• Analyse, develop, deploy, and test commercial insurance data and portfolio monitoring solutions.
• Prepare test plans and develop test cases for commercial portfolio systems.
• Develop a deep understanding of commercial portfolio data sources, data engineering, and data manipulation logic.
• Act as a Subject Matter Expert (SME) in commercial insurance data and portfolio analytics.
• Design, implement, and monitor pricing processes within agreed timelines.
• Identify and implement automation opportunities to improve operational efficiency.
• Understand commercial insurance infrastructure and recommend and design system improvements.
• Analyse complex datasets, identify key issues, and drive data-driven business decisions.
• Demonstrate robust programming, development, and testing skills.
• Possess advanced Microsoft Excel skills and strong numerical and analytical abilities.
• Apply excellent problem-solving skills with a high level of accuracy and attention to detail.
• Build and maintain positive stakeholder relationships across business and technical teams.
• Demonstrate strong customer focus and ensure effective service delivery.
• Communicate technical information, findings,



and solutions clearly and professionally.
• Adapt quickly to changing business requirements and work environments.
• Understand diverse technology infrastructures, data platforms, and complex systems.
• Demonstrate strong self-management, prioritization, and time-management skills.
• Deliver high-quality outputs while meeting business deadlines.
• Graduate degree in Computer Science, Mathematics, Engineering, Analytics, or a related discipline.
• Minimum 5–6 years of relevant technical experience.
• Advanced-level SQL skills (Mandatory).
• Advanced-level SAS Programming skills (Mandatory).
• Intermediate-level Python programming skills (Mandatory).
• Exposure to SAS DI Studio (Good to have).
• Intermediate-level Microsoft Excel and dashboarding skills.
• Exposure to BI reporting and data visualization tools such as Tableau and R-Shiny.
• Mandatory knowledge of Amazon Redshift architecture.
• Strong understanding of ETL workflows and data flow architecture.
• Mandatory knowledge of CI/CD pipelines and deployment processes.
• Experience in the insurance industry is highly desirable.

📌 SAS Developer (Bengaluru)
🏢 WNS
📍 Bengaluru