Marketing Mix Modeling Lead

Overview

Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

Who we're looking for

Toyota is seeking a highly analytical and business-minded Marketing Mix Modeling (MMM) Lead to support data-driven marketing measurement and optimization efforts. The primary responsibility of this role is to analyze marketing performance across
channels, develop marketing mix models, generate actionable insights, and help improve media investment decisions through advanced analytics and presenting findings to executive stakeholders and partners.

Reporting to the Manager, Marketing Analytics, you will play a key role in evaluating the effectiveness of marketing campaigns and supporting strategic decisions that drive business growth, customer engagement, and efficient media spend.

What you'll be doing

In this role, your analytical expertise and strategic mindset will help measure the impact of marketing investments and uncover insights that improve campaign effectiveness. This includes implementation, stakeholder management, data collection, measurement strategy, and executive presentations. Success in this position means translating
complex data into clear recommendations that help stakeholders optimize media and marketing performance and maximize return on investment.
Develop, maintain, and enhance marketing mix models to measure the impact of
media and non-media drivers on business performance.
Analyze historical sales, campaign, promotional, digital, and external market data
to identify key business drivers and performance trends.
Serve as lead for presenting insights, recommendations, and readouts to internal and external stakeholders.
Prepare clear and compelling presentations, dashboards, and reports. Conduct training and education sessions for MMM methodology and readouts.
Oversee the development, maintenance, and enhancements of measurement strategies and frameworks around campaign reporting and MMM. Derive insights and analytics from reporting to support business decision making.
Partner with marketing, media, finance, and analytics teams to translate business
questions into measurement frameworks and actionable insights.
Bridge insights and recommendations from MMM to campaign analytics: Manage Marketing Tactic measurement framework inclusive of Test & Learns, Pilots, Brand Lift, A/B testing, etc.
Evaluate channel effectiveness across paid, owned, and earned media to support budget allocation and investment optimization.
Conduct scenario planning and forecasting analyses to estimate the impact of different marketing strategies and spending levels.

Ensure data quality and integrity by validating inputs, assumptions, and modeling outputs.
Monitor model performance over time and recommend updates based on changes in market conditions, consumer behavior, or business strategy.
Support test design and measurement strategies

What you bring

Bachelor's degree in Marketing, Economics, Analytics, Statistics, Data Science, or a related field or equivalent work-related experience
5+ years of experience in data analysis and insights with a focus on marketing mix modeling. Demonstrated experience working with data scientists and/or statisticians to drive marketing mix model insights
Previous experience in Excel working with data hierarchies and understanding big data sources to drive insights

Previous experience building executive level and technical PowerPoint presentations that translate data into storytelling and actionable insights
Strong analytical and problem-solving abilities with a solid understanding of statistical modeling techniques and their application in marketing
Excellent verbal and written communication skills with the ability to present complex data findings to non-technical stakeholders in a clear and engaging manner
Meticulous attention to detail with a strong focus on data accuracy and integrity
Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment

Previous experience working with MMM vendors (Analytic Partners, Transunion, etc)

Added bonus if you have

Graduate Degree
Experience in statistical software and programming languages such as Python, R, SQL, SAS, or MATLAB.
Proficient with data visualization tools like Tableau or Looker a plus.
Experience in Automotive industry
Agency experience or media planning

What we'll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:

• A work environment built on teamwork, flexibility and respect
• Professional growth and development programs to help advance your career, as well as tuition reimbursement
• Team Member Vehicle Purchase Discount
• Toyota Team Member Lease Vehicle Program (if applicable)
• Comprehensive health care and wellness plans for your entire family
• Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
• Paid holidays and paid time off
• Referral services related to prenatal services, adoption, childcare, schools and more
• Relocation Assistance (if applicable)

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong.

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

Have a question, need assistance with your application or do you require any special accommodations? Please send an email to .