Senior Analyst - RNA

Company Description

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.The Data Engineer is responsible for handling complex data tasks, primarily focused on data transformation and querying. This role requires strong proficiency in Python, advanced SQL techniques, and a keen understanding of database structures. The Data Engineer will extract and analyze raw data to assist the Reporting and Data Science team, providing qualitative and quantitative insights to meet business needs.Design, develop, and maintain data transformation processes using SQL and Python.Handle complex data tasks focused on data processing and querying.Collaborate with the Data team to understand data requirements and efficiently transform data in SQL environments.Build and optimize data pipelines to ensure efficient data flow and transformation.Ensure data quality and integrity throughout the data transformation process.Troubleshoot and resolve data issues as they arise.Document data processes, workflows, and transformation logic. Engage with clients to determine the reporting needs, leveraging experience in visualization to suggest optimal solutions.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, or a related field.2-4 years of experience as a Data Engineering role. Strong proficiency in SQL, with advanced techniques for data manipulation and querying.Working experience with Power BI data models and DAX commands.Proficient in Python for data processing and automation tasks.