Overview
Hybrid3 days onsite to start with, later 4 days onsite.
$85 - $90
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Analytical Skill
Data Visualization
Marketing
Python
R
SAS
Microsoft Power BI
Marketing Strategy
Tableau
Data Modeling
Statistical Modeling
Scenario Analysis
Marketing Mix Modeling
Marketing Analytics
Job Details
Marketing Mix Modeling (MMM) Analyst Contract to Hire | Hybrid (Onsite 3 4 Days/Week)
We are seeking a detail-oriented and analytical Marketing Mix Modeling Analyst to join a dynamic marketing analytics team. This role involves developing and implementing MMM models, supporting cross-functional collaboration, and driving data-informed decision-making to optimize marketing spend and performance.
Contract Duration: 12 months (possibility of full-time conversion)Location: Hybrid 3 days onsite to start, later 4 days onsite
Interview Process: 2 rounds onsite (Hiring Manager + Panel Interview)
What You ll Do:
- Lead the development and implementation of marketing mix models to evaluate the impact of marketing channels on sales and brand performance.
- Analyze large datasets to identify trends, patterns, and actionable insights.
- Partner with cross-functional teams (media, marketing, and sales) to align analytics with business objectives.
- Present findings and recommendations to stakeholders through compelling reports and visualizations.
- Conduct scenario analysis and forecasting to support strategic planning and budget allocation.
- Monitor campaign performance and provide insights for ongoing optimization.
- Support the creation of dashboards and tracking tools.
What We re Looking For (Top Must-Haves):
- 2+ years of hands-on experience with Marketing Mix Modeling (MMM) and analytics.
- Strong client/customer-facing experience with excellent communication & presentation skills.
- Solid marketing background with deep knowledge of data science, analytics, and business applications.
- Experience in data modeling, forecasting, and scenario planning for marketing strategy.
- Proficiency in statistical tools (R, Python, SAS) and familiarity with data visualization tools (Tableau, Power BI).
Preferred Skills:
- Exposure to machine learning and advanced statistical methods.
- Knowledge of digital marketing channels and their measurement.
- Experience in the automotive or related verticals.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.