Manager ME&I, Marketing Analytics

About the Role

Key Responsibilities

• 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.
• 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.
• Synthesize large, disparate datasets from various sources, including web analytics platforms, CRM, media platforms, sales data, and shopper panel data, ensuring data quality, consistency, and accessibility.
• Design, develop, and automate 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.
• Design and execute A/B and multivariate tests for marketing campaigns and website experiences, analyzing results for actionable insights.
• Partner with Marketing, Brand, Sales, Product Development, and IT teams to understand business needs and integrate insights into strategic planning.
• Conduct deep-dive ad-hoc analyses on specific business questions, competitive landscapes, keyword performance, and social listening.

Requirements

• Minimum of 5+ years of progressive experience in marketing analytics within 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.
• Experience with web analytics platforms such as Google Analytics 4 or Adobe Analytics, including raw data extraction and validation.
• Strong proficiency with data visualization tools like Tableau and Power BI for dashboard creation and reporting.
• Proficiency in SQL for data extraction and manipulation from various databases.
• Experience with statistical programming languages such as Python or R for advanced analytics and automation.
• Hands-on experience working with datasets like sales data (IRI, Nielsen, Retail Link), shopper panel data (Numerator, Nielsen Panel), e-commerce data, CRM data, and media platform data.
• Solid understanding of statistical methodologies, A/B testing principles, and marketing mix modeling.
• Familiarity with cloud-based data platforms (Google Cloud Platform, AWS, Azure) and data warehousing concepts.
• Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Marketing Analytics, or a related field.
• Ability to manage multiple projects in a fast-paced environment.

Nice to Have

• Experience with multivariate testing and marketing mix modeling.
• Knowledge of data integration and data management in cloud environments.
• Experience with data quality monitoring and statistical modeling.
• Mentoring experience with junior analysts.

Qualifications

• Bachelor's or Master's degree in a quantitative discipline such as Statistics, Mathematics, Economics, Computer Science, or Marketing Analytics.

Benefits & Perks

• Competitive salary range of $90,000 - $180,000 per year.
• Hybrid work environment with teams in the office an average of four days a week.
• Inclusive culture that values connection, belonging, and diversity.
• Opportunities for professional growth within a global organization.