About The Role

Join Grover, a market leader in the subscription-based tech industry, as a Senior Product Analyst. In this role, you will be a key strategic partner for Product, Engineering, and Design, focusing on optimizing Acquisition and Retention domains. You will enable data-inspired product decisions, foster an environment where data is effectively leveraged, and drive new high-impact use cases. Enjoy a fully-remote/hybrid work structure, online German language courses, a learning budget, and the opportunity for upward career growth.

Act as a key strategic partner for Product, Engineering, and Design, focusing on optimizing Acquisition and Retention domains.
Own the end-to-end A/B testing lifecycle using the experimentation platform, ensuring statistical reliability and continuous improvement.
Drive new high-impact use cases by collaborating with Data Platform, Engineering, and Product teams to align technical solutions with business objectives.
Technical Stack: High proficiency in SQL and experience with data visualization tools like Tableau, Looker, or Power BI. Familiarity with Segment is a plus
Domain Versatility: Ability and excitement to work across different domains; prior experience supporting Acquisition and Retention is considered a strong plus
Analytic Power: A strong background in Product Analytics, ideally in fast-paced scale-up eCommerce and/or digital subscription environments, with a proven track record of delivering impactful insights
AI Adaptability: An "AI-first" mindset with an openness to using tools like Claude to fast-track reporting, enhance documentation, and optimize analytical processes
Project Management: Strong project management skills - you can take a complex question from a vague idea to a structured, delivered insight
Experimentation Rigor: Proven experience designing and running A/B tests (experience with Eppo is a significant advantage) and measuring the impact of new features
Communication: Excellent verbal and written communication skills in English, with the ability to translate complex data into actionable recommendations for both technical and commercial stakeholders

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