Senior Data Analyst

Role Overview

Senior Data Analyst (Remote, PST)

You will lead analytics and measurement reporting initiatives for client customers, working closely with Customer Success, Product, and Engineering to generate insights from clean room technologies and other industry data solutions.

Responsibilities

• Lead measurement initiatives by developing KPIs and learning plans aligned to customers’ marketing objectives.
• Develop, implement, and maintain analytics systems, tools, and frameworks that support efficient customer analysis.
• Design observational analytics approaches (including mining multi-dimensional datasets) and build scalable analysis templates/libraries across customer use cases and verticals.
• Work hands-on with customer data to answer key business questions, drive campaign optimization, and identify opportunities to improve effectiveness, efficiency, and productivity.
• Create rich, compelling visualizations, dashboards, and reports.
• Partner with customer stakeholders to gather requirements, communicate updates/findings, and build strong relationships.
• Present insights internally and externally, translating complex analytical concepts for both business and technical audiences.

Team/Collaboration

• Collaborate with product and engineering teams to support measurement product methodologies.
• Work with internal and external clients to translate measurement/analytics needs into product improvements.
• Contribute to designing new analytical offerings.

Requirements

• 9+ years experience in analytics or data science, with expertise in measurement and attribution.
• Bachelor’s degree in a quantitative field (Statistics, Economics, Engineering, Computer Science, etc.).
• Strong communication skills in client-facing environments.
• Proven experience building and presenting data-driven dashboards and presentations; hands-on with Metabase, Tableau, and Looker.
• Solid data modeling skills and ability to explain complex concepts to different audiences.
• AdTech industry experience required; TV industry familiarity is a plus.
• Ability to prepare independent analysis using SQL, Python, Excel, and statistical methods.
• Detail-oriented, strong time management, able to deliver high-quality client-ready reports across multiple projects.
• Comfortable presenting to large non-technical audiences and adapting for technical audiences.

Nice to Have

• Familiarity with the TV industry.