Associate Director, Marketing Data & Analytics
Listed on 2026-03-06
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IT/Tech
Data Analyst, Data Science Manager
Associate Director, Marketing Data & Analytics Who We Are
Hudson Rouge, part of WPP, is a luxury boutique marketing and communications agency that works solely on luxury brands and is the exclusive agency of record for the Lincoln Automotive business across all channels. We combine brand strategy, media strategy, activation, digital, social, earned media, production and analytics to provide exquisitely crafted creativity. We are a small group of people spread across several offices — New York, Detroit, Shanghai, Toronto, and Mexico City — and we care for each other as much as we care for our clients.
We are an agency that prides itself on doing the un-usual, and we also look for unusual talent: people who are excited about doing their best work and want to grow with us. We are an agency that prides itself on the highest levels of craft and concept.
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit
Primary Function / Position SummaryWe are seeking a hands‑on data scientist to join our Marketing Analytics team. This person will play a dual role: doing the advanced analytical work that powers our team’s strategic output, and helping build the data science infrastructure our team needs to grow. On the analytics side, you will support senior team leads by developing ad‑hoc models, custom data visualizations, and the technical analyses that feed into client‑facing presentations.
On the infrastructure side, you will help create and maintain a centralized code repository, work toward standardizing how our team accesses data across multiple platforms, and develop repeatable frameworks that make the team more efficient. This is a role for someone who loves working in code, wants to help build something from the ground up, and is energized by bringing order to complex, fragmented data environments — all in service of a Fortune 100 automotive client.
Responsibilities
- Advanced Analytics Execution: Develop ad‑hoc statistical models, custom analyses, and exploratory data work to support senior team members in building strategic recommendations and client deliverables.
- Data Visualization & Presentation Support: Create polished, custom data visualizations that go beyond standard dashboards — charts, graphics, and interactive outputs that help tell a compelling analytical story in client presentations.
- Code Repository & Knowledge Management: Help create and maintain a Git Hub repository for the marketing analytics team. Document queries, methodologies, and reusable code so the team can build on shared knowledge rather than starting from scratch.
- Data Access & Standardization: Help organize how the team accesses data across disparate sources (Snowflake, Databricks, flat files, third‑party platforms, etc.). Contribute to building standardized connection templates, data dictionaries, and repeatable processes that support centralized analysis.
- Reporting Automation: Transition manual, Excel‑based reporting workflows into automated, code‑driven processes using Python, R, and/or SQL.
- Data Quality: Identify data definition and quality issues within the warehouse environment and help resolve them through code, collaborating with engineering teams as needed.
- Exploratory Analysis: Conduct exploratory data analysis to answer business questions and generate actionable insights using Python or R.
- Measurement Support: Work with internal teams to help ensure tracking needs are met and support the definition of business logic for marketing campaign measurement.
- Coding: Strong proficiency in Python and/or R, and fluency in SQL. You should be comfortable writing, debugging, and optimizing code daily.
- Database Environments: Hands‑on experience working within Snowflake and/or Databricks. Comfortable…
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