Quantitative Marketing Analyst, Subscriptions Marketing

📌 Core Information

🔹 Job Title: Quantitative Marketing Analyst, Subscriptions Marketing

🔹 Company: Google

🔹 Location: Mexico City, Ciudad de México, Mexico

🔹 Job Type: On-site

🔹 Category: Marketing

🔹 Date Posted: May 1, 2025

🔹 Experience Level: Mid-level (2-5 years)

🔹 Remote Status: On-site

🚀 Job Overview

Key aspects of this role include:

• Analyzing user and subscriber behavior to drive product improvements and marketing strategies
• Collaborating with cross-functional teams to design and implement A/B tests
• Translating data insights into actionable recommendations
• Working with various stakeholders and teams to support local client relationship management

ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work effectively with diverse teams.

📋 Key Responsibilities

✅ Conduct in-depth analysis of user and subscriber behavior, identify trends, and uncover insights to drive product improvements and marketing strategies

✅ Create clear and informative reports and dashboards to track key usage metrics and communicate findings to stakeholders

✅ Collaborate with cross-functional teams to design and implement A/B tests to evaluate the impact of product changes on business outcomes

✅ Build models to predict user churn, identify at-risk subscribers, and forecast future user trends

✅ Work closely with product managers, marketers, and engineers to translate data insights into actionable recommendations

ASSUMPTION: This role requires a proactive approach to data analysis and a strong ability to communicate complex findings to non-technical stakeholders.

🎯 Required Qualifications

Education: Bachelor's degree in a research or quantitative field (e.g., Social Sciences, Statistics, Mathematics, Economics, etc.) or equivalent practical experience.

Experience: 3 years of work experience as an analyst or in an analytical role (e.g., statistical analysis, querying databases, coding in SQL, Python, R).

Required Skills:

• Fluency in English and Spanish
• Ability to work cross-functionally with various stakeholders and teams
• Strong analytical skills and experience with statistical analysis
• Proficient in SQL, Python, and R

Preferred Skills:

• Master’s degree in a research or quantitative discipline
• Experience with A/B testing, multivariate experiments, or other controlled studies
• Experience with growth experimentation
• Excellent communication skills, ability to convince business stakeholders, and communicate complex analysis insights to non-technical audiences

ASSUMPTION: While a Master’s degree is preferred, a relevant Bachelor’s degree and equivalent practical experience may also be considered.

💰 Compensation & Benefits

Salary Range: The salary range for this role is estimated to be MXN 120,000 - 180,000 per year, based on industry standards for mid-level marketing analysts in Mexico City. This range is inclusive of base salary and any related bonuses or incentives.

Benefits:

• Comprehensive health, dental, and vision insurance
• Retirement savings plan with company match
• Generous time off and parental leave policies
• On-site meals, snacks, and beverages
• Employee discounts on Google products and services

Working Hours: Full-time position with standard working hours Monday through Friday, 9:00 AM to 6:00 PM. However, Google is known for its flexible work arrangements, and specific hours may be discussed during the interview process.

ASSUMPTION: The provided salary range is an estimate and may vary based on individual qualifications, skills, and experience. Benefits are subject to change and may vary by location.

📌 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's mission is to "organize the world's information and make it universally accessible and useful."

Company Size: Google is an enterprise-level company with over 10,000 employees worldwide. This size offers applicants opportunities to work on large-scale projects and collaborate with diverse teams.

Founded: Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company went public in 2004 and has since grown to become one of the world's most valuable companies.

Company Description:

• Google is known for its innovative culture, which encourages employees to take risks and think creatively
• The company values collaboration, transparency, and data-driven decision making
• Google offers competitive compensation and benefits packages to attract and retain top talent

Company Specialties:

• Search engine technology
• Online advertising
• Cloud computing
• Software development
• Hardware engineering

Company Website: https://www.google.com/

ASSUMPTION: Google's large size and global presence offer applicants opportunities to work on diverse projects and advance their careers within the company.

📊 Role Analysis

Career Level: This role is a mid-level position within the marketing organization. It offers opportunities for growth and advancement within the company.

Reporting Structure: The Quantitative Marketing Analyst reports directly to the Subscriptions and Customer Growth Marketing organization, working closely with product, marketing, and engineering teams.

Work Arrangement: This role is on-site, with the primary work location in Mexico City. However, Google offers flexible work arrangements, and remote work may be considered for the right candidate.

Growth Opportunities:

• Advancement within the marketing organization or other departments within Google
• Cross-functional collaboration and exposure to various aspects of the business
• Professional development and training opportunities

ASSUMPTION: This role offers strong growth potential for candidates looking to advance their careers within the marketing field or explore other areas of the business.

🌍 Location & Work Environment

Office Type: Google's offices are known for their innovative and collaborative workspaces, designed to foster creativity and productivity.

Office Location(s): Mexico City, Ciudad de México, Mexico

Geographic Context:

• Mexico City is the capital and most populous city of Mexico, with a vibrant culture and diverse population
• The city offers a mix of urban and natural environments, with numerous parks, museums, and historical sites
• Mexico City has a subtropical highland climate, with mild winters and warm summers

Work Schedule: Full-time position with standard working hours Monday through Friday, 9:00 AM to 6:00 PM. However, Google is known for its flexible work arrangements, and specific hours may be discussed during the interview process.

ASSUMPTION: Mexico City offers a dynamic and multicultural work environment, with numerous opportunities for personal and professional growth.

💼 Interview & Application Insights

Typical Process:

• Online application and resume screening
• Phone or video screen with a recruiter or hiring manager
• Technical interview with a team member from the marketing analytics team
• On-site interview with multiple team members, including product managers, marketing managers, and other analysts
• Final interview with the hiring manager

Key Assessment Areas:

• Analytical skills and problem-solving abilities
• Communication skills, both written and verbal
• Cultural fit and alignment with Google's values
• Technical proficiency in SQL, Python, and R

Application Tips:

• Tailor your resume to highlight relevant skills and experiences for this role
• Prepare for behavioral and situational interview questions that focus on your analytical skills and problem-solving abilities
• Be ready to discuss your experience with A/B testing, growth experimentation, and data visualization
• Research Google's mission, values, and culture to demonstrate your fit with the company

ATS Keywords: Quantitative Marketing Analyst, Subscriptions Marketing, Marketing Analytics, A/B Testing, Growth Experimentation, SQL, Python, R, User Behavior Analysis, Churn Prediction, Cross-Functional Collaboration, Reporting, Dashboard Creation, Product Improvement

ASSUMPTION: The application process for this role may take several weeks, depending on the volume of applicants and the hiring team's availability.

🛠️ Tools & Technologies

• SQL
• Python
• R
• Google Analytics
• Google BigQuery
• Google Data Studio
• Excel

ASSUMPTION: Familiarity with Google's suite of tools and platforms is beneficial but not always required for this role.

👔 Cultural Fit Considerations

Company Values:

• Focus on the user and all else will follow
• It's best to do one thing really, really well
• Fast is better than slow
• More is different
• You don't need to be at your desk to need an answer

Work Style:

• Data-driven decision making
• Collaborative and cross-functional teamwork
• Innovation and continuous learning
• Transparency and open communication
• Results-oriented and focused on impact

Self-Assessment Questions:

• Do you thrive in a fast-paced, dynamic work environment?
• Are you comfortable working with diverse teams and stakeholders?
• Do you have a strong analytical mindset and a passion for data-driven decision making?
• Are you able to communicate complex findings to non-technical audiences?

ASSUMPTION: Google values candidates who are passionate about their work, innovative, and committed to the company's mission and values.

⚠️ Potential Challenges

• Working with large and complex datasets may present technical challenges
• Collaborating with cross-functional teams may require strong communication and project management skills
• Keeping up with the fast-paced and ever-changing nature of the tech industry may be challenging
• Balancing the demands of multiple stakeholders and projects may require strong time management and prioritization skills

ASSUMPTION: These challenges can be overcome with strong problem-solving skills, effective communication, and a proactive approach to managing priorities.

📈 Similar Roles Comparison

• This role is similar to other marketing analyst positions but focuses specifically on subscriptions marketing and user behavior analysis
• Compared to other marketing roles, this position requires a strong analytical skillset and a focus on data-driven decision making
• Career paths for this role may include advancement within the marketing organization or exploration of other departments within Google

ASSUMPTION: This role offers unique opportunities for growth and development within the marketing field and the broader tech industry.

📝 Sample Projects

• Analyzing user behavior data to identify trends and optimize the user journey
• Designing and implementing A/B tests to evaluate the impact of product changes on business outcomes
• Building predictive models to identify at-risk subscribers and forecast future user trends

ASSUMPTION: These projects are designed to showcase the candidate's analytical skills, problem-solving abilities, and ability to communicate complex findings to non-technical stakeholders.

❓ Key Questions to Ask During Interview

• Can you describe a typical day or week in this role?
• How does this role collaborate with other teams within the marketing organization and the broader company?
• What are the most important priorities for this role in the first 30, 60, and 90 days?
• How does Google support the professional development and growth of its employees?
• What is the team's approach to work-life balance, and how does Google support this?

ASSUMPTION: Asking thoughtful questions during the interview process demonstrates your interest in the role and commitment to understanding the company's culture and values.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through the Google Careers portal
• Tailor your resume to highlight your relevant skills and experiences for this role
• Prepare a cover letter that explains your interest in the position and how your background and skills make you a strong fit
• If applicable, prepare examples of your work or projects that demonstrate your analytical skills and problem-solving abilities
• Follow up with the hiring team one week after submitting your application 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.