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Marketing Mix Modelling Jobs (NOW HIRING)

AEG

Performance Marketing Manager

Denver, CO · Remote

$85K - $120K/yr

As a Performance Marketing Manager, you will join a growing Marketing team, supporting the ... MTA), Media Mix Modelling (MMM), and Incrementality and proven ability in driving continuous ...

DAZN

Head of Acquisition Trading

New York, NY

$120K - $180K/yr

Experience in digital performance marketing or trading roles * Strong understanding of media mix modelling and ROI analysis * Commercial mindset and comfort with budget ownership * Excellent ...

DAZN

Head of Acquisition Trading

New York, NY · On-site

$120K - $180K/yr

Experience in digital performance marketing or trading roles * Strong understanding of media mix modelling and ROI analysis * Commercial mindset and comfort with budget ownership * Excellent ...

Reddit

Senior Ads Measurement Lead

New York, NY

This role will be an integral part of the Marketing Sciences team, and overall Revenue organization ... media mix modelling (MMM) * Knowledge of North America Measurement solutions and norms. * A ...

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Marketing Mix Modelling information

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How much do marketing mix modelling jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for marketing mix modelling 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 key skills and qualifications needed to thrive as a Marketing Mix Modelling Analyst, and why are they important?

To thrive as a Marketing Mix Modelling Analyst, you need a strong background in statistics, econometrics, and data analysis, typically supported by a degree in mathematics, economics, or a related field. Proficiency with analytical tools such as Python, R, SQL, and specialized software like SAS or Nielsen’s MMM solutions is often required. Strong communication, problem-solving skills, and the ability to translate complex data into actionable insights make someone stand out in this position. These skills are critical for accurately measuring marketing effectiveness and guiding strategic business decisions in complex, data-driven environments.

What is Marketing Mix Modelling?

Marketing Mix Modelling (MMM) is a statistical analysis technique used by businesses to evaluate the impact of various marketing tactics, such as advertising, promotions, pricing, and distribution, on sales or other key performance indicators. By analyzing historical data, MMM helps marketers understand which channels and strategies are driving results and how to optimize future marketing spend. This approach provides valuable insights for allocating budgets effectively and measuring return on investment from different marketing activities.

What is the difference between Marketing Mix Modelling vs Media Planner?

AspectMarketing Mix ModellingMedia Planner
Primary FocusAnalyzing and optimizing marketing channels and budget allocationPlanning and selecting media channels for advertising campaigns
Skills & CertificationsData analysis, statistical modeling, marketing analyticsMedia buying, campaign planning, market research
Work EnvironmentData-driven, analytical, often in marketing or analytics teamsCreative, strategic, often in advertising agencies or marketing departments

While both roles involve marketing strategies, Marketing Mix Modelling focuses on analyzing data to optimize overall marketing spend, whereas Media Planners concentrate on selecting the best media channels for specific campaigns. Understanding these differences helps organizations assign the right roles for data analysis versus media strategy.

What are some common challenges faced when implementing Marketing Mix Modelling (MMM) in an organization?

One of the main challenges of working in Marketing Mix Modelling is ensuring access to high-quality, granular data from multiple sources, such as sales, advertising, and external market factors. Data integration and cleansing can be time-consuming and require strong attention to detail. Additionally, effectively communicating technical findings and recommendations to non-technical stakeholders is key to driving business impact. As part of the MMM team, you'll often collaborate closely with marketing managers, data engineers, and business analysts to align on objectives and implement actionable strategies.
Infographic showing various Marketing Mix Modelling job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $67,990 per year, or $32.7 per hour.
Data Scientist / Analyst ( Marketing mix Modelling )

Data Scientist / Analyst ( Marketing mix Modelling )

Redolent, Inc

San Mateo, CA

Other

Posted 12 days ago

Job description

One of our direct client is urgently looking for following resource
TITLE: Data Scientist / Analyst ( Marketing mix Modelling )
LOCATION:San Bruno, CA or Hoboken, NJ, Bentonville, AR or Chicago, IL
Rate: DOE
MUST SKILLS
  • Senior level experience
  • Python programming - Expert
  • Experience in "Marketing mix modelling" ( Media or marketing or advertising experience domain ) is MUST
  • Good experience in SQL
  • Experiencein data science

Responsibilities
Perform hands-on coding to retrieve and analyze large datasets using Python and SQL
Integrate disparate data sources and leverage state-of-the-art analytics best practices to deliver integrated actionable insights to partners and stakeholders
Manage and streamline data extraction process with great attention to details
Assess the potential usefulness, validity, and rigor of new data sources
Work with cross-functional team to ensure high quality of the data
Build hands-on media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to stakeholders
Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems
Minimum Qualifications
Master's degree in statistics, economics, operations research, engineering, or related field
4+ years of experience in data science, MMM, measurement, marketing strategy & analytics
Proficient coding skills (Python/SQL) and relational database knowledge and knowledge on Tableau
Experience in integrating, structuring, and analyzing large amounts of data from diverse sources
Extensive experience with predictive modeling algorithms
Strong project management skills and attend-to-detail documentation skills.
Strong written & verbal communication with the ability to communicate complex technical topics clearly to a range of audiences and to 'tell a story' that provides insight into the business
You have a passion for working in a fast-paced agile environment.
A collaborative mindset and sense of curiosity
Preferred Qualifications
PhD degree in Statistics, Economics, Operations Research, or related field
Experienced in building market mix and multi-touch attribution models
Experience with advertising, measurement, and/or digital marketing analytics
Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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