Posted 3 months ago
Pricing Analyst
AI Summary
A Pricing Analyst analyses pricing data, builds and tests pricing algorithms, automates pricing processes, and supports implementation of statistical and actuarial models within pricing systems.
About this role
Pricing Analyst
WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.
Role Specification Focus on Data-Analyse, develop, deploy and test pricing data and pricing algorithms in pricing systems-Preparing test plans and constructing test case in pricing systems-Develop deep understanding of pricing data sources, data engineering and manipulation logicSubject Matter Expertise- Assist in the implementation of statistical,actuarial analysis into pricing systems- Devise, implement and monitor pricing processes within agreed time scales- Focus on automation possibilities in order to gain efficiencies- Deep understanding of pricing infrastructure, including recommending and designing changes Customer Focus- Adopt and model a strong customer focus in the delivery of all services offered by the team and - Build positive stakeholder relationships across teams Key Capabilities - Analytical skills – ability to analyse data and identify key issues, develop solutions and drive data-based decisions- Proficiency in programming, development and or testing is essential- High Level of Excel Skills, problem solving, numerical skills and accuracy - Strong and professional communication to understand scope and relay solutions – ability to convey and explain information, coherently and confidently both verbally and in writing.- The ability to understand a diverse infrastructure of technologies and complex systems in a continuously changing environment
Qualifications
Qualifications and Experience-Graduate in Computer Science, Actuarial, Analytics or similar-Minimum 1-2 years of relevant technical experience.-Technical skills a. SAS Programming – Advanced Level, b. R Programming- Intermediate to Advanced level, c. SQL – Advanced leveld. Excel and Dash boarding work– Intermediatee.Some exposure to BI reporting, and Visualisation tool like Cognos or Tableau or R-Shiny- Insurance industry experience desirable
Skills
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