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Remote Marketing Mix Modeling Jobs (NOW HIRING)

Sephora

Senior Analyst, Marketing Effectiveness

CA · Remote

$104K - $129K/yr

Remote Your safety matters to us. All official Sephora US recruitment emails will come from a ... Marketing Mix Modeling Expertise. Experience running Marketing Mix Models or other regression and ...

Mondo

Director, Performance Marketing

Manhattan, NY · Remote

$55 - $65/hr

Remote EST hours Start Date Is: ASAP Duration: (contract, perm, etc) 3-6 Month Contract (can extend ... Oversee Marketing Mix Modeling (MMM) reporting and performance analysis to evaluate media ...

Twin Health

Senior Marketing Analyst

$104K - $129K/yr

Own marketing mix modeling (MMM) end to end - building, validating, and refreshing models that ... This remote opportunity based out of the U.S. Applicants must be authorized to work for any ...

Twin Health

Senior Marketing Analyst

$104K - $129K/yr

Own marketing mix modeling (MMM) end to end - building, validating, and refreshing models that ... This remote opportunity based out of the U.S. Applicants must be authorized to work for any ...

Reddit

Staff Data Scientist, Marketing

We're completely remote friendly. Team Description: The Marketing Science team at Reddit leverages ... Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to mathematically ...

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How much do remote marketing mix modeling jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote 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 is remote marketing mix modeling?

Remote Marketing Mix Modeling (MMM) is a data-driven approach where marketing analysts or data scientists evaluate the effectiveness of various marketing channels and tactics from a remote location. By analyzing sales and marketing data, MMM helps organizations understand which marketing activities contribute most to sales or other key performance indicators. This allows businesses to optimize their marketing budgets and strategies for better ROI, all while enabling professionals to work from anywhere. Remote MMM leverages advanced statistical techniques and software tools, making collaboration and analysis possible without the need for in-person meetings.

What are the key skills and qualifications needed to thrive as a remote marketing mix modeling professional?

To thrive as a Remote Marketing Mix Modeling professional, you need strong analytical skills, a background in statistics or econometrics, and proficiency in data-driven marketing, often supported by a relevant degree. Expertise in tools such as Python, R, SQL, and experience with marketing analytics platforms or statistical modeling software is typically required. Excellent problem-solving, communication, and time management skills help you interpret data and convey actionable insights to stakeholders remotely. These skills are crucial for accurately measuring marketing effectiveness and driving data-informed business decisions from a remote setting.

How does a remote marketing mix modeling professional typically collaborate with cross-functional teams to deliver actionable insights?

Remote Marketing Mix Modeling professionals often work closely with marketing, data analytics, and finance teams to gather relevant data, align on business objectives, and translate complex statistical findings into practical recommendations. Collaboration is usually facilitated through regular virtual meetings, shared digital workspaces, and clear documentation to ensure transparency and alignment. Strong communication skills are essential for effectively presenting insights to both technical and non-technical stakeholders, ensuring that modeling results drive informed marketing strategies and budget decisions.

What is the difference between Remote Marketing Mix Modeling vs Remote Data Analyst?

AspectRemote Marketing Mix ModelingRemote Data Analyst
Required CredentialsDegree in Marketing, Statistics, or Economics; experience with modeling toolsDegree in Data Science, Statistics, or related field; proficiency in data analysis software
Work EnvironmentFocus on marketing data, campaign performance, and ROI analysisBroader data analysis across various business functions
Employer & Industry UsageMarketing agencies, consumer brands, retailFinance, healthcare, technology, retail
Search & Comparison IntentUnderstanding modeling techniques specific to marketingAnalyzing data sets for insights across departments

Remote Marketing Mix Modeling specialists focus on analyzing marketing data to optimize campaigns and measure ROI, often requiring expertise in marketing analytics and statistical modeling. Remote Data Analysts handle a broader range of data analysis tasks across various business functions, emphasizing data interpretation and reporting. While both roles involve data skills, their focus areas and industry applications differ significantly.

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Remote Marketing Mix Modeling jobs near you
Infographic showing various Remote Marketing Mix Modeling job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 82% Physical, 3% 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

Marriott International

Remote

Full-time

Re-posted 9 days ago

Marriott International rating

6.4

Company rating: 6.4 out of 10

Based on 1,187 frontline employees who took The Breakroom Quiz

55th of 107 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 is a hospitality company that operates, franchises, and licenses hotels, residential, and timeshare properties. Founded in 1927, the company is headquartered in Bethesda, USA, with a team of 10001+ employees. The company is currently Late Stage.

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