Data Analyst - Remote We are looking for a results-driven Data Analyst with expertise in marketing measurement, attribution modeling, and data analysis across retail media and data clean room environments. This role requires hands-on experience in Google Cloud Platform (GCP), campaign analytics, and working with key tools for marketing measurement. As a Data Analyst, you will collaborate with marketing and analytics teams to evaluate campaign performance, build attribution models, and deliver actionable insights to optimize media investments and audience strategies. Key Responsibilities: • Analyze and optimize retail media campaigns across platforms like Criteo, The Trade Desk, Amazon Ads, and Meta (Facebook). • Leverage data clean rooms such as LiveRamp Safe Haven, Amazon Marketing Cloud (AMC), Meta’s Clean Room, and Google Analytics Hub to derive audience-level and campaign-level insights. • Develop and implement attribution models, incrementality tests, and measurement frameworks to assess campaign effectiveness and inform budget decisions. • Use GCP tools (especially BigQuery, Looker, and Cloud Storage) for data querying, transformation, and visualization. • Design and deliver actionable dashboards, reports, and presentations for marketing, media, and executive stakeholders. • Collaborate with media planners, marketers, and technical teams to ensure insights drive campaign optimizations. • Maintain compliance with data privacy standards, including GDPR, CCPA, and clean room protocols. Qualifications: • 3–5 years of experience in data analytics, marketing analytics, or media measurement, preferably in retail, CPG, or e-commerce. • Hands-on experience with Google Cloud Platform tools, especially BigQuery and Looker. • Proven experience working with multiple data clean rooms (e.g., LiveRamp, AMC, Meta Clean Room, etc.). • Familiarity with campaign data and audience segmentation from platforms like The Trade Desk and Criteo. • Strong SQL skills; experience with Python or R for analytics is a plus. • Solid understanding of marketing KPIs (CTR, CPA, ROAS, etc.) and attribution methodologies (first-touch, last-touch, multi-touch). • Ability to translate complex technical insights into clear, actionable recommendations for business and marketing teams. Preferred Qualifications: • Experience in consumer packaged goods (CPG), retail, or e-commerce marketing analytics. • Knowledge of media mix modeling, experimental design, and campaign lift studies. • Familiarity with privacy-first analytics and secure data environments.