📌 Core Information
🔹 Job Title: Marketing Mix Modeling Specialist, Large Customer Sales
🔹 Company: Google
🔹 Location: Singapore
🔹 Job Type: On-site
🔹 Category: Marketing
🔹 Date Posted: May 7, 2025
🔹 Experience Level: 10+ years
🔹 Remote Status: On-site
🚀 Job Overview
Key aspects of this role include:
- Driving marketing investment optimization through advanced statistical modeling and data-driven insights
- Serving as a trusted advisor to clients, guiding them through complex MMM analyses and translating technical findings into business strategies
- Collaborating with cross-functional teams to develop and implement new measurement methodologies and tools
- Identifying opportunities to improve Google's MMM capabilities and drive innovation in the field
ASSUMPTION: This role requires a strong background in statistical modeling, data analysis, and client management, with a focus on driving data-driven decision-making in marketing.
📋 Key Responsibilities
✅ Lead Marketing Mix Modeling (MMM) and analysis by consulting on MMM models using statistical tools, conducting analysis of marketing data to identify key drivers of performance, and providing recommendations
✅ Serve as a consultant to clients, advising on measurement strategies and best practices, building and maintaining relationships with key stakeholders, including marketing executives and agency partners
✅ Collaborate with sales, product, and customers teams to drive momentum on MMM conversations and unblock where needed, partnering with cross-functional teams to develop and implement new measurement methodologies and tools
✅ Identify opportunities to improve Google's MMM capabilities and drive innovation in the field, advocating for the adoption of advanced measurement techniques within the industry
ASSUMPTION: This role requires strong analytical, communication, and stakeholder management skills, with the ability to translate complex statistical concepts into actionable business insights.
🎯 Required Qualifications
Education: Bachelor's degree or equivalent practical experience
Experience: 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis
Required Skills:
- Experience with programming languages such as Python or R for data analysis and modeling
Preferred Skills:
- Master's degree in Statistics, Econometrics, Data Science, Mathematics, or a related quantitative field
- Experience with various MMM techniques (e.g. Bayesian MMM, time series regression, Machine learning)
- Experience in developing and implementing MMMs in a business environment, with understanding of statistical modeling techniques, including regression analysis, time series analysis, and causal inference
- Understanding of the digital advertising and measurement ecosystem (e.g. attribution, experiments, data clean rooms, server-side API)
- Excellent communication skills, with the ability to present complex information to senior and C-level stakeholders
ASSUMPTION: While a Master's degree is preferred, a Bachelor's degree with relevant experience may be sufficient for this role. Strong analytical and communication skills are essential for success in this position.
💰 Compensation & Benefits
Salary Range: Based on industry standards for a Marketing Mix Modeling Specialist role in Singapore with 10+ years of experience, the estimated salary range is SGD 150,000 - SGD 200,000 per annum. This estimate takes into account the high level of responsibility, the required skills, and the competitive nature of the tech industry in Singapore.
Benefits:
- Competitive health, dental, and vision insurance
- Retirement savings plan with company match
- Generous time-off policies, including vacation, sick leave, and holidays
- On-site cafeterias and fitness centers
- Tuition reimbursement and professional development opportunities
Working Hours: Full-time position with standard office hours (Monday - Friday, 9:00 AM - 6:00 PM), with flexibility for occasional remote work or adjusted hours as needed
ASSUMPTION: While Google is known for its comprehensive benefits package, the specific benefits for this role may vary and should be confirmed with the employer.
📌 Applicant Insights
🔍 Company Context
Industry: Google is a multinational technology company that specializes in Internet-related services and products, including online advertising technologies, search engine, cloud computing, software, and hardware. The company operates in a highly competitive and dynamic industry, with a strong focus on innovation and data-driven decision-making.
Company Size: Google is a large organization with over 10,000 employees in Singapore alone, providing ample opportunities for career growth and development. As a large company, Google offers a structured and well-established work environment, with clear career paths and extensive resources for employee development.
Founded: Google was founded in 1998 by Larry Page and Sergey Brin, and has since grown to become one of the world's most valuable companies. The company has a rich history of innovation and has played a significant role in shaping the digital landscape as we know it today.
Company Description:
- Google is committed to organizing the world's information and making it universally accessible and useful
- The company values innovation, collaboration, and a user-centered approach to product development
- Google fosters a culture of continuous learning and encourages employees to take ownership of their professional development
Company Specialties:
- Search engine technology
- Online advertising platforms
- Cloud computing services
- Hardware and software products
Company Website: https://www.google.com/
ASSUMPTION: Google's large size and extensive resources provide numerous opportunities for career growth and development, but may also present challenges in terms of bureaucracy and slower decision-making processes.
📊 Role Analysis
Career Level: This role is at the senior specialist level, requiring a high degree of expertise in marketing mix modeling and data analysis. The role is well-suited for experienced professionals looking to apply their skills in a dynamic and challenging environment.
Reporting Structure: The Marketing Mix Modeling Specialist will report directly to the Large Customer Sales team and will collaborate closely with various internal stakeholders, including sales, product, and customer teams.
Work Arrangement: This role is on-site, with the expectation that the successful candidate will work from Google's Singapore office. However, there may be opportunities for occasional remote work or adjusted hours as needed.
Growth Opportunities:
- Advancement to a senior or management role within the Large Customer Sales team or another division of Google
- Expansion of responsibilities to include mentoring and training of junior team members
- Opportunities to work on high-impact projects and initiatives that drive innovation and growth within the company
ASSUMPTION: Given the senior nature of this role and the high level of responsibility involved, there are significant opportunities for career growth and development within Google.
🌍 Location & Work Environment
Office Type: Google's Singapore office is a modern and collaborative work environment, designed to foster innovation and creativity. The office features open-plan workspaces, meeting rooms, and communal areas for employees to relax and connect.
Office Location(s): Google's Singapore office is located in the heart of the city, providing easy access to public transportation, shopping, and dining options.
Geographic Context:
- Singapore is a global hub for technology, finance, and business, with a thriving startup ecosystem and a strong focus on innovation and entrepreneurship
- The city-state is known for its multiculturalism, diverse cuisine, and high quality of life
- Singapore's strategic location in Southeast Asia makes it an ideal base for working with regional clients and partners
Work Schedule: The standard work schedule for this role is Monday - Friday, 9:00 AM - 6:00 PM, with flexibility for occasional remote work or adjusted hours as needed.
ASSUMPTION: While Google's Singapore office provides a modern and collaborative work environment, the successful candidate should be comfortable working in a fast-paced and dynamic setting, with the ability to manage multiple priorities and deadlines.
💼 Interview & Application Insights
Typical Process:
- Online application and resume screening
- Phone or video screen with a recruiter or hiring manager
- Technical interview with a member of the Large Customer Sales team
- On-site interview with multiple stakeholders, including team members, managers, and potential clients
- Final decision and offer
Key Assessment Areas:
- Technical expertise in marketing mix modeling and data analysis
- Communication and presentation skills
- Client management and stakeholder engagement
- Problem-solving and critical thinking
Application Tips:
- Tailor your resume and cover letter to highlight your relevant experience and skills in marketing mix modeling and data analysis
- Prepare for the technical interview by brushing up on your statistical modeling and data analysis skills, and be ready to discuss your approach to marketing mix modeling and data-driven decision-making
- Demonstrate your ability to communicate complex information to non-technical stakeholders and present your findings in a clear and concise manner
- Showcase your client management and stakeholder engagement skills by providing examples of successful collaborations and partnerships
ATS Keywords: Marketing Mix Modeling, MMM, Data Analysis, Statistical Modeling, Client Management, Stakeholder Engagement, Google, Large Customer Sales, Singapore
ASSUMPTION: Given the competitive nature of the tech industry in Singapore, it is essential to tailor your application materials to highlight your relevant experience and skills, and to demonstrate your ability to thrive in a fast-paced and dynamic work environment.
🛠️ Tools & Technologies
- Python
- R
- Google's internal tools and platforms
- Microsoft Office Suite
- Data visualization tools (e.g., Tableau, Power BI)
ASSUMPTION: While the specific tools and technologies used in this role may vary, a strong foundation in programming languages such as Python or R is essential for success in this position.
👔 Cultural Fit Considerations
Company Values:
- Focus on the user
- Innovation
- Inclusion
- Collaboration
- Integrity
Work Style:
- Data-driven decision-making
- Collaborative and cross-functional teamwork
- Continuous learning and growth
- Adaptability and resilience in the face of change
Self-Assessment Questions:
- How do you approach marketing mix modeling and data-driven decision-making in a way that prioritizes the user?
- Can you provide an example of a time when you successfully collaborated with a cross-functional team to drive innovation and growth?
- How do you stay curious and continue to learn and grow in a rapidly evolving field like marketing mix modeling?
ASSUMPTION: Google values employees who are passionate about their work, committed to continuous learning and growth, and able to thrive in a collaborative and dynamic work environment.
⚠️ Potential Challenges
- Managing multiple priorities and deadlines in a fast-paced and dynamic work environment
- Communicating complex information to non-technical stakeholders and presenting findings in a clear and concise manner
- Building and maintaining relationships with key stakeholders, including marketing executives and agency partners
- Keeping up with the latest trends and developments in marketing mix modeling and data analysis
ASSUMPTION: While these challenges may present obstacles, they also provide opportunities for growth and development in this role.
📈 Similar Roles Comparison
- Unlike other marketing roles at Google, this position focuses specifically on marketing mix modeling and data analysis, requiring a high degree of technical expertise in these areas
- As a senior specialist role, this position offers significant opportunities for career growth and development within Google
- Compared to similar roles at other companies, this position offers the opportunity to work with a wide range of clients and partners, and to drive innovation and growth in a dynamic and competitive industry
ASSUMPTION: This role is well-suited for experienced professionals looking to apply their skills in a dynamic and challenging environment, with the opportunity to drive innovation and growth in a competitive industry.
📝 Sample Projects
- Developing and implementing a marketing mix modeling framework for a major retail client, resulting in a 20% increase in sales
- Conducting a comprehensive analysis of a client's marketing data to identify key drivers of performance and optimize their marketing spend
- Collaborating with a cross-functional team to develop and launch a new measurement methodology, leading to a 15% increase in marketing effectiveness
ASSUMPTION: These sample projects demonstrate the types of initiatives and challenges the successful candidate may face in this role, and provide insight into the high-impact nature of the work.
❓ Key Questions to Ask During Interview
- How does this role fit into the broader strategy of the Large Customer Sales team and Google's marketing efforts?
- What are the most pressing challenges facing the team and how can this role help address them?
- How does Google support the professional development and growth of its employees in this role?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does Google measure the success of this role and how can I contribute to achieving these goals?
ASSUMPTION: These questions demonstrate a proactive and engaged approach to the interview process, and provide insight into the candidate's ability to thrive in this role.
📌 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 in marketing mix modeling and data analysis
- Prepare for the technical interview by brushing up on your statistical modeling and data analysis skills, and be ready to discuss your approach to marketing mix modeling and data-driven decision-making
- Demonstrate your ability to communicate complex information to non-technical stakeholders and present your findings in a clear and concise manner
- Showcase your client management and stakeholder engagement skills by providing examples of successful collaborations and partnerships
- Follow up with the recruiter or hiring manager within one week of submitting your application to confirm receipt and express your interest in the role
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
