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SAS Developer

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Onsite

SAS Developer

Indusind Nippon Life Insurance

SAS Developer

Skills

SQL QueriesTableauData MiningPythonData VisualizationRData AnalysisCompliancePower BI

18 days ago

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Important information


Contract type:

Permanent

Salary:

₹1,000,000 – ₹1,400,000 / year

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

2 October 2026

What they need


Role & responsibilities

  • Program Development Design, develop, and implement SAS programs (Enterprise Guide) for data extraction, manipulation, and reporting in accordance with business requirements.
  • Data Analysis: Perform statistical analysis and generate reports to provide insights into business performance and trends.
  • Data Management: Ensure data integrity and accuracy through rigorous validation and quality control processes.
  • Reporting: Create and maintain detailed reports and dashboards for various departments, including underwriting, claims, and actuarial teams.
  • Collaboration: Work with cross-functional teams to understand data needs and provide solutions that align with organizational goals.
  • Documentation: Maintain comprehensive documentation for SAS programs, processes, and data handling procedures
  • Troubleshooting: Identify and resolve programming issues and data discrepancies efficiently.
  • Compliance: Ensure adherence to industry regulations and company policies regarding data handling and privacy.

Preferred candidate profile

  • Bachelors degree in computer science, Statistics, Mathematics, or a related field. Advanced degree is a plus
  • Proven experience as a SAS Programmer(Enterprise Guide), preferably within the insurance or financial services industry
  • Proficiency in SAS EG(Enterprise Guide), SAS Macro, and SAS SQL
  • Experience with data manipulation, statistical analysis, and report generation
  • Strong analytical skills with attention to detail and accuracy
  • Ability to work independently and as part of a team in a fast-paced environment
  • Excellent communication skills, with the ability to convey technical information clearly to non-technical stakeholders.
  • Knowledge of life insurance products and regulatory requirements.
  • Experience with additional programming languages such as R, Python, or SQL.
  • Familiarity with data visualization tools like Tableau or Power BI
  • Understanding of data warehousing concepts and ETL processes.

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