Data Support Analyst I

Data Support is a global team that turns The Trade Desk’s proprietary data into custom and syndicated segments and insights that clients can activate with confidence. The segments we build power campaigns reaching millions of consumers across the open internet — and the data decisions we support shape how some of the world’s largest brands reach their audiences. We maintain the health and integrity of TTD’s data marketplace — ensuring data is accurate, accessible, and reliable — and we partner with internal and external stakeholders to solve complex data challenges.

We operate as a Dual Impact Team: our time is split between client-facing service — proactive and reactive client work — and internal enablement, including building tools, improving processes, and supporting stakeholders across the business. We thrive when we learn fast, remain humble, and hold ourselves to the highest standard of both technical excellence and premium service delivery.

We are part of a multinational team within the world’s leading, independent buying platform for digital advertising, with regional teams across North America, APAC, and EMEA.

What you’ll do:

• Build custom segments for The Trade Desk’s clients for use within our data management platform, ensuring accuracy, data quality, and policy compliance throughout.
• Spend meaningful time writing and running SQL to extract, analyze, and validate data across TTD data systems — combining large data sets, interpreting results, and turning findings into optimization strategies and custom segment solutions.
• QA segment builds and data outputs for accuracy and compliance before delivery; troubleshoot technical issues independently and document findings clearly, escalating with full context when needed.
• Evaluate each request against TTD ad policy standards — including sensitive categories, advertiser verticals, and geographic requirements — and escalate anything ambiguous before proceeding.
• Build, maintain, and improve automations, scripts, and workflows that support segment creation and data operations — owning accuracy, checks and balances, and process efficiency across cross-functional and cross-regional teams.
• Act as a trusted advisor and primary point of contact for stakeholders — guiding segment strategy, data best practices, and audience design, communicating proactively, and delivering high-ownership service from intake to completion.
• Own client and internal requests end-to-end in Salesforce — from intake through resolution — troubleshooting and escalating when needed while maintaining documentation clear enough for any team member to pick up at any point.
• Work daily alongside teammates and stakeholders across North America, APAC, and EMEA — adapting your communication style to different audiences and levels of technical expertise, coordinating cross-regional handoffs, and building trusted working relationships across cultures and time zones.
• Contribute to the team’s knowledge base through accurate documentation of team systems, processes, and domain knowledge — and serve as a subject matter expert for data analysis methods and tools.
• Act as a connector between Data Support and other TTD teams to resolve data and segment-related issues, and contribute to internal enablement work — process improvement, tooling, and cross-functional projects — as business needs evolve.

Who you are:

• Bachelor’s degree or relevant work experience (0–3 years); a background in data, analytics, marketing technology, or a related field is a plus.
• Proficient in Excel and MS Office, including pivot tables, charts, and manipulation of large data sets.
• Able to write and run complex SQL queries, including multiple joins, temp tables, CTEs, CASE WHEN logic, and nested queries.
• Comfortable engaging with stakeholders at varying levels of technical expertise — you can translate complexity into clarity.
• Collaborative and effective cross-functionally in a fast-paced environment, with a track record of building strong working relationships at all levels of the organization.
• Detail-oriented and precise, with a strong commitment to data handling ethics and consumer privacy.
• Skilled at solving complex technical problems creatively while anticipating stakeholder needs and consistently meeting or exceeding expectations.
• Comfortable with ambiguity and change — you approach shifting requirements as opportunities rather than obstacles.
• Comfortable adopting and adapting to new technologies, tools, and coding environments — including platforms like Databricks, Python, and AI-assisted tooling (Copilot, Claude, etc.) — as the tech stack and industry continue to evolve.
• Strong time manager who can work across functions in a dynamic, solution-oriented environment while meeting deadlines.
• Self-motivated and innovative; comfortable working independently, but an excellent team player with a growth mindset and a desire to make those around you better. #LI-LM2