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**Job Overview**:
**Key Responsibilities**:
- **Analytics and Insights**: Perform deep analysis of user and app data to derive actionable insights that support strategic decisions and product enhancements.
- **Metrics Development**:Identify key performance indicators for the product; develop and maintain scalable metrics to monitor and report on these indicators.
- **Dashboard Development**: Design and build comprehensive dashboards that provide real-time insights into product performance, user engagement, and other critical metrics.
- **AB Testing**:Plan, execute, and interpret AB tests to refine product features based on statistical analysis and user feedback.
- **Collaborative Product Development**:Work closely with product managers, engineers, and other stakeholders to integrate analytics and insights into product development cycles.
**Qualification & Skills**:
- Bachelor’s degree or higher in Computer Science, Data Science, Statistics, or a related field.
- 3+ years of experience in data analysis / scientist role, ideally with a focus on user behaviour and product analytics in a tech or financial services environment.
- Strong knowledge of Python for data analysis and model development. Experience with NLP/LLM tools and frameworks is highly desirable.
- Proficient in SQL and experience with various database systems, including knowledge graphs, for data querying and management.
- Strong understanding of statistical analysis methods and experience in designing, executing, and interpreting AB tests.
- Experience in creating dynamic dashboards using platforms like Tableau, Power BI, Grafana, or similar tools to visualize and report data insights.