Position Overview: Senior Data Analyst - (AdTech / Media Measurement)
Job Title: Senior Data Analyst
Location: Remote (Must work PST business hours)
Industry: AdTech / Media & Entertainment / Consumer Data Analytics
About the Role
Our client is an enterprise-grade data collaboration and privacy platform that empowers global brands to safely connect consumer data, gain clear media attribution, and build holistic customer views.
We are seeking a Senior Data Analyst with deep AdTech domain expertise to lead measurement and analytics initiatives for key platform customers. Working closely with Customer Success, Product, and Engineering teams, you will leverage enterprise Data Clean Room environments (e.g., cloud-based data collaboration hubs, Amazon Marketing Cloud, Google Ads Data Hub) to analyze complex media datasets, design KPIs, build high-impact BI dashboards, and translate quantitative findings into strategic insights for business stakeholders.
Key Responsibilities
Measurement Strategy & KPI Frameworks: Lead marketing measurement initiatives; develop multi-channel KPIs, attribution models, and experimental learning plans tailored to client marketing objectives.
Clean Room & Advanced Analytics: Analyze multi-dimensional datasets within Data Clean Room environments to answer key business questions, evaluate campaign effectiveness, and enable programmatic optimization.
Dashboarding & Visualization: Design, build, and maintain enterprise BI dashboards, visualizations, and automated reporting frameworks to scale analysis across diverse customer verticals.
Stakeholder Engagement & Data Storytelling: Partner directly with external customer stakeholders to gather requirements, communicate technical updates, and translate complex statistical concepts into compelling executive narratives.
Cross-Functional Collaboration: Partner with Product and Engineering teams to provide client feedback, validate measurement methodologies, and inform the roadmap for next-generation analytics features.
Candidate Qualifications
Required Experience & Skills
Domain Expertise: 9+ years of progressive experience in data analytics or data science, with a heavy concentration in AdTech, marketing measurement, and campaign attribution.
Technical Mastery: 10+ years of practical experience using SQL and Python for data manipulation, statistical modeling, and automated analysis.
Business Intelligence: Hands-on expertise building enterprise-level dashboards using tools such as Looker, Tableau, or Metabase.
Clean Room Familiarity: Experience querying and synthesizing data within privacy-first clean room environments (e.g., Amazon Marketing Cloud, Google Ads Data Hub, or proprietary data-sharing ecosystems).
Communication: Exceptional verbal and written communication skills with demonstrated success presenting complex analytics to both technical teams and non-technical executive audiences.
Education: Bachelor's degree in Statistics, Economics, Computer Science, Engineering, or a related quantitative discipline.
Preferred Qualifications (Plus)
Prior analytical experience within the Connected TV (CTV) or traditional TV media space.
Experience with experimental design (A/B testing, holdout groups) and observational data analytics.