The Trade Desk

digital advertising

SeniorAnalyst,CommercialIntelligence&Analytics

$103–189k New York, New York, United States; San Francisco, California, United States Remote Friendly
The Brief

“Senior Analyst, Commercial Intelligence & Analytics at The Trade Desk. Skills: commercial analytics, applied intelligence, SQL, Python, AI/LLM tools, building repeatable analytics, stakeholder partnership. 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, signa”

What You'll Achieve.

improve prioritization, decision-making, and field execution; improve seller focus, client outcomes, and the overall client experience at TTD; help Sales and Client Services teams understand portfolio health, prioritize effort, identify risk and opportunity earlier, and engage clients more effectively; embed analytics into repeatable workflows that create proactive signals for Sales, Client Services, and other internal teams; improve analytical speed and quality; drive broad commercial impact; reach users through the tools and workflows where decisions are made; informing action, and improving outcomes

Industry & Context.

digital advertising
Problems you'll solve

solve meaningful challenges; analytical work; analytical opportunities; analytical logic; analytical approaches; analytical plans; analytical outputs; analytical rigor; analytical speed; analytical maturity

What They're Looking For.

Must Have

5+ years of experience in commercial analytics, business analytics, analytics engineering, data science, or a similarly quantitative role, 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 judgment in applying them responsibly and validating outputs to ensure accuracy, rigor, and reliability, written and verbal communication skills, including the ability to explain findings and tradeoffs clearly to a range of stakeholders, 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

Nice to Have

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

What You'll Do.

Lead commercial analytics that clarify revenue performance

and other core business questions

Design proactive insight pipelines by translating recurring business needs into clear analytical logic

and output requirements

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

and clear analytical logic

Apply AI- and LLM-assisted tools to improve analytical speed and quality across exploration

Translate ambiguous commercial problems into clear analytical plans

stakeholder-aligned requirements

and measurable deliverables

Help prioritize analytical opportunities that are scalable

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

and improving outcomes

Communicate findings clearly through concise narratives

practical recommendations

and decision-ready guidance

Contribute to the team’s analytical maturity through documentation

and repeatable analytical approaches

How You'll Work.

Team & Collaboration

Partner with analytics engineering, Business Technology, and Revenue Operations teams to embed analytics into workflows, dashboards, alerts, and decision-support tools; Experience partnering effectively with technical teams and a broad set of internal stakeholders, including client-facing teams; partnering with engineering and systems teams responsible for core infrastructure; work closely with analytics engineering and technical partners; close partnership with technical teams that operationalize analytics into durable systems; partnering with engineering and systems teams to deploy scalable solutions; partnering effectively with technical teams and a broad set of internal stakeholders, including client-facing teams

Communication Scope

written and verbal communication skills, including the ability to explain findings and tradeoffs clearly to a range of stakeholders; Communicate findings clearly through concise narratives, practical recommendations, and decision-ready guidance

Process & Methodology

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

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