About the role
Job Purpose “This position is open with Bajaj Finance ltd.” Duties and Responsibilities 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 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