Responsible for all Data Management, Analysis Reporting for Loans Cards.
- Regular data extraction/working on SQL to pull large set of data and share the inputs from the same with key stakeholders for reporting/analysis
- Preparation of Adhoc MIS and reports with utmost care and share same with internal stakeholders
- Define data requirements, run analysis and report/discuss results.
- Identify tools, data sources, develop project parameters and liaison with all concerned stakeholders to obtain data required and enable realistic project planning and execution.
- Responsible for developing data pipeline and data engineering components to support strategic initiatives and ongoing business processes.
- Strong Knowledge of SQL with analytical skills
- Having positive hold with Advanced Excel, Word, and PowerPoint.
- Quantitative analysis within financial sector (retail preferred)
- Strong problem solving, quantitative, analytical and interpersonal abilities
- Data analysis and experiments, A/B testing, anomaly and pattern discovery on large structured and unstructured datasets and Big data
Required Qualifications and Experience
Responsible for all Data Management, Analysis Reporting for Loans Cards.
- Regular data extraction/working on SQL to pull large set of data and share the inputs from the same with key stakeholders for reporting/analysis
- Preparation of Adhoc MIS and reports with utmost care and share same with internal stakeholders
- Define data requirements, run analysis and report/discuss results.
- Identify tools, data sources, develop project parameters and liaison with all concerned stakeholders to obtain data required and enable realistic project planning and execution.
- Responsible for developing data pipeline and data engineering components to support strategic initiatives and ongoing business processes.
- Strong Knowledge of SQL with analytical skills
- Having good hold with Advanced Excel, Word, and PowerPoint.
- Quantitative analysis within financial sector (retail preferred)
- Strong problem solving, quantitative, analytical and interpersonal abilities
- Data analysis and experiments, A/B testing, anomaly and pattern discovery on large structured and unstructured datasets and Big data