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Job description

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

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