Sr Business Intelligence Analyst-Analytics Engineering

About the role

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.

Responsibilities

• 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.

Requirements

• Master’s degree in a quantitative or scientific field (Economics, Finance, Statistics, Mathematics, Computer Science, Physics, etc.) or equivalent experience with 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.

Qualifications

• Must have a Bachelor’s degree in a quantitative or scientific field (Economics, Finance, Statistics, Mathematics, Computer Science, Physics, etc.) or equivalent experience with 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.

Skills

• Master’s degree in a quantitative or scientific field (Economics, Finance, Statistics, Mathematics, Computer Science, Physics, etc.) or equivalent experience.
• 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.
• 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.).
• 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.
• 'Can-do' attitude, motivated by the opportunity to have significant and measurable impact on the business.

Benefits

• Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents.
• Retirement benefits such as a 401k plan and company match.
• Short and long-term disability coverage.
• Basic life insurance.
• Well-being benefits.
• Reimbursement for certain tuition expenses.
• Parental leave.
• Sick time of 1 hour per 30 hours worked.
• Vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter.
• Around 13 paid holidays per year.
• Employee Stock Purchase Plan.

Pay

The range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance.

Schedule

Full-time position.