering, or Business Intelligence roles.  AdTech experience preferred.   
• You’re a SQL pro and have a deep hands-on expertise with relational databases and data warehouse methodologies (Snowflake, Databricks, Vertica, etc.). 
• You have experience translating complex business problems into elegant, scalable data models leveraging modern data tools like dbt. 
• You have experience with multiple programming languages (Python, R, etc.). 
• You have experience with BI tools such as Tableau, Power BI, or Looker, with a strong understanding of enabling self-serve analytics. 
• You are genuinely curious, a lifelong learner, and a fearless advocate of positive change. 
• You are comfortable collaborating in a fast-paced environment with teams spread across the globe. 
• You are adept at communicating across, both, technical and business-focused teams. 
• You can prioritize and meet deadlines. 

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The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.