Develop, monitor, and refine key metrics that track user acquisition, activation, retention, and churn. Analyze trends and patterns to uncover insights that drive growth strategies and initiatives.
Develop machine learning models to drive personalized user experiences. Utilize predictive analytics to tailor engagement strategies, enhancing satisfaction and retention across diverse user segments.
Work closely with the Marketing, Product, and Engineering teams to design, execute, and analyze A/B tests and other experiments. Use insights from these experiments to for user and small-business engagement strategies, optimizing the funnel from awareness to loyalty.
Collaborate with Data Engineering to improve data collection and analysis methods focused on growth metrics. Ensure the data infrastructure supports scalable action for the growth of the user and small-business g insight.
Advocate for the use of data in all aspects of Growth strategies. Show how data-driven decisions can enhance user acquisition, conversion, and retention, contributing to overall business success.
Identify and leverage data-driven insights to uncover new opportunities for
Grammarly’s growth. Focus on connecting more users and small businessesGrammarly’s value, directly contributing to the product’s user base.
Skills Required
Machine Learning
Python
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