Growth Analytics Manager - Advanced Modeling & Insights

Wpp; Hoboken (NJ); Hybrid; USD 60,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

Retirement plans

Vision insurance

Dental insurance

Paid time off

Partner discounts

Mental health days

Job summary

WPP is seeking a Manager, Growth Modeling and Advanced Analytics to validate and optimize advanced analytics models across media, influencer, retailer, and SKU levels. You will collaborate with cross-functional teams to drive actionable insights and robust measurement standards for Unilever priorities.

The role focuses on budget-based optimization, forecasting, and prioritizing analytics enhancements, while engaging with brand teams and the Data Poem group to align on strategic objectives.

Qualifications

• 3–5 years in media analytics, market research, or related fields, ideally within an agency, consultancy, or embedded client-side role.
• Strong skills in statistical analysis.
• Bachelor’s degree required, advanced degree a plus.
• Proficiency with data visualization tools (Power BI, Tableau), Excel, and basic coding.
• Experience with media measurement, campaign analytics, and data storytelling, with a proven ability to translate complex data into actionable client recommendations.
• Strong analytical, problem-solving, storytelling, and communication skills, adaptable to both agency and client environments.
• Ability to work collaboratively, manage multiple projects simultaneously, and operate effectively within a client-embedded team structure while adhering to agency processes.
• Proven ability to thrive in a dynamic, client-facing environment, balancing diverse stakeholder needs with WPP's internal policies and strategic objectives.
• Prior usage of major media platforms such as Google, Meta, TikTok, and others, with experience leveraging data from these channels for campaign reporting and optimization for large advertisers.
• CPG experience highly preferred.
• Awareness of digital marketing measurement tools (e.g., MMM, Attribution, Brand Health, Lift/Incrementality Testing, Data Clean Rooms).

Responsibilities

• Model Validation & Approval: Oversee the validation and approval of regular INC, Mega INC, and Pilot models, including those focused on media, influencer, SKU-level, and retailer analytics
• Data Quality & Troubleshooting: Identify and resolve input data issues and attribution shifts by channel, ensuring data integrity and reliability across analytics processes
• Budget Optimization & Forecasting: Execute budget-based optimization and forecasting on a monthly basis and in response to ad-hoc business needs, supporting strategic resource allocation
• Critical Analysis: Conduct analyses to determine saturation points, optimal investment by platform, and the impact of incremental or budget cuts, providing recommendations for maximizing ROI.
• Measurement Solutions Evaluation: Assess new measurement solutions and vendor offerings, vetting methodologies to ensure alignment with Unilever’s standards and business objectives.
• Feature List Management: Analyze and approve feature lists, prioritizing enhancements based on evolving business needs.
• Stakeholder Engagement: Participate in key Unilever meetings (brand connect with Unite, category review, CMI share-outs, LOM sessions) and maintain regular communication with the Data Poem team to stay informed about business priorities.

Skills

Statistical analysis

Power BI

Tableau

Excel

Coding basics

Communication skills

Client-facing

Data storytelling

Campaign analytics

CPG experience

Market research

Education

Bachelor's degree

Tools

Google Analytics

Tableau

Power BI

Excel

Job description

WPP is seeking a Manager, Growth Modeling and Advanced Analytics to validate and optimize advanced analytics models across media, influencer, retailer, and SKU levels. You will collaborate with cross-functional teams to drive actionable insights and robust measurement standards for Unilever priorities.

The role focuses on budget-based optimization, forecasting, and prioritizing analytics enhancements, while engaging with brand teams and the Data Poem group to align on strategic objectives.