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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Support Analyst I - **Company:** The Trade Desk - **Location:** New York, NY, United States - **Experience:** Starter - **Salary:** $48,200.0 - $88,300.0 - **Contract:** Temporary contract - **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Big Data, Data Systems, Python (Programming Language), Microsoft Office, Pivot Tables, DataOps, Salesforce.Com, SQL Databases, Data Processing, Freeform SQL, Data Management, Databricks - **Published:** August 19, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87546187/1 ## About the Role * 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 ## Description * 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)