Senior Marketing Analyst ME&I

WPP PLC • Kansas City, MO

33d • $70,000 - $140,000 • Hybrid

About The Position

We are seeking a highly analytical and detail-oriented Senior Marketing Analyst 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 supporting strategy and optimizing performance across various channels. You will contribute to marketing analytics initiatives, leveraging advanced tools and methodologies to uncover opportunities for growth and efficiency. This role requires a blend of technical prowess, strong analytical skills, and effective communication to collaborate with marketing, sales, product, and IT teams.

Requirements

• Minimum of 3+ 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.

Nice To Haves

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

Responsibilities

• Insight Generation: Analyze comprehensive marketing and sales data to identify key trends, opportunities, and challenges specific to consumer and household products. Provide actionable insights and recommendations that support marketing spend optimization, product positioning, and campaign effectiveness.
• Performance Measurement & Optimization: Support the development, implementation, and maintenance of 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 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). Contribute to ensuring data quality, consistency, and accessibility for analysis.
• Analytics & Modeling: Apply statistical techniques, including linear and logarithmic regression models, multivariate analysis, and predictive modeling, to understand consumer behavior, forecast sales, and support marketing mix optimization.
• 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 through engaging visualizations and narratives.
• Experimentation & Testing: Support the design and execution of 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: Collaborate 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