- Analyze large and complex datasets to identify trends, business insights, anomalies, and opportunities for process improvement within payment and financial systems.
- Write, optimize, and maintain complex SQL queries for data extraction, validation, reporting, and performance tuning across relational databases.
- Design and develop scalable data pipelines and ETL processes to support business intelligence and analytics requirements.
- Perform root cause analysis on transactional, operational, and payment-related data issues to improve business efficiency and decision-making.
- Collaborate closely with product, engineering, finance, operations, and business stakeholders to translate business requirements into analytical solutions.
- Create dashboards, reports, and data visualizations to present actionable insights to both technical and non-technical stakeholders.
- Independently interact with clients and business teams to understand analytical requirements, provide recommendations, and drive data-driven decisions.
- Monitor data quality, consistency, and integrity across multiple data sources and reporting systems.
- Support payment analytics use cases including transaction monitoring, reconciliation analysis, customer behavior analysis, fraud trends, and financial reporting.
- Work with cross-functional teams to improve reporting automation, operational efficiency, and business KPIs.
- Develop reusable SQL scripts, analytical models, and reporting frameworks to streamline recurring analysis tasks.
- Communicate analytical findings effectively through presentations, documentation, and stakeholder discussions.
- Ensure timely delivery of analytical solutions while managing multiple priorities in a fast-paced environment.
- Stay updated with industry trends, payment domain practices, and emerging analytics technologies to enhance business outcomes.
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