Manager ME&I, Marketing Analytics

VMLY&R • New York, NY

32d • Hybrid

About The Position

We are seeking a highly analytical and strategic Marketing Analytics Manager to drive data-driven decision-making for our consumer and household products portfolio. This role will translate complex marketing and sales data into actionable insights, directly influencing strategy and optimizing performance across various channels. You will support marketing analytics, leveraging advanced tools and methodologies to uncover opportunities for growth and efficiency. This role requires a blend of technical prowess, strategic thinking, and exceptional communication skills to collaborate effectively with marketing, sales, product, leadership teams, and directly with the client.

Requirements

• Minimum of 5+ years of progressive experience in marketing analytics, with a focus on the consumer and household products (CPG) sector.
• Proven experience analyzing and reporting on digital marketing efforts, including website performance, media campaigns, and e-commerce sales.
• Exposure to at least one major web analytics platform (e.g., Google Analytics 4, Adobe Analytics), including raw data extraction and validation.
• Strong experience with data visualization tools (e.g., Tableau, Power BI) for dashboard creation and reporting.
• Proficiency in SQL for data extraction and manipulation from various databases.
• Demonstrated experience with statistical programming languages (e.g., Python, R) for advanced analytics, modeling, and automation.
• Hands-on experience working with diverse datasets relevant to CPG, such as: Sales data (e.g., IRI, Nielsen, Retail Link), Shopper panel data (e.g., Numerator, Nielsen Panel), E-commerce platform data, CRM data, Media platform data (e.g., Google Ads, Meta Ads, DSPs)
• Solid understanding of statistical methodologies, A/B testing principles, and marketing mix modeling.
• Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Marketing Analytics, or a related discipline.
• Ability to manage multiple projects concurrently in a fast-paced environment.

Nice To Haves

• Familiarity with cloud-based data platforms (e.g., Google Cloud Platform, AWS, Azure) and data warehousing concepts is a strong plus.

Responsibilities

• Strategic Insight Generation: Lead the analysis of comprehensive marketing and sales data to identify key trends, opportunities, and challenges specific to consumer and household products. Provide strategic recommendations that directly impact marketing spend, product positioning, and campaign effectiveness.
• Performance Measurement & Optimization: Develop, implement, and maintain robust measurement frameworks for digital and traditional marketing campaigns, ensuring alignment with business objectives. Conduct in-depth performance analysis, including ROI and sales attribution modeling, for media, shopper, and e-commerce initiatives.
• Data Integration & Management: Synthesize large, disparate datasets from various sources, including web analytics platforms, CRM, media platforms, sales data (e.g., IRI/Nielsen/Retail Link), and shopper panel data (e.g., Numerator). Ensure data quality, consistency, and accessibility for analysis.
• Analytics & Modeling: Familiarity with statistical techniques, including linear and logarithmic regression models, multivariate analysis, and predictive modeling, to understand consumer behavior, forecast sales, and optimize marketing mix.
• Reporting & Visualization: Design, develop, and automate compelling dashboards and reports using tools like Tableau, Power BI, or similar platforms. Present complex analytical findings clearly and concisely to diverse audiences, including senior leadership, through engaging visualizations and narratives.
• Experimentation & Testing: Design and execute A/B and multivariate tests for marketing campaigns and website experiences. Analyze results to derive actionable insights and inform continuous optimization strategies.
• Cross-functional Collaboration: Partner closely with Marketing, Brand, Sales, Product Development, and IT teams to understand business needs, define analytical requirements, and integrate insights into strategic planning and execution.
• Ad-hoc Analysis: Conduct deep-dive ad-hoc analyses on specific business questions, competitive landscapes, keyword performance, and social listening to provide timely and relevant insights.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 5,001-10,000 employees