Marketing Mix Modeling Analyst

About the Role

Key Responsibilities

• Oversight of development and implementation of marketing mix models to assess the impact of various 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 clear and compelling 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

• Bachelor's degree in Marketing, Statistics, Data Science, Economics, or a related field; Master's degree preferred.
• Proven experience in marketing analytics, data analysis, or a related role, preferably with a focus on marketing mix modeling.
• Proficiency in statistical software (e.g., R, Python, SAS) and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of marketing principles and metrics, including ROI, customer acquisition cost, and lifetime value.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Ability to communicate complex data insights in a clear and actionable manner to non-technical stakeholders.
• Strong project management skills and the ability to work collaboratively in a fast-paced environment.
• At least 3 years of experience in marketing mix modeling, data modeling, data analysis, and building models.
• 1 year of experience in client/customer-facing roles.
• Location: Plano, TX, with ability to commute.

Nice to Have

• Experience with machine learning techniques and advanced statistical methods.
• Knowledge of digital marketing channels and their measurement.
• Experience in the Automotive vertical.

Qualifications

• Bachelor's degree (required).
• 4 years of experience in marketing analytics.
• 4 years of experience in data analysis.
• 1 year of experience with statistical software (R, Python, SAS).
• 3 years of experience with data visualization tools (Tableau, Power BI).
• 3 years of experience in data analytics, building models, and data modeling.
• 1 year of client/customer-facing experience.