Marketing Mix Modeling Analyst

About the Role

Key Responsibilities

• Oversee the development and implementation of marketing mix models to assess the impact of marketing channels on sales and brand performance.
• Analyze large datasets to identify trends, patterns, and insights that inform marketing strategies.
• Collaborate with cross-functional teams, including media, marketing, and sales, to gather data and understand business objectives.
• Present findings and recommendations to stakeholders through reports and visualizations.
• Monitor and evaluate the performance of marketing campaigns, providing actionable insights for optimization.
• Stay updated on industry trends, best practices, and emerging technologies in marketing analytics and data science.
• Conduct scenario analysis and forecasting to support strategic planning and budget allocation.
• Assist in the development of dashboards and tools for ongoing performance tracking.

Requirements

• Experience with data analytics for at least 2 years.
• Experience with marketing mix modeling for at least 2 years.
• Knowledge of data visualization for at least 3 years.
• Proficiency with R, Python, and SAS for at least 2 years.
• Understanding of data modeling, business applications, and how data works.
• Experience in building models and conducting scenario analysis and forecasting.
• Strong communication skills, including public speaking and collaboration with cross-functional teams.
• Experience in client/customer-facing roles.
• Deep understanding of data science analytics and marketing principles, with 5 years of marketing experience preferred.

Nice to Have

• Experience with marketing principles (5 years preferred).
• Experience with data visualization tools (3 years preferred).

Qualifications

• 2 years of experience in data analytics.
• 2 years of experience in marketing mix modeling.
• 2 years of experience with R, Python, and SAS.