Quantitative Marketing Analyst, Subscriptions Marketing

1 Day ago • 3 Years + • Data Analyst

Job Summary

Job Description

As a Quantitative Marketing Analyst, you'll play a pivotal role in understanding and optimizing usage and the subscription lifecycle for high-growth potential Google products. You will conduct in-depth analysis of user and subscriber behavior, identify trends, and uncover insights to drive product improvements and marketing strategies. This involves creating reports and dashboards, collaborating on A/B tests, building predictive models (churn prediction), and working closely with product, marketing, and engineering teams to translate data insights into actionable recommendations. You'll go beyond traditional marketing analytics, focusing on experimentation and refining strategies to optimize the entire user journey. Fluent English and Spanish are required for client relationship management in Mexico.
Must have:
  • Bachelor's degree in quantitative field
  • 3+ years analytical experience
  • SQL, Python/R skills
  • Cross-functional collaboration
  • A/B testing experience
  • Data analysis and visualization
  • Fluent English and Spanish
Good to have:
  • Master's degree
  • Experience building data pipelines
  • Experience with multivariate experiments
  • Excellent communication skills

Job Details


Minimum qualifications:

  • Bachelor's degree in a research or quantitative field (e.g., Social Sciences, Statistics, Mathematics, Economics, etc.) or equivalent practical 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).
  • Experience working cross-functionally with various stakeholders and teams.
  • Ability to communicate in English and Spanish fluently to support local client relationship management.

Preferred qualifications:

  • Master’s degree in a research or quantitative discipline.
  • Experience with R or Python for statistical analysis and data visualization.
  • Experience with designing and analyzing A/B tests, multivariate experiments, or other controlled studies.
  • Experience with growth experimentation.
  • Excellent SQL skills, ability to write complex queries, extract data from various sources, and perform in-depth analysis. Experience building data pipelines using different types of user data, including survey and open-text responses, product logs, etc.
  • Excellent communication skills. Ability to convince business stakeholders and communicate complex analysis insights to non-technical audiences.

About the job

The Subscriptions and Customer Growth Marketing organization drives consumer apps and subscription growth. We partner with product engineering and insights to understand the user and bring helpful products to market while deepening the consumer relationship. We’re passionate about showing consumers how to get more out of their favorite Google subscriptions and consumer apps.

As a Marketing Analyst, you will play a pivotal role in understanding and optimizing the usage and subscription lifecycle for high growth potential products. In this role, you'll go beyond traditional marketing analytics. You'll be at the forefront of experimentation, constantly testing and refining strategies to optimize the entire user journey. By collaborating closely with marketing, product, and engineering teams, you'll help define key metrics, design experiments, and translate data into actionable recommendations that directly impact product development and marketing campaigns.

Responsibilities

  • Conduct in-depth analysis of user and subscriber behavior, identify trends, and uncover insights that 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.

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