Global Marketing Data Lead
Mars
Full-time
On-site
Newark, New Jersey, United States
📌 Core Information
- Job Title: Global Marketing Data Lead
- Company: Mars
- Location: Newark, New Jersey, United States
- Job Type: Full-Time, Hybrid
- Category: Marketing
- Date Posted: June 3, 2025
- Experience Level: 5-10 years
- Remote Status: On-site/Hybrid
🚀 Job Overview
Key aspects of this role include:
- Developing and implementing marketing mix modelling capabilities globally.
- Analyzing and validating new marketing analytics tools to drive strategic decisions.
- Collaborating with stakeholders to foster a data-driven mindset and promote data-driven insights.
- Managing detailed data analysis and presenting complex data in an understandable format to non-technical stakeholders.
ASSUMPTION: This role requires a strong blend of analytical, strategic, and communication skills, with a focus on driving data-driven decision-making across global marketing teams.
📋 Key Responsibilities
- Marketing Mix Modelling: Develop and maintain marketing mix modelling capabilities to optimize campaign effectiveness and efficiency.
- Collaborate with cross-functional teams to deliver a true one-demand analytics capability.
- Employ data visualization and reporting techniques to effectively communicate measurement results.
- Utilize historical data to create benchmarks for future campaign comparisons.
- New Media & Marketing Analytics Tools Validation: Work closely with the Global Head of Media Analytics transformation to validate and implement new analytical capabilities.
- Present technical results to non-technical stakeholders in an understandable format.
- Work on innovative, fast-paced projects to drive marketing effectiveness.
- Promoting a Data-Driven Mindset: Foster an analytics and data-driven mindset across business teams by collaborating closely with stakeholders to achieve business results through advanced analytics and data outputs from tools.
- Cross-Functional Collaboration: Work closely with technical expertise in data science, data engineering, and DevOps to ensure any new tools and capabilities work within the Mars Wrigley ecosystem.
- Align with agency partners and key stakeholders on KPIs and success metrics.
ASSUMPTION: This role involves a high degree of collaboration and stakeholder management, requiring strong communication and project management skills.
🎯 Required Qualifications
- Education: Bachelor's degree in Marketing, Statistics, Mathematics, Economics, or a related field. Master's degree preferred.
- Experience: 5-10 years of experience in media analytics, data science, or strategy roles, with a focus on marketing analytics and data-driven decision-making.
- Required Skills:
- Strong analytical skills and the ability to interpret data.
- Proficiency in data analytics software: SQL, Python, or R.
- Knowledge of statistical analysis and modelling techniques.
- Excellent communication and data presentation skills.
- Global, regional, and local stakeholder management.
- Communicating technical details to non-technical stakeholders.
- Detail-oriented with a high level of accuracy.
Preferred Skills:
- Media and marketing analytics background in the FMCG industry.
- Familiarity with consumer data platforms (CDPs), marketing automation tools (CRM), DMPs, and DSPs.
- Effective communication abilities, presenting data-driven insights that are understandable across teams, including non-technical audiences.
- Skilled in crafting and presenting data visualizations that depict information efficiently and drive strategic decisions and marketing effectiveness.
- Foundational knowledge in statistical analytics and data science, with the ability to conduct advanced analyses such as regression analysis, NLP/text analysis, correlation studies, heatmaps, and scatter plots to deepen insights into campaign effectiveness.
ASSUMPTION: While a background in the FMCG industry is preferred, candidates with relevant experience in other industries may also be considered.
💰 Compensation & Benefits
- Salary Range: USD 117,804 - USD 161,985 per year (based on experience and market location)
- Benefits:
- Medical and dental benefits
- Participation in 401k plan
- Paid time off benefits
- Company bonus
- Working Hours: Full-time, with a hybrid work arrangement (2-3 days on-site per week)
ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles and experience levels. The total compensation package may also include other elements, depending on the position offered and the employee's work schedule.
📌 Applicant Insights
🔍 Company Context
- Industry: Food and Beverage Manufacturing
- Company Size: 10,001+ employees
- Founded: 1911 (as Mars, Incorporated)
- Company Description: Mars is a global manufacturer of confectionery, pet food, and other food products, with iconic brands such as M&M's, Snickers, and Pedigree. The company is guided by its Five Principles: Quality, Responsibility, Mutuality, Efficiency, and Freedom.
- Company Specialties: Mars Petcare, Mars Food, Mars Edge, and Mars Wrigley
📊 Role Analysis
- Career Level: Mid-level to senior-level marketing role with a focus on data analysis and strategy.
- Reporting Structure: This role reports directly to the Global Head of Media Analytics transformation and collaborates with various cross-functional teams, including marketing, data science, and DevOps.
- Work Arrangement: Hybrid, with 2-3 days on-site per week at the Newark, New Jersey office.
Growth Opportunities:
- Opportunities to work on innovative, fast-paced projects and drive strategic decisions across global marketing teams.
- Potential to grow into a leadership role within the marketing analytics function or expand into other areas of the business.
ASSUMPTION: This role offers significant opportunities for professional growth and development within a large, global organization.
🌍 Location & Work Environment
- Office Type: Hybrid, with a focus on in-person collaboration and teamwork.
- Office Location(s): 6885 Elm St, McLean, Virginia (headquarters); 680 From Road, Newark, New Jersey (primary office for this role)
- Geographic Context: Newark, New Jersey, is a major urban area with a diverse population and a thriving business environment. It is located approximately 15 miles west of New York City, offering easy access to cultural, entertainment, and recreational opportunities.
- Work Schedule: Full-time, with a hybrid work arrangement (2-3 days on-site per week) and flexible hours to accommodate different work styles and needs.
ASSUMPTION: The hybrid work arrangement offers a balance between in-person collaboration and remote work, providing flexibility and work-life balance.
💼 Interview & Application Insights
- Typical Process: 1. Online application submission; 2. Phone or video screen; 3. In-person or virtual interview with hiring manager and/or team members; 4. Final interview with senior leadership; 5. Offer extended.
- Key Assessment Areas: Technical skills (data analysis, statistical modelling, data visualization), communication skills (written and verbal), problem-solving abilities, and cultural fit.
- Application Tips:
- Tailor your resume and cover letter to highlight relevant experience and skills for this role.
- Prepare examples of data-driven insights and strategic decisions you've made in previous roles.
- Research Mars' Five Principles and be prepared to discuss how you embody them in your work.
ATS Keywords: Marketing mix modelling, media analytics, data science, strategy, stakeholder management, data visualization, campaign effectiveness, global marketing, hybrid work arrangement.
ASSUMPTION: Applicants should focus on demonstrating their technical skills and ability to drive data-driven decision-making in a global marketing context.
🛠️ Tools & Technologies
- Data analytics software: SQL, Python, R
- Data visualization tools: Tableau, Power BI, Lookr, Datorama, plotly, ggplot, seaborn
- Marketing automation tools: CRM, CDPs, DMPs, DSPs
- Web analytics tools: Google Analytics, Google Tag Manager
ASSUMPTION: Familiarity with these tools is preferred, but not required, as the role involves working with cross-functional teams to implement and optimize new tools and capabilities.
👔 Cultural Fit Considerations
- Company Values: Mars' Five Principles guide the company's culture and decision-making processes. Applicants should be prepared to discuss how they embody these principles in their work.
- Work Style: Mars values a collaborative, data-driven, and innovative work environment. Applicants should be comfortable working in a matrix organization and driving strategic decisions through data-driven insights.
Self-Assessment Questions:
- How do you embody Mars' Five Principles in your work, and how have they guided your decision-making in previous roles?
- How do you balance the need for data-driven insights with the need for quick, strategic decision-making in a global marketing context?
- How do you communicate complex data and technical details to non-technical stakeholders, ensuring that your insights drive action and results?
ASSUMPTION: Applicants should be prepared to discuss their alignment with Mars' cultural values and work style, as well as their ability to thrive in a global, matrix organization.
⚠️ Potential Challenges
- Role-Specific Challenges: Managing complex data sets and ensuring data accuracy and integrity in a global marketing context.
- Company-Specific Challenges: Navigating a large, matrix organization with a complex reporting structure and multiple stakeholders.
- Industry-Specific Challenges: Keeping up with rapidly evolving marketing technologies and trends, as well as the need to balance data-driven insights with quick, strategic decision-making.
- Location-Specific Challenges: Commute times and traffic congestion in the Newark, New Jersey area.
ASSUMPTION: Applicants should be prepared to discuss how they have overcome similar challenges in previous roles and how they would approach these challenges in this role.
📈 Similar Roles Comparison
- Role Differentiators: This role focuses on global marketing data analysis and strategy, with a specific focus on marketing mix modelling and new media analytics tools validation. Similar roles may focus on other aspects of marketing analytics, such as customer analytics, web analytics, or social media analytics.
- Industry Context: Mars is a global manufacturer of confectionery, pet food, and other food products, with a strong focus on data-driven decision-making and innovation. Applicants should be prepared to discuss how their experience and skills align with Mars' industry and business goals.
- Career Path Comparison: This role offers opportunities for professional growth and development within a large, global organization. Similar roles may offer comparable growth opportunities, depending on the size and structure of the organization.
ASSUMPTION: Applicants should research Mars' industry and business goals, as well as comparable roles and organizations, to demonstrate their understanding of the role and its context.
📝 Sample Projects
- Developing and implementing a global marketing mix modelling framework to optimize campaign effectiveness and efficiency.
- Validating and implementing a new marketing analytics tool to drive strategic decisions and improve campaign performance.
- Collaborating with cross-functional teams to create data-driven insights and recommendations for marketing strategy and tactics.
ASSUMPTION: Applicants should be prepared to discuss their experience with similar projects and how they have driven data-driven decision-making and results in previous roles.
❓ Key Questions to Ask During Interview
- How does this role fit into Mars' overall marketing strategy and goals?
- What are the key priorities for this role in the first 30-60-90 days?
- How does Mars support the professional growth and development of its marketing analytics team members?
- How does Mars foster a data-driven mindset and culture across its global marketing teams?
- What are the key challenges facing Mars' marketing analytics function, and how can this role help address them?
ASSUMPTION: Applicants should prepare thoughtful, insightful questions that demonstrate their understanding of the role and their eagerness to contribute to Mars' marketing analytics function.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through [this link](https://careers.mars.com/global/en/job/R128488/Global-Marketing-Data-Lead).
- Tailor your resume and cover letter to highlight relevant experience and skills for this role.
- Prepare examples of data-driven insights and strategic decisions you've made in previous roles.
- Research Mars' Five Principles and be prepared to discuss how you embody them in your work.
- Prepare thoughtful, insightful questions to ask during the interview process.
⚠️ Disclaimer: This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
- Job Title: Global Marketing Data Lead
- Company: Mars
- Location: Newark, New Jersey, United States
- Job Type: Full-Time, Hybrid
- Category: Marketing
- Date Posted: June 3, 2025
- Experience Level: 5-10 years
- Remote Status: On-site/Hybrid
🚀 Job Overview
Key aspects of this role include:
- Developing and implementing marketing mix modelling capabilities globally.
- Analyzing and validating new marketing analytics tools to drive strategic decisions.
- Collaborating with stakeholders to foster a data-driven mindset and promote data-driven insights.
- Managing detailed data analysis and presenting complex data in an understandable format to non-technical stakeholders.
ASSUMPTION: This role requires a strong blend of analytical, strategic, and communication skills, with a focus on driving data-driven decision-making across global marketing teams.
📋 Key Responsibilities
- Marketing Mix Modelling: Develop and maintain marketing mix modelling capabilities to optimize campaign effectiveness and efficiency.
- Collaborate with cross-functional teams to deliver a true one-demand analytics capability.
- Employ data visualization and reporting techniques to effectively communicate measurement results.
- Utilize historical data to create benchmarks for future campaign comparisons.
- New Media & Marketing Analytics Tools Validation: Work closely with the Global Head of Media Analytics transformation to validate and implement new analytical capabilities.
- Present technical results to non-technical stakeholders in an understandable format.
- Work on innovative, fast-paced projects to drive marketing effectiveness.
- Promoting a Data-Driven Mindset: Foster an analytics and data-driven mindset across business teams by collaborating closely with stakeholders to achieve business results through advanced analytics and data outputs from tools.
- Cross-Functional Collaboration: Work closely with technical expertise in data science, data engineering, and DevOps to ensure any new tools and capabilities work within the Mars Wrigley ecosystem.
- Align with agency partners and key stakeholders on KPIs and success metrics.
ASSUMPTION: This role involves a high degree of collaboration and stakeholder management, requiring strong communication and project management skills.
🎯 Required Qualifications
- Education: Bachelor's degree in Marketing, Statistics, Mathematics, Economics, or a related field. Master's degree preferred.
- Experience: 5-10 years of experience in media analytics, data science, or strategy roles, with a focus on marketing analytics and data-driven decision-making.
- Required Skills:
- Strong analytical skills and the ability to interpret data.
- Proficiency in data analytics software: SQL, Python, or R.
- Knowledge of statistical analysis and modelling techniques.
- Excellent communication and data presentation skills.
- Global, regional, and local stakeholder management.
- Communicating technical details to non-technical stakeholders.
- Detail-oriented with a high level of accuracy.
Preferred Skills:
- Media and marketing analytics background in the FMCG industry.
- Familiarity with consumer data platforms (CDPs), marketing automation tools (CRM), DMPs, and DSPs.
- Effective communication abilities, presenting data-driven insights that are understandable across teams, including non-technical audiences.
- Skilled in crafting and presenting data visualizations that depict information efficiently and drive strategic decisions and marketing effectiveness.
- Foundational knowledge in statistical analytics and data science, with the ability to conduct advanced analyses such as regression analysis, NLP/text analysis, correlation studies, heatmaps, and scatter plots to deepen insights into campaign effectiveness.
ASSUMPTION: While a background in the FMCG industry is preferred, candidates with relevant experience in other industries may also be considered.
💰 Compensation & Benefits
- Salary Range: USD 117,804 - USD 161,985 per year (based on experience and market location)
- Benefits:
- Medical and dental benefits
- Participation in 401k plan
- Paid time off benefits
- Company bonus
- Working Hours: Full-time, with a hybrid work arrangement (2-3 days on-site per week)
ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles and experience levels. The total compensation package may also include other elements, depending on the position offered and the employee's work schedule.
📌 Applicant Insights
🔍 Company Context
- Industry: Food and Beverage Manufacturing
- Company Size: 10,001+ employees
- Founded: 1911 (as Mars, Incorporated)
- Company Description: Mars is a global manufacturer of confectionery, pet food, and other food products, with iconic brands such as M&M's, Snickers, and Pedigree. The company is guided by its Five Principles: Quality, Responsibility, Mutuality, Efficiency, and Freedom.
- Company Specialties: Mars Petcare, Mars Food, Mars Edge, and Mars Wrigley
📊 Role Analysis
- Career Level: Mid-level to senior-level marketing role with a focus on data analysis and strategy.
- Reporting Structure: This role reports directly to the Global Head of Media Analytics transformation and collaborates with various cross-functional teams, including marketing, data science, and DevOps.
- Work Arrangement: Hybrid, with 2-3 days on-site per week at the Newark, New Jersey office.
Growth Opportunities:
- Opportunities to work on innovative, fast-paced projects and drive strategic decisions across global marketing teams.
- Potential to grow into a leadership role within the marketing analytics function or expand into other areas of the business.
ASSUMPTION: This role offers significant opportunities for professional growth and development within a large, global organization.
🌍 Location & Work Environment
- Office Type: Hybrid, with a focus on in-person collaboration and teamwork.
- Office Location(s): 6885 Elm St, McLean, Virginia (headquarters); 680 From Road, Newark, New Jersey (primary office for this role)
- Geographic Context: Newark, New Jersey, is a major urban area with a diverse population and a thriving business environment. It is located approximately 15 miles west of New York City, offering easy access to cultural, entertainment, and recreational opportunities.
- Work Schedule: Full-time, with a hybrid work arrangement (2-3 days on-site per week) and flexible hours to accommodate different work styles and needs.
ASSUMPTION: The hybrid work arrangement offers a balance between in-person collaboration and remote work, providing flexibility and work-life balance.
💼 Interview & Application Insights
- Typical Process: 1. Online application submission; 2. Phone or video screen; 3. In-person or virtual interview with hiring manager and/or team members; 4. Final interview with senior leadership; 5. Offer extended.
- Key Assessment Areas: Technical skills (data analysis, statistical modelling, data visualization), communication skills (written and verbal), problem-solving abilities, and cultural fit.
- Application Tips:
- Tailor your resume and cover letter to highlight relevant experience and skills for this role.
- Prepare examples of data-driven insights and strategic decisions you've made in previous roles.
- Research Mars' Five Principles and be prepared to discuss how you embody them in your work.
ATS Keywords: Marketing mix modelling, media analytics, data science, strategy, stakeholder management, data visualization, campaign effectiveness, global marketing, hybrid work arrangement.
ASSUMPTION: Applicants should focus on demonstrating their technical skills and ability to drive data-driven decision-making in a global marketing context.
🛠️ Tools & Technologies
- Data analytics software: SQL, Python, R
- Data visualization tools: Tableau, Power BI, Lookr, Datorama, plotly, ggplot, seaborn
- Marketing automation tools: CRM, CDPs, DMPs, DSPs
- Web analytics tools: Google Analytics, Google Tag Manager
ASSUMPTION: Familiarity with these tools is preferred, but not required, as the role involves working with cross-functional teams to implement and optimize new tools and capabilities.
👔 Cultural Fit Considerations
- Company Values: Mars' Five Principles guide the company's culture and decision-making processes. Applicants should be prepared to discuss how they embody these principles in their work.
- Work Style: Mars values a collaborative, data-driven, and innovative work environment. Applicants should be comfortable working in a matrix organization and driving strategic decisions through data-driven insights.
Self-Assessment Questions:
- How do you embody Mars' Five Principles in your work, and how have they guided your decision-making in previous roles?
- How do you balance the need for data-driven insights with the need for quick, strategic decision-making in a global marketing context?
- How do you communicate complex data and technical details to non-technical stakeholders, ensuring that your insights drive action and results?
ASSUMPTION: Applicants should be prepared to discuss their alignment with Mars' cultural values and work style, as well as their ability to thrive in a global, matrix organization.
⚠️ Potential Challenges
- Role-Specific Challenges: Managing complex data sets and ensuring data accuracy and integrity in a global marketing context.
- Company-Specific Challenges: Navigating a large, matrix organization with a complex reporting structure and multiple stakeholders.
- Industry-Specific Challenges: Keeping up with rapidly evolving marketing technologies and trends, as well as the need to balance data-driven insights with quick, strategic decision-making.
- Location-Specific Challenges: Commute times and traffic congestion in the Newark, New Jersey area.
ASSUMPTION: Applicants should be prepared to discuss how they have overcome similar challenges in previous roles and how they would approach these challenges in this role.
📈 Similar Roles Comparison
- Role Differentiators: This role focuses on global marketing data analysis and strategy, with a specific focus on marketing mix modelling and new media analytics tools validation. Similar roles may focus on other aspects of marketing analytics, such as customer analytics, web analytics, or social media analytics.
- Industry Context: Mars is a global manufacturer of confectionery, pet food, and other food products, with a strong focus on data-driven decision-making and innovation. Applicants should be prepared to discuss how their experience and skills align with Mars' industry and business goals.
- Career Path Comparison: This role offers opportunities for professional growth and development within a large, global organization. Similar roles may offer comparable growth opportunities, depending on the size and structure of the organization.
ASSUMPTION: Applicants should research Mars' industry and business goals, as well as comparable roles and organizations, to demonstrate their understanding of the role and its context.
📝 Sample Projects
- Developing and implementing a global marketing mix modelling framework to optimize campaign effectiveness and efficiency.
- Validating and implementing a new marketing analytics tool to drive strategic decisions and improve campaign performance.
- Collaborating with cross-functional teams to create data-driven insights and recommendations for marketing strategy and tactics.
ASSUMPTION: Applicants should be prepared to discuss their experience with similar projects and how they have driven data-driven decision-making and results in previous roles.
❓ Key Questions to Ask During Interview
- How does this role fit into Mars' overall marketing strategy and goals?
- What are the key priorities for this role in the first 30-60-90 days?
- How does Mars support the professional growth and development of its marketing analytics team members?
- How does Mars foster a data-driven mindset and culture across its global marketing teams?
- What are the key challenges facing Mars' marketing analytics function, and how can this role help address them?
ASSUMPTION: Applicants should prepare thoughtful, insightful questions that demonstrate their understanding of the role and their eagerness to contribute to Mars' marketing analytics function.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through [this link](https://careers.mars.com/global/en/job/R128488/Global-Marketing-Data-Lead).
- Tailor your resume and cover letter to highlight relevant experience and skills for this role.
- Prepare examples of data-driven insights and strategic decisions you've made in previous roles.
- Research Mars' Five Principles and be prepared to discuss how you embody them in your work.
- Prepare thoughtful, insightful questions to ask during the interview process.
⚠️ Disclaimer: This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.