Data-Driven Product Insights Analyst

As a Product Analyst at Astrotalk, your role will involve turning data into actionable insights to influence key product and business decisions. You will collaborate closely with product managers, engineers, and business stakeholders to analyze metrics, uncover trends, and optimize platform performance. The ideal candidate for this position should be highly proficient in SQL, visualization tools, and have prior experience applying AI-driven analytics, especially within a product-based environment. Key Responsibilities: - Analyze user journeys, funnels, and engagement metrics to identify growth opportunities. - Build and automate dashboards using tools like Tableau, Redash, or similar BI tools. - Conduct supply-demand analysis to ensure efficient user-astrologer matching. - Collaborate with product and engineering teams to define KPIs, conduct A/B tests, and measure feature impact. - Utilize AI and advanced analytics techniques (e.g., predictive modeling, clustering, NLP) to drive business insights. - Ensure data accuracy, develop scalable data pipelines, and maintain analytics documentation. - Present insights and business recommendations to senior stakeholders. Required Skills & Qualifications: - 24 years of experience as a Product / Data Analyst in a tech or product company. - Strong expertise in SQL, capable of writing complex and optimized queries. - Proficiency in data visualization tools like Tableau, Redash, or Power BI. - Experience in leveraging AI or ML tools for analytics or decision support. - Understanding of supply-demand problem-solving, preferably in a two-sided or marketplace environment. - Possess a strong analytical mindset and excellent communication skills. Preferred Qualifications: - Bachelor's degree in Computer Science, IT, or a related field. - Experience with Python/R for data analysis or automation. - Exposure to A/B testing, cohort analysis, and product experimentation. - Previous experience in high-scale consumer tech products such as marketplace, fintech, or e-commerce. As a Product Analyst at Astrotalk, your role will involve turning data into actionable insights to influence key product and business decisions. You will collaborate closely with product managers, engineers, and business stakeholders to analyze metrics, uncover trends, and optimize platform performance. The ideal candidate for this position should be highly proficient in SQL, visualization tools, and have prior experience applying AI-driven analytics, especially within a product-based environment. Key Responsibilities: - Analyze user journeys, funnels, and engagement metrics to identify growth opportunities. - Build and automate dashboards using tools like Tableau, Redash, or similar BI tools. - Conduct supply-demand analysis to ensure efficient user-astrologer matching. - Collaborate with product and engineering teams to define KPIs, conduct A/B tests, and measure feature impact. - Utilize AI and advanced analytics techniques (e.g., predictive modeling, clustering, NLP) to drive business insights. - Ensure data accuracy, develop scalable data pipelines, and maintain analytics documentation. - Present insights and business recommendations to senior stakeholders. Required Skills & Qualifications: - 24 years of experience as a Product / Data Analyst in a tech or product company. - Strong expertise in SQL, capable of writing complex and optimized queries. - Proficiency in data visualization tools like Tableau, Redash, or Power BI. - Experience in leveraging AI or ML tools for analytics or decision support. - Understanding of supply-demand problem-solving, preferably in a two-sided or marketplace environment. - Possess a strong analytical mindset and excellent communication skills. Preferred Qualifications: - Bachelor's degree in Computer Science, IT, or a related field. - Experience with Python/R for data analysis or automation. - Exposure to A/B testing, cohort analysis, and product experimentation. - Previous experience in high-scale consumer tech products such as marketplace, fintech, or e-commerce.