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Marketing Mix Modelling Jobs (NOW HIRING)

Nello

Graphic Designer

Design creative for email, paid + organic social, web, and marketing campaigns * Create ads and ... A strong portfolio with a mix of digital and some print work * Proficiency in Adobe Creative Suite ...

Biogen

Senior Manager Forecasting-Neuropsych

Cambridge, MA · On-site

$119K - $162K/yr

The role offers a mix of analytical, strategic, and operational work and the opportunity to ... Marketing, I&A leads, Finance) proactively and reactively developing business case scenarios, and ...

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Marketing Mix Modelling information

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$13

$32

$56

How much do marketing mix modelling jobs pay per hour?

As of Jun 24, 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.
Senior Manager, Marketing Analytics

Senior Manager, Marketing Analytics

Ripple

New York, NY

$170K - $200K/yr

Full-time

Retirement, PTO

Posted 18 days ago

Job description

At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
THE WORK:
We are growing, and so is the breadth and depth of our marketing programs, with AI at the core of how we scale. We are looking for a highly motivated, diligent, and data-driven Senior Marketing Analytics Manager to join our Marketing Operations team. Reporting into the Director, Marketing Operations and Demand Generation, this role will serve as the analytical backbone of our growth marketing engine - leading the measurement, visualization, and insights infrastructure that drives smarter investment decisions and executive-level confidence in our marketing performance.
In this role, you will own analytics and reporting across all growth marketing functions, from campaign performance to pipeline attribution. You'll partner closely with Growth Marketing, Finance, RevOps, and other cross-functional teams to ensure data is accurate, accessible, and actionable across the full funnel. You'll also be a practitioner and champion of AI-powered tools - using them to automate workflows, accelerate insight generation, and elevate the sophistication of our marketing measurement at scale.
You'll use data to continuously improve reporting efficiency, forecast accuracy, and budget allocation decisions, helping ensure our marketing analytics engine drives measurable impact on pipeline and revenue.
WHAT YOU'LL DO:
  • Own analytics and end-to-end measurement across all growth marketing functions, ensuring consistent and actionable reporting from spend to revenue.
  • Lead the visualization and reporting infrastructure across growth marketing, translating complex data into clear, compelling dashboards and narratives for stakeholders at all levels.
  • Lead pipeline attribution, ROI, CAC, LTV, and Ad spend distribution analyses to inform investment decisions, and partner with Growth Marketing, Finance, and RevOps on spend pacing and forecasting.
  • Evolve attribution modeling and performance measurement frameworks, using AI and machine learning to improve accuracy and scalability.
  • Apply AI-powered tools and predictive modeling to surface proactive insights, identify trends, and support faster, more confident decision-making across the marketing team.
  • Empower experimentation programs with thorough data-driven insights, including A/B testing and lift analyses.
  • Partner with the RevOps, Business Intelligence and Marketing Operations teams to use Salesforce, Tableau, MCI and other platforms, to build reporting that connect spend to pipeline and revenue.
  • Identify opportunities to automate reporting and analytics workflows using AI to increase efficiency and reduce manual effort.
  • Ensure data quality and integrity across CRM and marketing systems.

WHAT YOU'LL BRING:
  • 5+ years of experience in marketing analytics, growth analytics, or a related field
  • Deep expertise in growth marketing measurement methodologies across the funnel
  • Hands-on experience with Salesforce CRM and marketing data pipelines
  • Familiarity with AI and machine learning concepts as applied to marketing analytics, such as predictive modelling, anomaly detection, or automated insights
  • Strong proficiency in data visualization tools (e.g., Tableau, Looker, or similar)
  • Experience with attribution modeling, media mix modeling, and/or incrementality testing
  • Proficiency in SQL; experience with Python or R is a plus
  • Proven track record in leading forecasting and budget analysis in partnership with Finance and Revenue Operations
  • Excellent communication skills with the ability to present complex data clearly to both technical and executive audiences
  • Strong cross-functional collaboration skills - you're as comfortable in a strategy meeting as you are in a data model

For positions that will be based in NY, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant's experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions.
NY Annual Base Salary Range
$170,000-$200,000 USD
WHO WE ARE:
Do Your Best Work
  • The opportunity to build in a fast-paced start-up environment with experienced industry leaders
  • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
  • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
  • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
  • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team
  • We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!

Take Control of Your Finances
  • Competitive salary, bonuses, and equity
  • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
  • Employee giving match
  • Mobile phone stipend

Take Care of Yourself
  • R&R days so you can rest and recharge
  • Generous wellness reimbursement and weekly onsite & virtual programming
  • Generous vacation policy - work with your manager to take time off when you need it
  • Industry-leading parental leave policies. Family planning benefits.
  • Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events

Benefits listed above are for full-time employees.
Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.
Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.

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