📌 Core Information
🔹 Job Title: Marketing Revenue Analytics Lead
🔹 Company: A.P. Moller - Maersk
🔹 Location: Copenhagen, Hovedstaden, Denmark
🔹 Job Type: Full-Time, Hybrid
🔹 Category: Marketing
🔹 Date Posted: July 3, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: On-site (Hybrid)
🚀 Job Overview
Key aspects of this role include:
- Transforming marketing's impact on business performance through data-driven insights
- Collaborating cross-functionally to optimize revenue outcomes and enhance pipeline visibility
- Driving data-informed decision-making and strategy across marketing
- Leading target-setting processes and delivering accurate forecasts
ASSUMPTION: This role requires a strong analytical mindset and a solid understanding of both marketing and financial domains to succeed.
📋 Key Responsibilities
✅ Deliver insights to improve marketing pipeline health and revenue optimization across lead acquisition, nurturing, qualification, and conversion
✅ Analyze customer behavior drivers and translate them into actionable business decisions
✅ Develop and drive adoption of the Marketing Scorecard
✅ Set, monitor, and adjust marketing targets in alignment with business goals
✅ Forecast revenue and detect early drops using predictive analytics
✅ Build scenario plans to evaluate the impact of marketing strategies
✅ Collaborate with commercial and finance teams to ensure alignment on revenue foresight
✅ Conduct market analysis to understand external revenue influences
✅ Support annual marketing budget and operating plan development
ASSUMPTION: Success in this role requires a balance of analytical skills, business acumen, and strong communication to effectively work with various teams and stakeholders.
🎯 Required Qualifications
Education: Bachelor's degree in Business, Economics, Marketing, or a related field (Master's degree preferred)
Experience: 5+ years of experience in consulting or analytics within commercial and financial domains
Required Skills:
- Strong financial acumen and general marketing knowledge
- Proven analytical mindset with a passion for data storytelling
- Excellent collaboration and communication skills across cross-functional teams
- Proficient in tools such as Power BI, Google Data Studio, Datorama, and Excel
Preferred Skills:
- Experience in the logistics or transportation industry
- Fluency in additional languages
ASSUMPTION: While a background in marketing is beneficial, a strong analytical mindset and financial acumen are more critical for success in this role.
💰 Compensation & Benefits
Salary Range: €70,000 - €90,000 per year (Based on industry standards for similar roles in Denmark)
Benefits:
- Competitive pension plan
- Health and wellness programs
- Flexible work arrangements
- Global career opportunities
Working Hours: Full-time, typically 40 hours per week, with flexible hours and remote work options available
ASSUMPTION: Salary range is estimated based on industry standards for similar roles in Denmark, considering the required experience level and the company's size.
📌 Applicant Insights
🔍 Company Context
Industry: Transportation, Logistics, Supply Chain, and Storage
Company Size: 10,001+ employees (Enterprise-level)
Founded: 1904 (Over 110 years ago)
Company Description:
- Maersk is an integrated transport and logistics company, connecting and simplifying its customers' supply chains
- Operates in more than 130 countries and employs over 100,000 people worldwide
- Committed to enabling global trade, driving sustainable growth, and delivering innovative solutions
Company Specialties:
- Container Shipping
- Container Terminals
- Retail
- Manufacturing
- Offshore
- Logistics and Warehousing
- Distribution and Supply Chain
- Integrated Logistics (4PL)
- Cold Chain Solutions
Company Website: www.maersk.com
ASSUMPTION: Maersk's extensive global presence and diverse business segments offer numerous growth opportunities for employees.
📊 Role Analysis
Career Level: Mid-level to senior, with potential for growth into management or specialized roles
Reporting Structure: Reports directly to the Head of Marketing or a similar senior leader
Work Arrangement: Hybrid (2-3 days on-site, with flexible remote work options)
Growth Opportunities:
- Progression into senior roles within marketing or related functions
- Expansion into global markets or new business areas
- Development of specialized skills in data analysis, marketing strategy, or other relevant domains
ASSUMPTION: Success in this role can lead to various career growth opportunities within Maersk's extensive global organization.
🌍 Location & Work Environment
Office Type: Modern, collaborative office space with on-site amenities
Office Location(s): Esplanaden 50, Copenhagen, 1098, DK
Geographic Context:
- Copenhagen is the capital and most populous city of Denmark
- Known for its high quality of life, work-life balance, and vibrant cultural scene
- Offers easy access to nature, with beaches and parks nearby
Work Schedule: Standard business hours, with flexibility for remote work and adjusted hours as needed
ASSUMPTION: Maersk's Copenhagen office provides a dynamic and international work environment, with easy access to various amenities and cultural attractions.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video call with the hiring manager
- On-site or virtual interview with the team
- Final interview with senior leadership
Key Assessment Areas:
- Analytical and problem-solving skills
- Communication and collaboration abilities
- Understanding of marketing and financial concepts
- Cultural fit and alignment with Maersk's values
Application Tips:
- Highlight relevant experience and achievements in data analysis and marketing
- Tailor your resume and cover letter to emphasize skills and experiences mentioned in the job description
- Prepare for behavioral and situational interview questions focused on data-driven decision-making and cross-functional collaboration
ATS Keywords: Marketing, Revenue, Analytics, Data-Driven, Optimization, Pipeline, Forecasting, Collaboration, Cross-Functional, Target-Setting, Financial Acumen, Power BI, Google Data Studio, Datorama, Excel
ASSUMPTION: Maersk's application process is designed to assess candidates' technical skills, cultural fit, and ability to thrive in a dynamic, global organization.
🛠️ Tools & Technologies
- Power BI
- Google Data Studio
- Datorama
- Excel
- Additional tools may include SQL, Python, or other data analysis software, depending on the role's specific requirements
ASSUMPTION: Proficiency in data visualization tools is essential for success in this role, while familiarity with programming languages or other data analysis software can be beneficial.
👔 Cultural Fit Considerations
Company Values:
- Safety
- Integrity
- Uprightness
- Responsibility
- Humility
- Collaboration
- Lifelong learning
Work Style:
- Data-driven and analytical
- Collaborative and cross-functional
- Focused on continuous improvement and innovation
Self-Assessment Questions:
- Do you thrive in a data-driven environment and enjoy translating complex data into actionable insights?
- Are you comfortable working collaboratively with diverse teams and stakeholders?
- Do you embrace a culture of continuous learning and improvement?
ASSUMPTION: Maersk's company culture values integrity, collaboration, and a strong work ethic, with a focus on data-driven decision-making and continuous improvement.
⚠️ Potential Challenges
- Working with large, complex datasets and ensuring data accuracy and consistency
- Balancing the need for detailed analysis with the requirement to deliver insights quickly
- Managing stakeholder expectations and ensuring alignment across multiple teams and functions
- Adapting to a dynamic and evolving business environment
ASSUMPTION: Success in this role requires strong analytical skills, effective communication, and the ability to navigate a complex, global organization.
📈 Similar Roles Comparison
- Compared to similar roles in other industries, this position offers a unique opportunity to work in a global, integrated logistics company
- Maersk's extensive global presence provides exposure to diverse markets and business segments
- Career progression may involve moving into management, specialized roles, or expanding into global markets
ASSUMPTION: This role offers a unique blend of analytical, business, and marketing responsibilities, with the potential for diverse career growth opportunities within Maersk's global organization.
📝 Sample Projects
- Developing and implementing a marketing scorecard to track key performance indicators and drive data-informed decision-making
- Conducting a market analysis to identify external revenue influences and inform strategic planning
- Building predictive models to forecast revenue and detect early drops in marketing performance
ASSUMPTION: These sample projects illustrate the range of responsibilities and the data-driven approach required for success in this role.
❓ Key Questions to Ask During Interview
- How does this role contribute to Maersk's overall business strategy and growth objectives?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does Maersk support the professional development and growth of its employees?
- What are the most significant challenges facing the marketing team currently, and how can this role help address them?
- How does Maersk foster a culture of collaboration and cross-functional teamwork?
ASSUMPTION: Asking thoughtful, insightful questions demonstrates your interest in the role and Maersk's success.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills, emphasizing data analysis, marketing, and financial acumen
- Prepare for interviews by researching Maersk's business, industry trends, and the specific challenges facing the marketing team
- Follow up with the hiring manager one week after applying to express your continued interest in the role
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
