Oversee the design and implementation of A/B tests and experiments to validate product hypotheses.
Develop and maintain dashboards and reporting tools to monitor product KPIs and user behavior.
Analyze customer journeys, funnel metrics, and lifecycle behavior to identify areas for growth and optimization.
Track user acquisitions, visualize user flows, identify friction points and analyze engagement metrics.
Translate complex data into clear, actionable insights for executive and cross-functional stakeholders.
Collaborate closely with Data Engineering and BI teams to ensure data availability, accuracy, and scalability.
Coach and mentor a team of analysts, fostering technical growth and business impact.
Drive a culture of data-driven decision-making across the product organization.
Translate analytical findings into actionable recommendations for senior stakeholders.
Ensure data accuracy and consistency across reporting and analytics tools.
Qualifications:
Educational Background: A degree in Statistics, Mathematics, Computer Science, or a related field. (IIT/NIT preferred).
Industry Experience: 4+ years of proven experience in Product analytics/Decision management preferably within banking, fintech, or financial services.
Technical Skills: Strong proficiency in SAS and SQL. Hands-on experience with Tableau/ PowerBI, Excel and Powerpoint. Experience in analytics tools such as Google Analytics, Adobe Analytics is preferred.
Analytical Skills: Strong analytical and problem-solving skills. Past experience in statistical analysis and knowledge of banking products.
Communication Skills: Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels and types (technical/non-technical).
