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Marketing Mix Modeling Jobs (NOW HIRING)

Role Summary URBN is hiring an Analyst, Marketing Mix with experience in Multi Touch Attribution (MTA) and Marketing Mix Models (MMM) to help better measure and optimize the effectiveness of our ...

Role Summary URBN is hiring an Analyst, Marketing Mix with experience in Multi Touch Attribution (MTA) and Marketing Mix Models (MMM) to help better measure and optimize the effectiveness of our ...

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How much do marketing mix modeling jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for marketing mix modeling in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $43.27 per hour, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of someone working in Marketing Mix Modeling?

Professionals in Marketing Mix Modeling spend their days gathering and cleaning large sets of marketing and sales data, applying statistical models to understand the impact of various marketing channels, and developing insights to optimize marketing spend. They routinely collaborate with cross-functional teams such as marketing, finance, and data science to align strategies and present actionable recommendations. Regular tasks include data visualization, preparing reports for stakeholders, and responding to ad hoc analysis requests. The role is both analytical and consultative, requiring frequent communication with both technical and non-technical team members.

What are the key skills and qualifications needed to thrive in the Marketing Mix Modeling position, and why are they important?

To thrive in Marketing Mix Modeling, you need a strong background in statistics, data analysis, and marketing principles, typically supported by a degree in economics, statistics, mathematics, or a related field. Familiarity with statistical software such as R, Python, SAS, or specialized marketing analytics tools, along with experience in handling large datasets, is highly valued. Exceptional problem-solving abilities, attention to detail, and effective communication skills are key soft skills for this position. These competencies are crucial for translating complex data into actionable business strategies that drive marketing ROI.

What is a Marketing Mix Modeling job?

A Marketing Mix Modeling (MMM) job involves analyzing the impact of various marketing channels (such as TV, digital, radio, and print) on sales and business performance. Professionals in this role use statistical models and data analytics to measure the effectiveness of marketing campaigns, optimize budget allocation, and forecast future outcomes. They work with large datasets, apply econometric techniques, and collaborate with stakeholders to improve marketing strategies. Strong skills in data analysis, statistical modeling, and business acumen are essential for success in this role.

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Infographic showing various Marketing Mix Modeling job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $67,990 per year, or $32.7 per hour.
Senior Manager, Marketing Mix Modeling Analytics

Senior Manager, Marketing Mix Modeling Analytics

Marriott International

Remote

Full-time

Posted yesterday


Marriott International rating

6.4

Company rating: 6.4 out of 10

Based on 1,143 frontline employees who took The Breakroom Quiz

50th of 105 rated hotels


Job description

Job Summary:
Marriott International is a leading hospitality company, and they are seeking a Senior Manager, Marketing Mix Modeling Analytics. This role is responsible for delivering insights that optimize marketing performance through analytics initiatives such as marketing mix modeling and ROI analysis, while collaborating with marketing leaders and cross-functional teams to drive data-driven decision-making.
Responsibilities:
• Partner with an external vendor and internal marketing teams to deliver Marketing Mix Modeling (MMM) insights.
• Translate complex analytical findings into clear, compelling narratives and strategic recommendations tailored for senior leadership.
• Design and apply causal inference methodologies (e.g., randomized controlled trials, differences in differences, synthetic controls, instrumental variables) to isolate incremental impact and inform decision-making.
• Partner with data engineering, data science, and visualization teams to ensure analytics are supported by reliable, well-structured, and accessible data assets.
• Stay current on industry best practices and emerging trends in marketing measurement, experimentation, and advanced analytics.
• Manage multiple projects simultaneously and prioritize based on business impact.
• Support development of KPI frameworks and measurement methodologies.
Qualifications:
Required:
• Bachelor’s degree in Business, Analytics, Statistics, or related field; advanced degree a plus.
• At least 5 years of experience in advanced analytics preferred.
• Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables)
• Hands-on knowledge of running incrementality studies (geo-based and audience-based hold-outs, synthetic controls)
• Strong familiarity with MMM validation techniques (in-market and out-of-sample model validations)
• Strong understanding of full-funnel marketing and media channels (digital, TV, retail media, paid social, search), as well as relevant measurement frameworks
• Ability to translate insights into strategic recommendations for business leaders.
Company:
Marriott International, Inc. Founded in 1998, the company is headquartered in Bethesda, USA, with a team of 10001+ employees. The company is currently Late Stage.

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