Data Analyst
Ascendion
Date: 3 weeks ago
City: Vadodara, Gujarat
Contract type: Full time
Data Analyst SAS SQL Or Python Tableau POSITION SUMMARY
The Risk SAS Data Analyst will provide data programming and analytical support within the Collections Risk Management department to optimize operational effectiveness while minimizing delinquency and losses and improving profitability.
Responsibilities
Work with large data sets primarily in SAS
Perform statistical analysis that support Collection related initiatives
Design and maintain queries and reports to monitor and analyze strategy and portfolio performance
Communicate business results to management and internal business partners
Design and develop data tables that support Collection strategies and scorecard modeling activities
Partner with Risk Operations and Technology departments to assure that business requirements and procedures are correct clearly document and properly implemented
Candidates must have a strong technical background in SAS and SQL. Data analysis skills are very important. A business/finance or Risk background would be advantageous. A general understanding of statistics is a plus.
Requirements
Candidates must have a strong technical background in SAS and SQL. Data analysis skills are very important. A business/finance or Risk background would be advantageous. A general understanding of statistics is a plus.
Must Haves
SAS SQL or Python
Experience working with large data sets
Tableau PowerBI or other web based delivery vehicles
Risk Business or Finance background
Strong Analytical Statistical and Problem Solving Skills
Strong Written and Verbal Communication Skills
Programming: Python (Scikit-learn),
SQL
Data Visualization: Tableau, Excel,
Google Sheets, Matplotlib
Modeling: Logistic regressions, linear
regressions, decision trees
Product Analytics: Google Analytics,
A/B Testing & Experimentation
The Risk SAS Data Analyst will provide data programming and analytical support within the Collections Risk Management department to optimize operational effectiveness while minimizing delinquency and losses and improving profitability.
Responsibilities
Work with large data sets primarily in SAS
Perform statistical analysis that support Collection related initiatives
Design and maintain queries and reports to monitor and analyze strategy and portfolio performance
Communicate business results to management and internal business partners
Design and develop data tables that support Collection strategies and scorecard modeling activities
Partner with Risk Operations and Technology departments to assure that business requirements and procedures are correct clearly document and properly implemented
Candidates must have a strong technical background in SAS and SQL. Data analysis skills are very important. A business/finance or Risk background would be advantageous. A general understanding of statistics is a plus.
Requirements
Candidates must have a strong technical background in SAS and SQL. Data analysis skills are very important. A business/finance or Risk background would be advantageous. A general understanding of statistics is a plus.
Must Haves
SAS SQL or Python
Experience working with large data sets
Tableau PowerBI or other web based delivery vehicles
Risk Business or Finance background
Strong Analytical Statistical and Problem Solving Skills
Strong Written and Verbal Communication Skills
Programming: Python (Scikit-learn),
SQL
Data Visualization: Tableau, Excel,
Google Sheets, Matplotlib
Modeling: Logistic regressions, linear
regressions, decision trees
Product Analytics: Google Analytics,
A/B Testing & Experimentation
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