Senior Analyst, Data Science and Analytics (Media Analytics

Company Description

Hi there—at Razorfish, we’re leaders in what's next. Since the dawn of the internet, we’ve helped brands move first through every era of transformation, defining what digital means for business and now leading brands into the age of AI. Everyone has a prediction. Razorfish has a track record.

Hi there—at Razorfish, we’re leaders in what's next. Since the dawn of the internet, we’ve helped brands move first through every era of transformation, defining what digital means for business and now leading brands into the age of AI. Everyone has a prediction. Razorfish has a track record.

Named a Most Innovative Agency three years running (2024–2026) by Campaign US, our work reflects a proven ability not just to anticipate what’s coming, but to help our clients actively shape the future. No matter the trend or cultural moment, delivering real business impact wouldn’t be possible without our people. We bring together curious, driven, and diverse thinkers who challenge convention, push boundaries, and hold a high bar for creative excellence.

If you’re motivated to work alongside top performers, push the boundaries of what’s possible, and help define where technology, business, and marketing are headed next—this is the place to do it.

Join us at

We are seeking a highly analytical and meticulous Senior Analyst to support media analytics and measurement across campaigns. This role is responsible for transforming data into clear, actionable insights that inform campaign optimization and support future planning.

The Senior Analyst partners with media, strategy, and analytics teams to ensure data is accurate, insights are relevant, and outputs are polished and decision-ready—with a focus on enabling faster, smarter media decisions.

• Analyze cross-channel media performance and deliver insights to support campaign optimization and planning
• Translate data into clear findings and actionable recommendations
• Support development and execution of measurement frameworks and learning agendas
• Conduct audience, competitive, and performance analysis to inform strategy
• Partner with media teams to identify in-flight optimization opportunities
• Build and maintain dashboards and reports that are intuitive and decision-ready
• Support data automation and pipeline development (e.g., GCP, Funnel.io)
• Ensure data accuracy, consistency, and quality across outputs
• Contribute to presentations with insightful storytelling, not just data reporting

• Applies core media principles to distinguish between symptoms and drivers of performance, connecting media investment, audience strategy, creative effectiveness, and channel mix to business outcomes.
• Applies measurement frameworks to analyze media performance and audience behavior
• Identifies performance drivers, trends, and optimization opportunities
• Synthesizes data across sources into clear, actionable insights
• Uses tools (CM360, Meta, Adobe/GA4, Tableau/Looker, Funnel.io) to analyze and visualize data effectively
• Supports automation efforts to reduce manual reporting and improve efficiency
• Applies analytical thinking to answer business and campaign performance questions
• Maintains strong data quality, organization, and taxonomy standards

• Translates data into clear, concise insights and recommendations
• Contributes to client and internal discussions with fact-based, data-driven input
• Supports development of polished presentations and reporting outputs
• Partners with cross-functional teams to ensure alignment on performance and insights
• Continuously improves deliverables to move from reporting toward insight-driven storytelling

• 3–5+ years of experience in media analytics, marketing analytics, or data analysis
• Strong understanding of paid media metrics, performance drivers, and campaign structure
• Experience translating data into insights and actionable recommendations
• Familiarity with measurement frameworks and performance analysis approaches
• Proficiency in analytics and visualization tools (e.g., Adobe Analytics, GA4, Tableau, Looker)
• Experience with data tools or automation…