We are looking for a Leading Data Analyst with significant experience in analyzing complex data, building dashboards, and leading end-to-end analytical projects. In this role, you will drive business process improvements through data-driven insights, develop advanced SQL queries, and build organizational analytical solutions that support strategic decision-making. You will work with multiple stakeholders, manage data collection and cleansing, and play a key role in the bank's data strategy.
We are looking for a candidate with sharp analytical thinking, excellent technical skills, and proven project management abilities to lead cross-organizational processes.
📊 Key Responsibilities
- Analyze large datasets to derive deep business insights.
- Write complex and efficient SQL queries for BI, controls, and analytical investigations.
- Build and maintain reports and dashboards in Power BI or Tableau, including KPI tracking and process monitoring.
- Lead end-to-end analytical projects – from requirements gathering and characterization to development, testing, and implementation.
- Develop automations to replace manual processes, improving response times, data quality, and accessibility.
- Perform ongoing data quality checks, detect anomalies, and enhance data reliability.
- Translate business needs into measurable analytical models and solutions.
- Collaborate with local and global teams, working across different time zones.
- Support AI and Data Readiness projects as needed.
- Conduct system testing and UAT, including planning and running test scenarios.
✅ Requirements
- 3-5 years of experience in Data Analysis, including complex querying and understanding of various databases (Tabular) – Must.
- Proven experience in managing complex analytical projects – Must.
- Minimum 3 years of experience writing complex SQL for large databases (e.g., Teradata, SSMS, Cloud platforms) – Must.
- Minimum 3 years of experience working with BI systems – Must (Power BI ,Tableau – Advantage).
- Experience in Credit Risk / Banking domains – Must.
- Experience working in a large organization with a systemic view – Must.
- High proficiency in Excel and MS Office (Min. 3 years) – Must.
- Academic degree in Mathematics, Statistics, Computer Science, Data Science, or Engineering – Advantage.
🌟 Advantages
- Experience in Financial organizations or Data Consulting.
- Knowledge of Python and automation tools.
- Experience with Tableau (at least 1 year in the last position).
- Strong background in Dashboard development (Min. 3 years).
- Familiarity with SaaS environments and Hadoop.
- Experience in system testing, controls, and process implementation.