📌 Core Information
🔹 Job Title: Marketing Manager, Marketing Insights
🔹 Company: Amazon
🔹 Location: London, City of, United Kingdom
🔹 Job Type: On-site
🔹 Category: Marketing
🔹 Date Posted: April 16, 2025
🔹 Experience Level: 2-5 years
🔹 Remote Status: On-site
🚀 Job Overview
Key aspects of this role include:
- Driving data-informed recommendations by analyzing trends, campaign performance, and customer behavior patterns
- Taking ownership of weekly intake processes with various stakeholders
- Proactively identifying and acting on potential risks and opportunities through thorough data analysis
- Presenting performance insights and recommended actions to senior stakeholders across the business
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work effectively with various teams and stakeholders.
📋 Key Responsibilities
✅ Drive data-informed recommendations by analyzing trends, campaign performance, and customer behavior patterns
✅ Take ownership of weekly intake processes with various stakeholders
✅ Proactively identify and act on potential risks and opportunities through thorough data analysis
✅ Present performance insights and recommended actions to senior stakeholders across the business
✅ Document marketing actions, building a repository of learnings that influence future strategies
✅ Work with various marketing tools, including Marketing Mix Modelling (MMM) and campaign planning systems to understand campaign performance
✅ Make timely, data-driven decisions even with incomplete information
✅ Thoroughly investigate data anomalies to identify root causes and propose solutions
ASSUMPTION: This role involves a significant amount of data analysis and interpretation, as well as strong communication skills to effectively convey insights to stakeholders.
🎯 Required Qualifications
Education: Bachelor's degree in Marketing, Statistics, Mathematics, or a related field
Experience: 2-5 years of experience in marketing analytics, data analysis, or a related field
Required Skills:
- Proficient in data analysis tools (e.g., Excel, SQL, Python)
- Strong analytical and problem-solving skills
- Excellent communication and presentation skills
- Ability to work effectively with cross-functional teams
- Proven experience in marketing campaign analysis
Preferred Skills:
- Experience with Marketing Mix Modelling (MMM)
- Fluency in additional languages
ASSUMPTION: While a master's degree in a related field may be beneficial, it is not always required for this role. Relevant experience and a strong portfolio of data analysis projects can also be considered.
💰 Compensation & Benefits
Salary Range: £55,000 - £75,000 per annum (based on industry standards for the role, experience level, and location)
Benefits:
- Competitive benefits package, including health, dental, and vision insurance
- Retirement savings plan with company match
- Generous vacation and sick leave policies
- Maternity and paternity leave
- Employee discounts on Amazon products and services
Working Hours: Full-time, typically Monday to Friday, 9:00 AM to 5:30 PM, with flexibility for occasional overtime or weekend work as needed
ASSUMPTION: The salary range provided is an estimate based on industry standards for the role, experience level, and location. Actual compensation may vary based on factors such as the candidate's qualifications, skills, and experience.
📌 Applicant Insights
🔍 Company Context
Industry: E-commerce and Retail
Company Size: 10,001+ employees (Large enterprise)
Founded: 1994 (Over 25 years ago)
Company Description:
- Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence
- Amazon is known for its customer-centric approach, innovative culture, and commitment to operational excellence
- Amazon's global presence and diverse business segments offer numerous opportunities for career growth and development
Company Specialties:
- E-commerce platform and services
- Cloud computing and infrastructure (Amazon Web Services)
- Digital streaming and entertainment (Amazon Prime Video, Amazon Music)
- Artificial intelligence and machine learning (Alexa, Amazon Go, Amazon Robotics)
Company Website: https://www.amazon.com/
ASSUMPTION: Working at Amazon offers a dynamic and fast-paced environment with ample opportunities for professional growth and development. However, the company's large size may also present challenges in terms of communication and decision-making.
📊 Role Analysis
Career Level: Mid-level (2-5 years of experience)
Reporting Structure: This role reports directly to the Marketing Director and works closely with various cross-functional teams, including marketing, sales, and operations
Work Arrangement: On-site, with occasional flexibility for remote work as needed
Growth Opportunities:
- Potential career progression into senior marketing roles or management positions
- Opportunities to work on high-impact projects and initiatives across various business segments
- Access to professional development resources and training programs
ASSUMPTION: This role offers significant opportunities for career growth and development within Amazon's large and diverse organization.
🌍 Location & Work Environment
Office Type: Modern, collaborative office space with state-of-the-art technology and amenities
Office Location(s): London, United Kingdom
Geographic Context:
- London is a major global city with a vibrant cultural scene, diverse communities, and excellent transportation links
- The city offers a wide range of housing options, from urban apartments to suburban family homes
- London has a temperate oceanic climate, with mild winters and warm summers
Work Schedule: Full-time, typically Monday to Friday, with occasional flexibility for weekend work as needed
ASSUMPTION: Working in London offers a dynamic and multicultural environment, with easy access to world-class entertainment, dining, and cultural attractions. However, the cost of living in London is generally higher than in other parts of the UK.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screening with a member of the HR team
- In-depth behavioral and technical interviews with hiring managers and team members
- Final round interview with the Marketing Director or another senior leader
Key Assessment Areas:
- Analytical and problem-solving skills
- Communication and presentation skills
- Cultural fit and alignment with Amazon's leadership principles
- Domain knowledge and marketing expertise
Application Tips:
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Be prepared to discuss your approach to data analysis and problem-solving in the interview
- Research Amazon's marketing strategies and initiatives to demonstrate your understanding of the business
- Prepare questions to ask the interviewer about the team, company culture, or growth opportunities
ATS Keywords: Marketing Insights, Data Analysis, Campaign Performance, Stakeholder Management, Risk Assessment, Data-Driven Decision Making, Marketing Automation, Trend Analysis, Customer Behavior, Performance Monitoring, Problem Solving, Collaboration, Documentation, Marketing Mix Modelling (MMM), Strategic Discussions, Optimization
ASSUMPTION: The application process for this role may take several weeks, depending on the volume of applicants and the hiring team's availability. It is essential to follow up with the HR team if you have not heard back after the expected timeline.
🛠️ Tools & Technologies
- Microsoft Excel
- SQL databases
- Python (Pandas, NumPy, Matplotlib, Seaborn)
- Marketing Mix Modelling (MMM) tools
- Campaign planning and management software
ASSUMPTION: Familiarity with these tools and technologies is essential for success in this role. However, Amazon provides training and resources to help employees develop the skills they need to excel in their positions.
👔 Cultural Fit Considerations
Company Values:
- Customer Obsessed
- Ownership
- Invent and Simplify
- Learn and Be Curious
- Hire and Develop the Best
- Insist on the Highest Standards
- Think Big
- Bias for Action
- Frugality
- Earn Trust
Work Style:
- Fast-paced and dynamic environment
- Collaborative and cross-functional teams
- Data-driven decision-making culture
- Focus on innovation and continuous improvement
Self-Assessment Questions:
- Do you have a strong customer focus and a passion for understanding customer needs and behaviors?
- Are you comfortable working in a fast-paced, dynamic environment and making data-driven decisions under uncertainty?
- Do you thrive in a collaborative, cross-functional team setting and enjoy working with diverse stakeholders?
ASSUMPTION: Amazon's culture is highly competitive, fast-paced, and data-driven. Employees must be comfortable working in a dynamic environment and making decisions with incomplete information. Strong communication and collaboration skills are essential for success in this role.
⚠️ Potential Challenges
- Working in a large, matrixed organization with multiple stakeholders and competing priorities
- Managing data from various sources and ensuring data quality and integrity
- Keeping up with the fast pace of innovation and change within the company and the broader industry
- Balancing the need for thorough analysis with the need for timely decision-making
- Navigating Amazon's large and complex organizational structure
ASSUMPTION: These challenges are inherent in working for a large, dynamic company like Amazon. However, the company's size also presents opportunities for career growth and development.
📈 Similar Roles Comparison
- This role is similar to a Marketing Analyst or Marketing Data Analyst position, but with a greater emphasis on strategic decision-making and stakeholder management
- Compared to other marketing roles, this position requires a stronger analytical skillset and a deeper understanding of data-driven decision-making
- Career progression in this role could lead to senior marketing positions, such as Marketing Director or Vice President of Marketing
ASSUMPTION: This role offers a unique blend of analytical, strategic, and communication skills, making it an attractive opportunity for individuals interested in a career in marketing or data analysis.
📝 Sample Projects
- Conducting a comprehensive analysis of marketing performance data and market trends to inform strategic decision-making
- Developing and implementing a data-driven marketing optimization strategy to improve campaign performance and ROI
- Collaborating with cross-functional teams to identify and address potential risks and opportunities in the marketing funnel
ASSUMPTION: These sample projects illustrate the range of responsibilities and challenges faced by a Marketing Manager, Marketing Insights. Successful candidates will have experience or relevant projects that demonstrate their ability to tackle similar challenges.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics of the Marketing team I would be joining?
- How does this role fit into the broader marketing strategy and organization at Amazon?
- What are the most pressing challenges facing the marketing team currently, and how would this role contribute to addressing them?
- What opportunities are there for professional development and growth within this role and the broader organization?
- How does Amazon support work-life balance for its employees, particularly in this role?
ASSUMPTION: These questions are designed to help applicants better understand the role, team dynamics, and growth opportunities within Amazon. Asking thoughtful questions demonstrates your interest in the position and commitment to success.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through the Amazon Jobs portal
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Prepare for the interview by researching Amazon's marketing strategies and initiatives, and practicing your data analysis and problem-solving skills
- Follow up with the HR team if you have not heard back after the expected timeline
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
