Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform complex data into actionable marketing insights and drive innovative analytics.
- Company: Join Mars, a purpose-driven company with a focus on building a better tomorrow.
- Benefits: Competitive salary, bonus, and best-in-class learning opportunities from day one.
- Why this job: Lead the charge in evolving marketing measurement with cutting-edge technologies.
- Qualifications: Bachelor’s degree in a quantitative field and 5+ years in marketing analytics.
- Other info: Collaborative environment with diverse teams and excellent career growth potential.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
R150372 Manager - Marketing Science & Insights employer: Mars, Incorporated
Contact Detail:
Mars, Incorporated Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land R150372 Manager - Marketing Science & Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the marketing analytics space, especially those at Mars or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past projects, especially those involving complex data analysis or marketing measurement. When you get the chance to chat with hiring managers, let your work speak for itself.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your analytical methods and how they translate into business recommendations. Mock interviews with friends can help you nail down your pitch.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Mars team. Don’t miss out on this opportunity!
We think you need these skills to ace R150372 Manager - Marketing Science & Insights
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for turning complex data into actionable insights shine through. We want to see how your experience aligns with our mission at Mars, so don’t hold back on sharing your passion!
Tailor Your Experience: Make sure to highlight your relevant experience in marketing analytics and data science. We’re looking for specific examples of how you've used your skills to drive growth and innovation, so be clear and concise about your achievements.
Keep It Clear and Compelling: Remember, we love clear communication! Use straightforward language to explain your analytical work and how it translates into business recommendations. This will help us see your ability to communicate complex ideas effectively.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Mars, Incorporated
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest marketing analytics trends and tools, especially those mentioned in the job description like Python and econometrics. Brush up on your ability to discuss how you’ve used data to drive marketing decisions in the past.
✨Prepare for Technical Questions
Expect to be asked about specific methodologies you've used in marketing measurement and analytics. Be ready to explain your approach to complex datasets and how you’ve translated analytics into actionable insights for stakeholders.
✨Showcase Your Communication Skills
Since the role involves presenting findings to senior stakeholders, practice explaining complex concepts in simple terms. Prepare a few examples of how you’ve successfully communicated data-driven insights in previous roles.
✨Demonstrate Collaborative Leadership
Highlight your experience working with cross-functional teams. Be prepared to share examples of how you’ve partnered with marketing, finance, or media teams to embed analytics into decision-making processes.