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Manager - Marketing Science & Insights
USA-Tennessee-Franklin; USA-Illinois-Chicago
·
On-site
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Full-time
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4d ago
Job Description:
Manager – Marketing Science & Insights
Are you passionate about turning complex data into clear, actionable marketing intelligence? Join Mars as a Manager in Marketing Science & Insights, where you’ll serve as a key member of the Analytics & Insights for Mars Marketing (AIM) team—the Center of Excellence (COE) for Market Insights. In this pivotal role, you’ll drive the evolution of how we measure and understand the impact of marketing investments, supporting our Media Lab with advanced data science. You will have the chance to interact with agentic AI, digital twin technologies, and the use of synthetic respondents to unlock new insights.
As Mars transitions from a focus on paid media to a holistic PESO (Paid, Earned, Shared, Owned) media marketing model, you’ll help lead the charge in supporting data science and engineering efforts that measure the full spectrum of today’s marketing landscape—including the social and viral aspects that are harder to quantify. You’ll collaborate with diverse, cross-functional teams to translate sophisticated analytics into strategic business recommendations that drive growth and innovation. If you thrive in a dynamic environment where innovation meets rigor, and you enjoy communicating complex analytics in a compelling way to senior stakeholders, this role is for you.
What are we looking for?
- Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Data Science, or related discipline; advanced degree (Master’s or PhD) is a plus.
- Minimum of 5 years of relevant experience in marketing analytics, data science, or related roles, preferably within consumer brands or enterprise environments.
- Strong analytical and modeling expertise, including marketing measurement, experimentation, econometrics, or advanced statistical analysis.
- Proficiency in Python for analyzing complex datasets.
- Ability to translate complex analytics into clear business recommendations that influence marketing investment and strategy.
- Experience working with large, multi-source datasets, including consumer, media, and commercial performance data.
- Collaborative leadership skills with demonstrated ability to partner across marketing, insights, media, and finance teams.
- Excellent communication skills, including the ability to create coherent PowerPoint presentations quickly for senior stakeholders.
- Bonus: Experience with causal inference frameworks; exposure to machine learning or advanced predictive modeling techniques; experience working with enterprise analytics environments or large consumer brands.
What will be your key responsibilities?
- Advance Marketing Measurement and Analytics Develop and apply robust marketing measurement frameworks to evaluate marketing effectiveness across channels, improving methodologies to ensure credible and actionable outputs.
- Generate Strategic Insights to Inform Business Decisions Analyze complex consumer, media, and commercial data to identify growth opportunities, performance drivers, and risks, translating findings into clear insights for marketing planning.
- Support the Development of Integrated Intelligence Integrate insights from analytics, research, and market intelligence to build a comprehensive understanding of consumer behavior and market dynamics.
- Drive Analytical Rigor and Best Practices Apply strong analytical discipline in statistical methods, experimentation design, and modeling to maintain high standards of rigor and transparency.
- Partner with Cross-Functional Stakeholders Collaborate with marketing, insights, media, and finance teams to embed analytics into decision-making processes and communicate findings effectively.
- Support Data Science and Engineering for PESO Marketing Contribute to data science efforts supporting paid, earned, shared, and owned media (PESO), including working with agentic AI and digital twins to measure social media impact.
- Translate Technical Analytics for Business Stakeholders Simplify complex mathematical and computational algorithms into business-friendly language and presentations.
- Data Extraction and Reporting Perform data pulls and create compelling PowerPoint decks; experience with PowerBI or Tableau is a plus.
What can you expect from Mars?
- Work with diverse and talented Associates, all guided by the Five Principles.
- Join a purpose-driven company, striving to build the world we want tomorrow, today.
- Best-in-class learning and development support from day one, including access to our in-house Mars University.
- An industry-competitive salary and benefits package, including company bonus.
#TBdigital
The base pay range for this position at commencement of employment is between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to job-related knowledge, skills, and experience. The total compensation package for this position will include variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits. Details of participation in these benefit plans will be provided if an applicant receives an offer of employment.
The pay range shown is applicable to all US locations listed within the job posting:USD 86,720.00 - USD 119,240.00
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About Mars

Mars
BootstrappedMars is a global manufacturer of confectionery, pet food, and other food products, known for brands like M&M's, Snickers, and Pedigree.
10,001+
Employees
McLean
Headquarters
Reviews
3.3
25 reviews
Work Life Balance
2.2
Compensation
3.1
Culture
2.8
Career
3.4
Management
2.1
35%
Recommend to a Friend
Pros
Great benefits and job security
Team-based working environment
Career advancement opportunities
Cons
Poor leadership and management
Long 12-hour shifts with overtime requirements
Lack of work-life balance consideration
Salary Ranges
542 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Associate Brand Manager
32 reports
$123,886
total / year
Base
$112,030
Stock
-
Bonus
$11,856
$88,456
$175,543
Interview Experience
2 interviews
Difficulty
3.5
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview
6
Offer
Common Questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
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