Data Support Analyst I

Key Responsibilities

• Build custom segments for clients, ensuring accuracy, data quality, and policy compliance.
• Write and run SQL queries to extract, analyze, and validate data.
• Combine large data sets, interpret results, and translate findings into optimization strategies and custom segment solutions.
• QA segment builds and data outputs for accuracy and compliance.
• Troubleshoot technical issues independently and escalate with full context when needed.
• Evaluate requests against TTD ad policy standards.
• Build, maintain, and improve automations, scripts, and workflows supporting segment creation and data operations.
• Act as a trusted advisor and primary point of contact for stakeholders, guiding segment strategy, data best practices, and audience design.
• Manage client and internal requests end-to-end in Salesforce.
• Maintain clear documentation for team systems, processes, and domain knowledge.
• Work daily with teammates and stakeholders across regions, adapting communication styles and coordinating cross-regional handoffs.
• Contribute to the team's knowledge base 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 issues.
• Contribute to internal enablement work, including process improvement and tooling.

Requirements & Tech Stack

• 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.
• Familiarity with platforms like Databricks, Python, and AI-assisted tooling (e.g., Copilot, Claude).

Qualifications

• Bachelor's degree or relevant work experience.
• A background in data, analytics, marketing technology, or a related field is a plus.
• Collaborative and energetic mindset.
• Comfortable engaging with stakeholders at varying technical expertise levels.
• Collaborative and effective cross-functionally in a fast-paced environment.
• Detail-oriented and precise, with a strong commitment to data handling ethics and consumer privacy.
• Skilled at solving complex technical problems creatively and anticipating stakeholder needs.
• Comfortable with ambiguity and change.
• Comfortable adopting and adapting to new technologies, tools, and coding environments.
• Strong time management skills.
• Self-motivated and innovative.
• Excellent team player with a growth mindset.