> Markdown version of [/jobs/ext/3843098-manager-data-science-and-analytics](https://www.wearedevelopers.com/jobs/ext/3843098-manager-data-science-and-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Science and Analytics - **Company:** Publicis Groupe - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $88,540.0 - **Contract:** Temporary contract - **Skills:** Adobe Analytics, Microsoft Excel, Data Analysis, BigQuery, CoreMedia CMS, Data Visualization, Database Queries, Google Analytics, SQL Databases, Google Cloud, Google Data Studio, Data Pipelines - **Published:** October 20, 2026 - **Apply:** https://www.juju.com/job/1_publicisgroupe2-174567 ## About the Role Communication & Collaboration + Translates data into clear, concise insights and recommendations. + Contributes to client and internal discussions with fact-based, insight-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. **Qualifications** + 4-6+ years of experience in paid 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 (Adobe Analytics, GA4, BigQuery, Looker Studio, CM360). Looker Studio experience preferred. + Experience with data tools or automation (e.g., Excel, SQL, Google Cloud Platform). SQL proficiency is required. + Experience with Brand Lift Studies (e.g. Kantar, Cint, DISQO). + Strong attention to detail and ability to deliver accurate, high-quality outputs. + Effective communication skills with ability to present insights clearly and concisely. **Additional information** The Power of One starts with our people! ## Description Join us at razorfish.com. **Overview** We are seeking a highly analytical and detail-oriented Manager, Data Science and Analytics 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 Manager, Data Science and Analytics 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. **Responsibilities** + Analyze cross-channel media performance and deliver insights to support campaign optimization and planning. + Lead monthlypresentations with insight-driven 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. + 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, BigQuery). + Ensure data accuracy, consistency, and quality across outputs. Core Capabilities (Strategy, Analytics & Tools) + 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 (BigQuery, Looker Studio, CM360) 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.