Product Analyst
от 4 000 до 5 000$
Удалённо

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.
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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.
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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
1 Experience:
◦ Proven track record of using data to influence product decisions and outcomes.
◦ Hands-on experience with A/B testing frameworks and tools.
2 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
3 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.


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