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Remote Marketing Mix Modeling Jobs (NOW HIRING)

Lead or collaborate on Marketing Mix Modeling (MMM) engagements - either scoping vendor-run models ... Remote (North America, Western Europe) Diversity, Equity, and Inclusion Pearmill is a diverse ...

Technical Product Manager

Needham, MA · Remote

$160K - $170K/yr

Hybrid/Remote (Needham, MA preferred) Start Date Is: Within 2 weeks of offer Duration: Permanent ... marketing performance optimization * Experience with Media Mix Modeling (MMM) and understanding of ...

Technical Product Manager

Needham Heights, MA · On-site +1

$160K - $170K/yr

Hybrid/Remote (Needham, MA preferred) Start Date Is: Within 2 weeks of offer Duration: Permanent ... marketing performance optimization * Experience with Media Mix Modeling (MMM) and understanding of ...

... as marketing mix modeling (MMMs), mobile marketing measurement, and geo-based incrementality ... Remote Travel requirements - As a digital first company, the majority of your work can be ...

$210K - $245K/yr

Support and further establish industry-leading measurement capabilities including incrementality testing, marketing mix modeling, attribution, forecasting, causal inference, experimentation, and ...

New

$210K - $245K/yr

Support and further establish industry-leading measurement capabilities including incrementality testing, marketing mix modeling, attribution, forecasting, causal inference, experimentation, and ...

New

$210K - $245K/yr

Support and further establish industry-leading measurement capabilities including incrementality testing, marketing mix modeling, attribution, forecasting, causal inference, experimentation, and ...

New

Senior Director, Paid Media

New York, NY · Remote

$210K - $245K/yr

Support and further establish industry-leading measurement capabilities including incrementality testing, marketing mix modeling, attribution, forecasting, causal inference, experimentation, and ...

New

Senior Director, Paid Media

UT · Remote

$210K - $245K/yr

Support and further establish industry-leading measurement capabilities including incrementality testing, marketing mix modeling, attribution, forecasting, causal inference, experimentation, and ...

New

Senior Director, Paid Media

Minneota, MN · Remote

$210K - $245K/yr

Support and further establish industry-leading measurement capabilities including incrementality testing, marketing mix modeling, attribution, forecasting, causal inference, experimentation, and ...

New

Senior Director, Paid Media

MO · Remote

$210K - $245K/yr

Support and further establish industry-leading measurement capabilities including incrementality testing, marketing mix modeling, attribution, forecasting, causal inference, experimentation, and ...

New

$210K - $245K/yr

Support and further establish industry-leading measurement capabilities including incrementality testing, marketing mix modeling, attribution, forecasting, causal inference, experimentation, and ...

New

Senior Director, Paid Media

OH · Remote

$210K - $245K/yr

Support and further establish industry-leading measurement capabilities including incrementality testing, marketing mix modeling, attribution, forecasting, causal inference, experimentation, and ...

New

$210K - $245K/yr

Support and further establish industry-leading measurement capabilities including incrementality testing, marketing mix modeling, attribution, forecasting, causal inference, experimentation, and ...

New

$210K - $245K/yr

Support and further establish industry-leading measurement capabilities including incrementality testing, marketing mix modeling, attribution, forecasting, causal inference, experimentation, and ...

New

$210K - $245K/yr

Support and further establish industry-leading measurement capabilities including incrementality testing, marketing mix modeling, attribution, forecasting, causal inference, experimentation, and ...

New

$210K - $245K/yr

Support and further establish industry-leading measurement capabilities including incrementality testing, marketing mix modeling, attribution, forecasting, causal inference, experimentation, and ...

New

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Remote Marketing Mix Modeling information

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$32

$56

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

As of Jul 17, 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.

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 are the key skills and qualifications needed to thrive as a Remote Marketing Mix Modeling professional, and why are they important?

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.

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 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.

More about Remote Marketing Mix Modeling jobs
What cities are hiring for Remote Marketing Mix Modeling jobs? Cities with the most Remote Marketing Mix Modeling job openings:
What are the most commonly searched types of Marketing Mix Modeling jobs? The most popular types of Marketing Mix Modeling jobs are:
What states have the most Remote Marketing Mix Modeling jobs? States with the most job openings for Remote Marketing Mix Modeling jobs include:
Infographic showing various Remote Marketing Mix Modeling job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 9% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $67,990 per year, or $32.7 per hour.

Full-time

Posted 12 days ago


Job description

About the company
You've never worked for a company quite like Pearmill. We're a bunch of eclectic folks paving our own path in the world of technology, marketing, and advertising.
We're a diverse group of designers, engineers, and marketers from across the world, working together to help grow challenger brands and fast-growing startups through art and technology.
Pearmill is a performance marketing agency that outperforms expectations, using data-driven insights and relentless innovation for exponential growth.
About the role
We're looking for an Analytics Lead to own the full measurement stack - from the pixels firing on a client's checkout page to the incrementality test that tells us whether that Meta campaign is actually moving the needle. This is a player-coach role: you'll set the measurement philosophy and learning agenda for the agency, manage a junior tracking specialist who handles hands-on QA and implementation, and work directly with client teams to translate data into decisions.
This role sits at the intersection of analytics engineering, measurement science, and performance strategy. You won't just build dashboards - you'll design the tests that prove whether our work is working.
What you'll own
Tracking & data infrastructure
  • Own the end-to-end tracking architecture across all client accounts: Google Tag Manager, GA4, CDPs (Segment, RudderStack, Teleaum, etc.), Meta Pixel + CAPI, Google Ads Enhanced Conversions, TikTok Events API, and any other ad network data pipelines - and be well versed enough in these systems to support clients hands-on with implementation
  • Define tagging standards, naming conventions, and data layer specifications for new client onboarding
  • Review and sign off on all pixel/tag implementations done by the junior tracking specialist before anything goes live
  • Lead tracking QA processes: diagnose misfires, validate conversion events, and ensure data integrity across environments (dev, staging, production)
  • Own server-side tracking setups and consent-mode configurations as privacy requirements evolve
Measurement frameworks & strategy
  • Build measurement plans for every client: define the KPIs that actually matter, the attribution approach best suited to their funnel, and the testing roadmap for the next 6-12 months
  • Design and run incrementality tests - geo-based holdouts, PSA holdout tests, conversion lift studies - and translate results into media budget recommendations
  • Interpret and pressure-test platform-reported metrics (Meta Ads Manager, Google Ads, etc.); challenge results that don't hold up to scrutiny
  • Lead or collaborate on Marketing Mix Modeling (MMM) engagements - either scoping vendor-run models or building lightweight versions in-house
  • Own the cross-channel attribution model: evaluate last-click vs. data-driven vs. time-decay approaches per client context and document your rationale
Reporting & insights
  • Build and maintain executive-level dashboards (Looker Studio, Looker, Power BI, or equivalent) that go beyond vanity metrics to show incremental business impact
  • Establish a regular reporting cadence: weekly performance pulse, monthly deep-dives, and quarterly measurement reviews with clients
  • Write clear, opinionated insight narratives - not just charts - that connect data to the decisions clients need to make
Team & practice development
  • Manage one junior Analytics/Tracking Specialist: set their priorities, review their work, give them a clear growth path
  • Build the analytics practice playbook: onboarding templates, tracking specs, measurement plan frameworks, experiment design guides
  • Stay current on the ad platform measurement landscape - platform pixel changes, consent/privacy shifts, new incrementality products from Meta, Google, TikTok - and update internal practices accordingly
You're a strong fit if you have
  • 4-7 years of experience in marketing analytics, measurement, or marketing science at a performance agency or fast-moving in-house growth team
  • Hands-on GTM expertise: you've built complex container setups yourself, not just documented them for a developer
  • Real incrementality testing experience - you've designed a geo holdout or conversion lift test, run it, and presented the results to a skeptical client
  • Solid understanding of the full ad network measurement stack: Meta CAPI, Google Enhanced Conversions, GA4 event model, server-side tagging, and how privacy regulations affect all of it
  • Proficiency in SQL - you can write your own queries to pull and validate raw data without asking a data engineer
  • Ability to communicate complex findings to non-technical stakeholders without dumbing them down or losing accuracy
  • Comfortable being the final word on "is our tracking trustworthy?" for a portfolio of clients simultaneously
Bonus points
  • Python or R experience for statistical modeling or automation
  • Experience building or interpreting Marketing Mix Models
  • Familiarity with measurement platforms like Northbeam, Triple Whale, Measured, or Rockerbox
  • Prior experience managing or mentoring a junior analyst
What this role is not
This is not a pure data engineer role - you won't spend all day writing pipelines. It's also not a media buyer role - you won't own campaign execution. You're the person between the two: you make sure the data is trustworthy, and then you use that data to tell us what's actually working.
Type: Full-Time • Location: Remote (North America, Western Europe)
Diversity, Equity, and Inclusion
Pearmill is a diverse company with team members hailing from all backgrounds and walks of life. We're a globally-distributed team and committed to continuing to build a company that represents the world we live in. We encourage candidates of underrepresented groups to apply.