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Analytics","description":"<p><strong>About us:&nbsp;</strong></p><p>We are a highly successful 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Businesses worldwide trust our expertise to protect their assets, relying on our comprehensive risk assessments and robust, engineering-based insurance solutions to safeguard against fire, natural disasters, and other perils. Serving over a quarter of the Fortune 500 and major corporations globally, we deliver data-driven strategies that enhance resilience, ensure business continuity, and empower organizations to thrive.&nbsp;</p><p>FM India is a strategic location for driving our global operational efficiency. Our presence in India allows us to leverage the country’s talented workforce and advance our capabilities to serve our clients better. We have diverse corporate functions that emphasize research, advanced technologies like AI and analytics, risk engineering, research, finance, marketing, HR, etc. working together to provide innovative solutions and nurture lasting relationships – from co-workers to clients.&nbsp;</p><p><strong>Role Title: Senior Quality Assurance Specialist - Analytics.</strong></p><p><strong>Position Summary:</strong></p><p>Responsible for planning, executing, and validating quality assurance activities for enterprise analytics and data-driven applications. The role is responsible for ensuring data accuracy, consistency, and reliability across the Analytics Technology systems. The role is responsible for developing validation processes, testing data pipelines, and identifying data anomalies. Working with the business data analyst and data engineering roles, this role develops and maintains test plans, test case design and development, test environment setup and maintenance, test execution, and test cycle closure. The role will also be responsible for automated testing solutions to ensure data integrity, system functionality, and adherence to established standards. This position partners with development and business teams to identify defects, support system releases, and promote consistent QA practices across the analytics environments.</p><p><strong>Job Responsibilities:</strong></p><ul><li>Identifies detailed business data requirements which need to be tested and determines what constitutes an appropriate test for each requirement. Identifies requirements that need clarification to develop an appropriate test. Develops test plans covering the aggregation of testing requirements identified.</li><li>Develops and maintains specific test cases (i.e. test data, test processes, and test results) for component/assembly testing, integration testing, system testing, security and control testing, data conversion testing, and regression testing. Participates in code reviews to clarify requirements, validate test cases, and provide feedback to the development team.</li><li>Plans, tests, and reports the results of manual and automated functional testing; identifies and tracks defects and interacts with development staff to isolate and resolve; retests to confirm defects have been corrected. Participates in defect management/triage. Validates functionality across system releases. Develops automated test scripts where appropriate.</li><li>Determines compliance with test plans and procedures; tracks development of project artifacts necessary for Quality Assurance throughout the lifecycle; ensures that projects adhere to methodology and standard practices; mentors IS personnel on appropriate QA practices and procedures.</li><li>Responsible for structural database testing (schema, table and column, keys and indexes, stored procedures), functional database testing, non-functional database testing, ETL testing, data migration testing, regression testing, load, stress, performance, and reliability testing efforts and associated analysis.</li><li>Ensures test environments are properly configured and available for each project as scheduled. Implements automated testing tools. Performs periodic system audits to ensure that only controlled versions of the software reside in the appropriate environments. Communicates deployment status to project team(s).</li></ul><p><strong>Skill and Experience:</strong></p><ul><li>3 years of experience required to perform essential job functions.</li></ul><p><strong>TECHNICAL KNOWLEDGE &amp; SKILLS:&nbsp;</strong></p><ul><li>Strong understanding of core QA principles (customer focused, stop bugs before they are released to production, continuous improvement, evidence-based decisions to ensure test coverage) as well as&nbsp;key QA methodologies and core QA practices (automated testing, risk-based testing, system testing and UAT).</li><li>Familiarity with functional, integration, and regression testing.</li><li>In-depth knowledge of data testing, including core data quality testing, structural and technical testing, specialized data testing, as well as familiarity with positive/negative test data, use of synthetic data, and masked/sensitive data.&nbsp;</li><li>Knowledge of relational databases, dimensional databases, data validation techniques, and data pipeline testing in modern analytics environments.</li><li>Familiarity with cloud-based data platforms and ETL/ELT processes.</li><li>Demonstrated ability to design and execute test strategy and plans for complex data workflows and large datasets.</li><li>Experience in test execution, analysis and reporting, testing lifecycle processes and testing tools.</li><li>Proven ability to perform functional, integration, and regression testing and to accurately evaluate and document the results.</li><li>Experience with automated testing tools.</li></ul><p><strong>SOFT SKILLS:</strong></p><ul><li>Excellent analytical ability and communication skills, strong judgment, and the ability to work effectively with business personnel, data analytics and IT management and staff.</li><li>Attention to detail.</li><li>Critical thinking skills.</li><li>Ability to quickly learn business processes across functional business areas.</li></ul><p><strong>Must Have Skills:</strong></p><ul><li><strong>Required:</strong> Advanced SQL skills, Excel, AI (GitHub Copilot, Claude, M365 Copilot).</li></ul><p><strong>Good to Have Skills:</strong></p><ul><li><strong>Preferred: </strong>Functional test automation and scripting; 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