- Data Analysis & Insight Generation : Conduct in-depth analysis of digital product data (e.g., user behavior, product performance, sales trends, engagement metrics) to identify key insights, trends, and opportunities for improvement.

- Performance Monitoring : Develop and maintain dashboards, reports, and analytical models to monitor the performance of digital products and features, providing clear visibility to stakeholders.

- Product Optimization : Work closely with product managers, UX/UI designers, and engineering teams to translate data insights into actionable recommendations for product optimization and new feature development.

- A/B Testing & Experimentation : Support the design, execution, and analysis of A/B tests and other experiments to validate hypotheses and measure the impact of product changes.

- Data Quality & Governance : Collaborate with data engineering teams to ensure data accuracy, consistency, and availability for analysis. Contribute to data governance best practices.

- Requirements Gathering : Assist in defining data requirements for new product features and ensure proper tracking and instrumentation are in place.

- Stakeholder Communication : Present complex analytical findings and recommendations clearly and concisely to non-technical stakeholders, influencing product strategy and business decisions.

Required Skills & Qualifications :

- 5-8 years of experience in a data analyst, product analyst, or similar analytical role, with a focus on digital products or e-commerce.

- Strong proficiency in SQL for data extraction, manipulation, and analysis.

- Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Google Data Studio) for creating compelling dashboards and reports.

- Familiarity with web analytics platforms (e.g., Google Analytics, Adobe Analytics) and their application in product analysis.

- Proven experience in user behavior analysis and understanding key digital product metrics (e.g., conversion rates, retention, engagement, LTV).

- Ability to translate complex data into actionable business insights and recommendations.

- Excellent communication, presentation, and interpersonal skills.

- Strong problem-solving and critical thinking abilities.

- Bachelor's degree in Business Analytics, Computer Science, Statistics, Economics, or a related quantitative field