Manager, Data Science and Analytics

Company description

Hi there! We’re Razorfish. We’ve been leading the marketing industry with our digital expertise since the start of the internet. But in 2020, we did a full reboot. What’s different? It all starts with people. Weird, wonderful, complex people – with diverse backgrounds in strategy, creative and technology. But no matter how different we are, we all have one thing in common.

We believe our differences are our strength. So we push for inclusion, challenge convention and bring in new perspectives, to inspire new ideas. Because when we connect by understanding what makes people different, we can create unforgettable experiences that enrich lives. Join us at

Razorfish is looking for a manager to join its Data Science and Analytics practice. This analytics, research, and consulting team delivers data‑driven insights to our clients. Each member of the team is aligned to one or more clients and works closely with other Data Science team members, our clients, and colleagues across other disciplines such as Client Management, Strategy, Search, Social, Media, User Experience, and Technology.

In this role you will contribute to data‑driven projects across one or more client accounts. You will have support from data leadership and fellow analysts.

Core areas of focus for this group include measurement planning and strategy, customer segmentation, testing frameworks, measurement and optimization solutions, performance reporting and analyses, personalization, and forecasting.

• Manage the end‑to‑end process for data internal and external client project work
• Understand Razorfish data capabilities and how data fits into a client’s overall strategy
• Demonstrate marketing business acumen and how our data services fit into client strategies and objectives
• Able to lead cross‑capability projects and build close relationships with other disciplines
• Lead client readouts, define requirements and implementation of data tools and products
• Has developed domain level experience in one or more core areas of data, including business intelligence, data visualization, forecasting, testing, or modeling to contribute to client discussions and deliverables

• Able to independently identify key issues and objectives to focus on for internal and client needs with minimal oversight
• Able to apply more holistic strategic thinking to elevate either a client’s marketing goals or data sophistication and maturity forward. For example, a manager will show initiative in understanding strategic frameworks and how to apply them to client‑specific needs.

• Is a thoughtful contributor to internal and client discussions, having synthesized input and feedback
• Independently prepares internal and client presentations and necessary outlines
• Owns work and delivers materials with confidence, and comfortable with supplying appropriate responses to questions that are more vague or not directly related to what was presented
• Shows confidence in meetings offering ideas and suggestions, reflecting mastery of tasks and work
• Comfortable with occasionally leading team discussions and able to present alternative solutions
• Able to create client documents from scratch with little reliance on templates and minimal oversight
• Uses best practices in formatting within presentation tools (PPT, Google Slides, etc.)
• Transforms data into visually appealing presentations with an emphasis on storytelling, adapting formats and charts as necessary

• Is the day‑to‑day internal data resource while becoming the client go‑to resource
• Can lead the client through multiple programs / projects from start to finish
• Displays professional, articulate, and mature presence in all aspects of client relationship building
• Understands how to document and respond to client feedback and recognizes when to elevate issues
• Questions and output reflects deep knowledge of client’s business – financials, industry economics, competitive dynamics, marketing channels, and client strategic issues

• Shows mastery of multiple data tools and platforms and techniques specifically Adobe Analytics experience, SQL…