2

Remote Marketing Mix Modeling Jobs (NOW HIRING)

$150K - $185K/yr

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

$150K - $185K/yr

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

$150K - $185K/yr

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

$150K - $185K/yr

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

$150K - $185K/yr

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

$150K - $185K/yr

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

$150K - $185K/yr

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

$150K - $185K/yr

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

$150K - $185K/yr

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

Lead the application of advanced analytical methodologies--including Marketing Mix Modeling, incrementality measurement, attribution, forecasting, and predictive analytics--to improve marketing ...

... with marketing mix modeling • Advanced Python/R skills plus expert SQL - you'll be building production pipelines and complex models, not just ad-hoc analysis • High ownership mentality ...

Apply performance analytics and marketing mix modeling to optimize investment decisions * Translate upper-funnel strategies into high-performing lower-funnel retail media plans * Identify test-and ...

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 ...

Showing results 41-60

Remote Marketing Mix Modeling information

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$13

$32

$56

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

As of Aug 6, 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?

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 August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $67,990 per year, or $32.7 per hour.

AD/Sr. AD, Business Analytics - Oncology (Remote)

Boehringer Ingelheim Pharmaceuticals, Inc

Ridgefield, CT • On-site, Remote

$170K - $269K/yr

Full-time

Re-posted 21 days ago


Job description

Compensation Data
The base salary range for this position is $170,000 to $269,000. The position may be eligible for a role specific discretionary bonus, relocation, and/or other compensation elements. We continuously review market data and may adjust salary ranges as needed in the future. Actual compensation will be based on job-related factors such as skills, experience, and qualifications, and other factors permitted by law. For an overview of our benefits please click here.
Description
The Associate Director, Business Analytics role supports multiple customer groups within the oncology therapeutic area & will be an expert in statistical methodologies for measuring marketing impact, will have a broad understanding of the pharmaceutical industry, and a deep familiarity with industry data sources, including claims data. This role requires using sophisticated analytics for projects including marketing mix modeling, ROI analyses on all relevant marketing programs/customer channels and promotional spends, patient data analytics such as patient flow analyses, non-personal promotion/digital analytics and reporting, customer profiling, targeting, and segmentation, and predictive modeling.
Responsibilities for this role include the conducting and interpretation of advanced analytics to support decision making on promotional strategies and effectiveness (ROI and Marketing Mix analysis), supporting brand planning through targeting, segmentation, and non-personal/digital activity tracking, and setting up experimental pilots to support testing and learning.
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees
Duties & Responsibilities
  • Accountabilities
    • Conducts advanced analytics to brand teams/customer channels in support of brand planning and promotional resource allocation. Resource allocation in customer channels including digital and evolution of commercial model.
    • Liaises between Marketing and Sales in the development of business tactics and strategies
    • Responsible for leading the development of targets and segments that are aligned with business strategy.
    • Responsible for executing departmental procedures and collaborating within the organization to ensure the marketing strategy is integrated into delivered sales force call plans for both in person and virtual / non-personal digital, telephone plans etc.
    • Works with internal customers to assure that responsible analytical results are communicated and used effectively.
    • Builds and shares knowledge of analytical methodologies and high-quality vendors including third party digital agencies with others in the department.
    • Establishes work habits to support the therapeutic business function's evolving process and execution needs.

    Regulatory and/or Organizational Requirements:
    • Document analytical insights and communicate them appropriately.

    Job Complexity:
    • Successful coordination with other functions and within cross functional teams is necessary for success in this position
    • Interfaces: Brand Teams, Other Marketing Teams, Forecasting, Marketing Research and Business Intelligence, Commercial Operations, Sales, etc.

    Job Expertise:
    • Database proficiency (R/Sql/Python/SAS, strong statistical and analytical skill along with adapting to the business.

    Job Impact:
    • Attaining brand's budget goals; Insights driving timely course corrections for flawless execution driving sales; Disruptive Analytics challenging status quo resulting in best in class capability of our assets

Requirements
  • AD Requirements
    • Bachelor's degree and seven (7) years of analytic experience with relevant data sources and analytical methodologies.
    • OR
    • Master's degree and five (5) years of experience with relevant data sources and analytical methodologies.
    • Proficiency in the development, documentation and communication of analytical plans.
    • Proficiency in advanced analytical techniques including multivariate analytical and promotional responsiveness techniques.
    • Proficiency in customer identification and segmentation that has influenced marketing and sales strategy.
    • Experience in conducting digital analytics (non-personal marketing tactics such as email, banner, mobile and alerts) or working in another analytical field with a demonstrated passion for digital technology.
    • Experience in using claims data to conduct patient data analytics, including but not limited to patient flow analyses, to better understand the patient journey.
    • Experience in analyzing campaigns and performing in-campaign analytics to improve performance and working with Consumer marketing databases.
    • Experience in understanding customer needs, incorporating in deliverable, and ensuring recommendations/results and implemented.
    • Experience in coordinating insights from disparate functions and sources, e.g., marketing research, forecasts, etc., into a comprehensive and insightful analysis and/or recommendation.
    • Proficiency in R/Python and / or SAS and other data extraction and analytical tools such as SQL, etc., Experience with Excel and Power Point.
    • Strong interpersonal abilities.
    • Expertise in Oncology and/or Rare Disease required.
    • Ability to manage multiple projects at the same time.

    Sr.AD
    • Bachelor's degree from an accredited institution required. Master's/PhD preferred.
    • BS/BA in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent with eight (8) years, or Master's degree in Mathematics, Statistics, Engineering, Business/Data analytics, or a related equivalent with six (6) years of healthcare/pharmaceutical industry or academic experience.
    • Experience must also include working directly with product targeting, segmentation, digital media data reporting, claims data analysis, and promotion-response modeling.
    • Strong statistical background with extensive modeling experience.
    • Proficiency in SAS and other data extraction and analytical tools such as SQL. Experience with Excel and Power Point.
    • Strong interpersonal abilities, can manage multiple projects and direct reports at the same time.
    • Functional competencies: Analytical skills, Business orientation, influence
    • Expertise in Oncology and/or Rare Disease required.

    Eligibility Requirements:
    Must be legally authorized to work in the United States without restriction.
    Must be willing to take a drug test and post-offer physical (if required).
    Must be 18 years of age or older.