Senior Analyst - Informatica Developer - Chennai -… at WNS · Chennai

companyDescription WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact. jobDescription • At-least 5 yrs of Strong ETL Testing Experience using PythonPyspark • Analyse actuarial business requirements, source to target mappings, and transformation logic for actuarial data flows• Design and execute ETL test cases for actuarial datasets • Perform source to target reconciliation to validate actuarial metrics such as ultimate values, reserves, and loss ratios• Validate historical data movements, effective dated records, restatements, and development logic used in actuarial models• Conduct data quality checks to ensure completeness, accuracy, consistency. • Validate complex aggregation and transformation rules used in actuarial calculations.• Work closely with actuaries, data engineers, finance teams, and business analysts to investigate discrepancies and drive resolution• Log, track, and manage defects using defect tracking tools such as JIRA• Ensure compliance with audit, governance, and regulatory standards applicable to actuarial data________________________________________Required Skills & Experience• Strong experience in ETL testing within actuarial or insurance data environments• Strong Experience using Python for validation and automation.• Advanced SQL proficiency for complex reconciliations, aggregations, joins, and variance analysis• Hands-on experience with ETL tools (Informatica, DataStage, Talend, SSIS, or similar)• Solid understanding of actuarial data concepts, including: o Reserves and ultimate calculations• Strong knowledge of relational databases, data modeling, and dimensional schemas• Experience with test management and defect tracking tools• Strong analytical mindset with high attention to numerical accuracy and data integrity________________________________________Nice to Have• Exposure to modeling data flows• Experience testing data supporting actuarial• Understanding of actuarial systems or tools (e.g.,Prophet)• Scripting or automation experience for data validation and reconciliation• Experience working with large, long historical datasets• Experience in DataLake Concepts qualifications • Bachelor's degree in Computer Science, Information Technology, or a related field.• Minimum of 3 years of experience in ETL Testing using Informatica/Python• Strong understanding on data warehousing concepts, data modelling, and database design.• Proficient in ETL workflows, mappings, and transformations• Good in Unix Commands, SQL and relational databases (e.g., Hive).• Knowledge of performance tuning and optimization techniques for ETL processes.• Excellent problem-solving skills and attention to detail.• Strong communication and collaboration skills, with the ability to work effectively in a team environment.• Proficient in MS Excel, Word and PowerPoint.• Willing to learn new software, systems, and technologies.• Preferable : Life insurance knowledge additionalInformation