We are seeking an Analyst II, Commercial Intelligence and Analytics to support high-impact analytical work for 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 help 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 contributes to analytics, decision support, and insight activation, 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. Core mission The Analyst supports high-impact analytical work from business question to field-facing output. This includes helping identify where better analytics can support internal teams, contributing to the logic and requirements for insight pipelines, partnering with engineering and systems teams to deliver scalable solutions, and helping ensure the resulting outputs are trusted, understandable, and useful. Success in this role means not only producing strong analysis but also helping embed it in repeatable workflows that create proactive signals for Sales, Client Services, and other internal teams. What you'll do • Support commercial analytics that clarify revenue performance, portfolio health, renewal dynamics, client opportunity, service risk, and other core business questions - digging past the surface narrative to test what is actually driving a trend. • Help 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. • Help translate ambiguous commercial problems into clear analytical plans, stakeholder-aligned requirements, and measurable deliverables. • Proactively surface ideas and 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. • Help 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 - calibrated for the audience, from leadership framing to frontline seller action. • Contribute to the team's analytical maturity through strong documentation, testing, metric governance, and repeatable analytical approaches. Required qualifications • 3+ years of experience in commercial analytics, business analytics, analytics engineering, data science, or a similarly quantitative role. • Solid SQL skills and experience working with large, complex datasets in modern data environments. • Working proficiency in Python for analysis, automation, and workflow development. • Experience translating business questions into analytical approaches, requirements, and decision-ready outputs. • Experience contributing to repeatable analytics, signals, or insight workflows, not just 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. • Familiarity 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. • Demonstrated ability to structure ambiguous problems and synthesize findings into clear, actionable recommendations. • Intellectual honesty - comfortable presenting what the data shows even when it contradicts the expected narrative, and revising conclusions as the evidence changes. #LI-JS1 In accordance with various US state laws, 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. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include 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, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk's Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $103,200-$189,200 USD