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Senior Data Science and Analytics Analyst

Razorfish

$72,390 - $109,480
Nov 10, 2025
New York, NY, United States of America
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Razorfish is looking for a Senior Analyst to join its Data Science and Analytics practice to deliver data-driven insights to clients, focusing on areas like measurement planning, customer segmentation, testing, optimization, and forecasting.

Requirements

  • Design and analyze results of test and learn initiatives across key campaigns and tactics.
  • Execute frequent ad hoc and recurring data pulls to support ongoing business needs, creative testing, and campaign optimization.
  • Proficiency in Excel and Tableau; experience with Google Campaign Manager and social platform data tools.
  • Shows mastery of multiple data tools and platforms and techniques.
  • Mastery of statistical concepts and coding languages (e.g., SQL, Python, R).
  • Ability to assist in all aspects of vendor assessments.
  • Experience building and working within BI/Visualizations tools (Excel, Tableau, and PowerPoint).

Responsibilities

  • Be the lead data analyst for internal and external client project work and manage data team responsibilities within cross-capability workstreams.
  • Execute in-depth analyses of channel performance and test and learning initiatives.
  • Owns elements of the data process such as syntax and taxonomy management.
  • Collaborate cross-functionally with media planners, strategists, and activation teams for reporting, forecasting, and test design and setup.
  • Manages dashboard build and maintenance to ensure data accuracy across data and dashboards.
  • Own client readouts, measurement requirements, and QA of performance data across reporting outputs.

Other

  • Understands paid media channels and how they interact in a full-funnel marketing mix, as well as their impact on website experiences.
  • Ability to identify and focus on key issues and objectives based on internal team and client needs with oversight.
  • Effectively describes outputs and approach of analysis to internal audiences and clients.
  • Ability to own sections of learning agendas and measurement plans.
  • Consistently demonstrates ability to synthesize implications ("so whats?") from analysis and refine approach.