Senior Analyst, Commercial Intelligence & Analytics

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.

About the role

We are seeking a Senior Analyst, Commercial Intelligence and Analytics to lead high-impact analytical work supporting TTD’s cross-functional teams, with a focus on Sales and Client Services. This role sits at the intersection of commercial analytics, applied intelligence, and go-to-market execution. You will identify analytical opportunities and turn them into scalable deliverables and insight pipelines that support a broad set of internal stakeholders. Working across Commercial Operations, Revenue Operations, Business Technology, Finance, and related teams, you will help translate analysis into proactive signals that improve prioritization, decision-making, and field execution.

This role leads analytics, decision support, and insight activation end to end, in partnership with engineering and systems teams responsible for core infrastructure. You will work closely with analytics engineering and technical partners to deliver clear, trusted, and actionable intelligence that improves seller focus, client outcomes, and the overall client experience at TTD.

What we do

Commercial Operations is composed of closely connected functions that help TTD grow revenue in a disciplined, scalable, and data-driven way. Across these teams, we improve visibility, standardize key metrics, strengthen decision support, and help client-facing teams act with greater precision and consistency. Within this organization, Commercial Intelligence and Analytics turns commercial, product, and client data into insight products that support internal teams and improve how TTD serves, grows, and retains clients. We build analytics, signal frameworks, and decision-support tools that help Sales and Client Services teams understand portfolio health, prioritize effort, identify risk and opportunity earlier, and engage clients more effectively. Our work spans descriptive and diagnostic analysis, scalable reporting, proactive insight delivery, AI-assisted workflows, and close partnership with technical teams that operationalize analytics into durable systems.

Responsibilities

• Lead commercial analytics that clarify revenue performance, portfolio health, renewal dynamics, client opportunity, service risk, and other core business questions.
• Design proactive insight pipelines by translating recurring business needs into clear analytical logic, metric definitions, signal criteria, and output requirements.
• Partner with analytics engineering, Business Technology, and Revenue Operations teams to embed analytics into workflows, dashboards, alerts, and decision-support tools.
• Develop outputs that help internal and client-facing teams prioritize effort, identify risk and opportunity, and act with greater precision.
• Build trusted analytical assets using SQL, Python, validated metrics, and clear analytical logic.
• Apply AI- and LLM-assisted tools to improve analytical speed and quality across exploration, documentation, anomaly detection, query development, and workflow design.
• Translate ambiguous commercial problems into clear analytical plans, stakeholder-aligned requirements, and measurable deliverables.
• Help prioritize analytical opportunities that are scalable, actionable, and likely to drive broad commercial impact.
• Help embed analytical outputs into go-to-market systems so they reach users through the tools and workflows where decisions are made.
• Assess whether signals are reaching the right users, informing action, and improving outcomes.
• Communicate findings clearly through concise narratives, practical recommendations, and decision-ready guidance.
• Contribute to the team’s analytical maturity through strong documentation, testing, metric governance, and repeatable analytical approaches.

Requirements

• 5+ years of experience in commercial analytics, business analytics, analytics engineering, data science, or a similarly quantitative role.
• Strong SQL skills and experience working with large, complex datasets in modern data environments.
• Proficiency in Python for analysis, automation, and workflow development.
• Experience translating business questions into analytical approaches, requirements, and decision-ready outputs.
• Experience building repeatable analytics, signals, or insight workflows rather than relying solely on ad hoc analysis.
• Experience partnering effectively with technical teams and a broad set of internal stakeholders, including client-facing teams.
• Familiarity with AI- or LLM-assisted tools in analytics workflows, with strong judgment in applying them responsibly and validating outputs to ensure accuracy, rigor, and reliability.
• Strong written and verbal communication skills, including the ability to explain findings and tradeoffs clearly to a range of stakeholders.
• Strong attention to data quality, metric consistency, and analytical rigor.
• Experience with SQL, Python, Salesforce, planning tools, product telemetry, and enterprise data platforms such as Snowflake or Databricks.

Preferred Qualifications

• Experience supporting Sales, Client Services, Revenue Operations, or other go-to-market teams in analytically rigorous environments.
• Experience building or operationalizing proactive signals, recommendations, or decision-support outputs for field or client-facing teams.
• Familiarity with advertising technology, digital media, measurement, or platform-based commercial models.
• Experience working in high-growth, data-intensive organizations where analytics support multiple stakeholders and workflows.

Pay

The base salary range for this role is $103,200—$189,200 USD.

Benefits

• Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents.
• Retirement benefits including a 401k plan with 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 through the first year and 160 hours thereafter.
• Around 13 paid holidays per year.
• Eligibility to purchase The Trade Desk stock at a discount through the Employee Stock Purchase Plan.
• Eligibility for stock-based compensation grants based on company and individual performance.
• Variable compensation-based incentives and commissions depending on the role.