- 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 strong 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 solid 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