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Product Analyst

Remote

4000 - 5000$

Why Join Us?

— Proven Success: Work under investors who have spearheaded successful exits, including the sale of Looksery and AI Factory to Snap for $150M and $166M, respectively.

— Rapid Growth: Be part of a thriving company generating $3M ARR and serving 150,000 satisfied customers across the US and Europe.

— Innovative Projects: Contribute to cutting-edge AI-driven initiatives in a dynamic and fast-paced startup environment.

— Top Talent: Collaborate with experts from leading companies like Lensa, Picsart, Viber, AIRI, and Yandex.

About the Role

As a Product Analyst at Glam, you will play a pivotal role in driving data-informed decisions to optimize our AI-powered platform. By leveraging your expertise in data analysis, A/B testing, and performance tracking, you will identify growth opportunities, shape product strategies, and ensure seamless user experiences. If you’re passionate about turning data into actionable insights and thrive in a startup environment, we’d love to hear from you.

Key Responsibilities

Analyze user behavior and product performance to identify trends and actionable insights.
Develop and maintain dashboards to track key metrics, providing clear visibility into the product's health.
Design and execute A/B tests to evaluate the effectiveness of new features and initiatives.
Collaborate with Product, Engineering, and Marketing teams to guide product development with data-driven recommendations.
Drive user segmentation analysis to improve targeting, retention, and user satisfaction.
Communicate findings and recommendations clearly to stakeholders, both technical and non-technical.

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Qualifications

Experience:
- Proven track record of using data to influence product decisions and outcomes.
- Hands-on experience with A/B testing frameworks and tools.
Technical Skills:
- Expertise in product analytics tools such as Amplitude, Adapty, and Firebase for tracking and insights.
- Advanced analytical and statistical skills
- In-depth understanding of key app performance metrics like DAU, MAU, LTV, CAC, and churn
Additional Skills (Preferred):
- Hands-on experience in Python or R for data analysis and modeling.
- Experience with AI-driven platforms or consumer apps.
- Familiarity with user funnel analysis and retention modeling.
- Understanding of marketing analytics and campaign performance tracking.