Product Analyst

About the Role:

We are seeking a data-savvy Product Analyst to uncover insights from user behavior and product metrics. Strong SQL skills and experience in A/B testing are key. The role involves close collaboration across teams to drive data-backed decisions.

Key Responsibilities:

• Work closely with Product Managers and cross-functional teams (Marketing, Tech, Design, User Research, Sales, Strategy, and Business) to identify data-driven opportunities and solve key business challenges.
• Set up and maintain automated dashboards and tracking sheets to monitor critical KPIs.
• Conduct in-depth analyses of KPI trends, identify anomalies, and perform root cause analyses (RCA) to provide actionable insights.
• Design, analyze, and interpret A/B tests to evaluate experiment impact on product performance and user behavior.
• Conduct cohort analysis and retention studies to improve user engagement and long-term retention strategies.
• Develop monthly and quarterly KPI projections to assist in strategic planning.
• Write and test event analytics for frontend clickstream data, ensuring accuracy in staging and production environments.
• Set up feature-specific tracking for new releases to measure adoption and guide product improvements.
• Optimize key product funnels (e.g., onboarding, payment) by identifying bottlenecks and proposing data-backed solutions.
• Handle ad-hoc data requests from various teams and provide timely, structured insights.
• Explore advanced analytics opportunities to enhance user experience and drive revenue growth.

Requirements:

1. SQL Expertise Strong ability to write complex queries using CTEs, Window Functions, Subqueries,cand Advanced Joins.
2. Clickstream Data Analysis Experience in analyzing user behavior and interactions.
3. Problem-Solving Mindset Ability to approach challenges with structured, data-driven solutions.
4. Product Analytics Knowledge Understanding of product metrics, user funnels, A/B testing methodologies, and behavioral analysis.
5. Collaboration & Communication Ability to translate data insights into actionable recommendations for all the stakeholders.
6. Ownership & Initiative Ability to take end-to-end ownership of data exploration, insights generation, and implementation of solutions.
7. Adaptability & Continuous Learning Quick to learn new tools, methods, and adjust to fast paced environments.