Chicago, United States; Los Angeles, United States; New York, US
Full job description
The Trade Desk seeks a Senior Analyst, Commercial Intelligence and Analytics to lead analytical work supporting Sales and Client Services. The role involves designing and deploying scalable insight pipelines, partnering with engineering and operations teams, and delivering actionable intelligence to improve sales prioritization and client outcomes. Responsibilities include leading commercial analytics, building trusted analytical assets using SQL and Python, applying AI and LLM tools, and embedding analytics into workflows and decision-support tools. Required qualifications include 5+ years in commercial or business analytics, strong SQL and Python skills, experience with large datasets, and familiarity with AI-assisted analytics tools. Preferred qualifications include experience supporting go-to-market teams and familiarity with advertising technology. Benefits include comprehensive healthcare, retirement plans, disability coverage, life insurance, tuition reimbursement, parental leave, paid sick and vacation time, paid holidays, stock-based compensation, and employee stock purchase plan. Base salary range is $103,200 to $189,200 USD. Locations: Chicago, IL; Los Angeles, CA; New York, NY.
What you'll do
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Chicago, United States; Los Angeles, United States; New York, US
Full-time
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
Tech stack
SQLPythonSalesforceSnowflakeDatabricksAILLM
Benefits
Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependentsRetirement benefits such as a 401k plan and company matchShort and long-term disability coverageBasic life insuranceWell-being benefitsReimbursement for certain tuition expensesParental leaveSick time of 1 hour per 30 hours workedVacation time for full-time employees up to 120 hours through the first year and 160 hours thereafterAround 13 paid holidays per yearEligibility for stock-based compensation grants based on company and individual performanceVariable compensation-based incentives and commissions depending on the roleEmployee Stock Purchase Plan allowing purchase of company stock at a discount
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