SAS Developer

WNS; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

WNS in Bengaluru is seeking a senior data analytics professional to analyse and monitor commercial insurance data and portfolio performance. You will design ETL processes, build dashboards, and act as a SME for portfolio analytics, collaborating with engineers and business teams to deliver reliable data solutions.

The role emphasizes testing, automation, and strong Excel and data visualization skills, with a focus on scalable, accurate data delivery for insurance portfolios.

Qualifications

• Graduate degree in CS, Math, Eng, Analytics, or related.
• Minimum 5–6 years of relevant technical experience.
• 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.

Responsibilities

• 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 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.

Skills

Data analysis

Analytical thinking

Problem solving

Stakeholder management

Communication

Time management

Self-management

Customer focus

Advanced Excel

Dashboards

Programming

Testing

Education

Graduate degree in Computer Science, Mathematics, Engineering, Analytics, or a related discipline

Tools

SAS DI Studio

Tableau

R-Shiny

Amazon Redshift

CI/CD pipelines

BI reporting tools

Job description

• 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 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.
• 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.