1) Data Engineering & ETL Development
- Design, develop, and maintain ETL processes to collect, transform, and integrate data from multiple internal and external sources.
- Build and optimize data pipelines to support product analytics, customer insights, and business reporting.
- Ensure data quality, consistency, and reliability across data platforms.
- Monitor and troubleshoot data workflows to ensure stable operations.
2) Product & Customer Analytics
- Analyze customer behavior, product usage, and portfolio performance to identify trends and business opportunities.
- Support Product teams in evaluating product performance, customer engagement, and conversion metrics.
- Develop analytical models and reports to support product optimization and business growth initiatives.
- Generate actionable insights to improve customer experience and product effectiveness.
3) Reporting & Dashboard Development
- Build and maintain business dashboards and management reports.
- Develop automated reporting solutions to improve operational efficiency.
- Support stakeholders with ad-hoc analysis and data extraction requests.
- Continuously improve reporting frameworks and data visualization standards.
4) Cross-functional Collaboration
- Work closely with Product, Business, Risk, Technology, Data Governance, and Operations teams.
- Translate business requirements into technical data solutions.
- Support data-related initiatives and digital transformation projects.
- Contribute to the development of data-driven decision-making capabilities within the Product function.
5) Data Governance & Continuous Improvement
- Ensure compliance with data governance standards and internal data management policies.
- Participate in data quality improvement initiatives.
- Identify opportunities to automate manual processes and enhance data efficiency.
- Support the implementation of new data technologies and analytics

