Job Description
Data Analysis Using SAS, SQL, and Python:
• Conduct in-depth analysis of large SME data to identify patterns and trends in customer behavior.
• Utilize SAS, SQL, and Python for comprehensive data analysis.
Process Improvement and Automation:
• Design and automate process improvement tasks, enhancing efficiency and accuracy.
• Source data from Database Server into analytical DataMart using SAS, SQL, and Python.
Statistical and Machine Learning Models:
• Apply statistical and machine learning models to address complex business problems.
• Drive innovation and process optimization through advanced analytics.
Data Cleaning and Pre-processing:
• Perform meticulous data cleaning and pre-processing using SAS and SQL.
• Ensure data accuracy and integrity.
Risk Management and Commercial Opportunities:
• Utilize statistical and machine learning models to identify new commercial possibilities.
• Mitigate risks and contribute to business expansion.
Exploratory Data Analysis (EDA):
• Conduct exploratory data analysis using Python and SQL.
• Provide valuable information for business strategy development.
Database Management:
• Design and manage large databases using SQL, Azure Data Studio, and Databricks.
• Ensure seamless data storage and retrieval.
Dashboards and Visualizations:
• Create interactive dashboards and visualizations using Tableau/Power BI.
• Present findings and insights to stakeholders for effective communication.
Portfolio Monitoring and Reporting:
• Prepare portfolio monitoring reports based on credit performance.
• Segment customers based on risk association and track their performance.
Collaboration and Insights:
• Collaborate with business units to understand analytical needs.
• Develop ad-hoc reporting and analysis, providing valuable insights.
Performance Evaluation:
• Monitor and evaluate the performance of the credit card portfolio.
• Make necessary adjustments to improve performance and mitigate risks.
Collection Strategies:
• Develop strategies for delinquent customers.
• Analyze historical data to determine the effectiveness of previous collection efforts.
Advanced Analytics Techniques:
• Utilize advanced data analytics techniques and business intelligence tools.
• Drive business performance, achieve targets, and inform decision-making processes.
Process Improvement and Automation (Continued):
• Develop and automate process improvement tasks, leading to enhanced operational performance.
• Reduce manual intervention in analytical processes.
Key Requirements
Skills : Data Analysis, Advanced Excel, Data Reporting, Python
Data Analytic, Reporting
• Conduct in-depth analysis of large SME data to identify patterns and trends in customer behavior.
• Utilize SAS, SQL, and Python for comprehensive data analysis.
Process Improvement and Automation:
• Design and automate process improvement tasks, enhancing efficiency and accuracy.
• Source data from Database Server into analytical DataMart using SAS, SQL, and Python.
Statistical and Machine Learning Models:
• Apply statistical and machine learning models to address complex business problems.
• Drive innovation and process optimization through advanced analytics.
Data Cleaning and Pre-processing:
• Perform meticulous data cleaning and pre-processing using SAS and SQL.
• Ensure data accuracy and integrity.
Risk Management and Commercial Opportunities:
• Utilize statistical and machine learning models to identify new commercial possibilities.
• Mitigate risks and contribute to business expansion.
Exploratory Data Analysis (EDA):
• Conduct exploratory data analysis using Python and SQL.
• Provide valuable information for business strategy development.
Database Management:
• Design and manage large databases using SQL, Azure Data Studio, and Databricks.
• Ensure seamless data storage and retrieval.
Dashboards and Visualizations:
• Create interactive dashboards and visualizations using Tableau/Power BI.
• Present findings and insights to stakeholders for effective communication.
Portfolio Monitoring and Reporting:
• Prepare portfolio monitoring reports based on credit performance.
• Segment customers based on risk association and track their performance.
Collaboration and Insights:
• Collaborate with business units to understand analytical needs.
• Develop ad-hoc reporting and analysis, providing valuable insights.
Performance Evaluation:
• Monitor and evaluate the performance of the credit card portfolio.
• Make necessary adjustments to improve performance and mitigate risks.
Collection Strategies:
• Develop strategies for delinquent customers.
• Analyze historical data to determine the effectiveness of previous collection efforts.
Advanced Analytics Techniques:
• Utilize advanced data analytics techniques and business intelligence tools.
• Drive business performance, achieve targets, and inform decision-making processes.
Process Improvement and Automation (Continued):
• Develop and automate process improvement tasks, leading to enhanced operational performance.
• Reduce manual intervention in analytical processes.
Key Requirements
Skills : Data Analysis, Advanced Excel, Data Reporting, Python
Data Analytic, Reporting
💡 Quick Summary
Seeking a career-building opportunity? The Data Analyst position is now open for candidates interested in the Work from home Jobs sector. This role in Uttar Pradesh offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
