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 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. Execute and/or coordinate critical, advanced analytics initiatives providing an interpretation of findings and the implications to The Trade Desk
• Build the semantic layer (e.g., 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. 
• 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 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. 
• Must have expert level experience with standard analysis tools (e.g., Microsoft Excel) and ability to create presentations conveying compelling data-driven stories to all levels of the company
• Experience with business intelligence (BI) and analysis tools (Tableau, Power BI, etc.)
• 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-technical audiences
• Ability to work independently in rapidly growing environment, handling multiple competing priorities with excellent attention to detail and organizational skills
• Ability to build consensus across cross-functional and across geographic teams
• Ability to come up to speed quickly on complex business topics.
• Must possess a 'can-do' attitude, motivated by the opportunity to have significant and measurable impact on the business. 
• Must have the ability to work well with all levels of internal management and staff

#LI-TP1

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.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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-technical audiences
• Ability to work independently in rapidly growing environment, handling multiple competing priorities with excellent attention to detail and organizational skills
• Ability to build consensus across cross-functional and across geographic teams
• Ability to come up to speed quickly on complex business topics. Adtech experience a plus.
• Must possess a 'can-do' attitude, motivated by the opportunity to have significant and measurable impact on the business.
• Must have the ability to work well with all levels of internal management and staff

#LI-TP1

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.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

[SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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. 

#TP-L1

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.