We are seeking a skilled and detail-oriented Data Analyst to join our team. The ideal candidate will have hands-on experience with Python coding, Data analysis, QA experience with test case creation, test automation, and end-to-end testing. In this role, you will work closely with software engineers and AI scientists to ensure the delivery of high-quality products and solutions.

At least 3 years of experience in a relevant field.Experience in common Python data analysis libraries (e.g., NumPy, Pandas).Proficiency in manual and automated testing methodologies, including quality concepts.Strong background in QA Testing process development, execution, and documentation.Experience in evaluating software architectures and designing automated test plans to address potential issues.Experience with Agile and Scrum methodologies.In-depth knowledge of web technologies and testing web APIs/REST services.Familiarity with software automation testing tools like Selenium and Cucumber.Ability to analyze and review data to identify patterns, issues, and trends within test data, logs, and reports. Strong attention to detail and ability to draw actionable insights from complex data sets.Knowledge of cloud technologies and platforms such as AWS.Proficient in using business intelligence tools like Power BI to visualize and analyze test data, identify trends, and provide actionable insights to improve product quality.Experience in breaking complex software systems and identifying weaknesses in quality, performance, or scalability.Experience in evaluating software architectures and designing automated test plans to address potential issues.Knowledge of Test-Driven Development (TDD), Behavior-Driven Development (BDD), and Acceptance Test-Driven Development (ATDD).Experience automating complex systems integration (End-to-End).Experience integrating Selenium regression tests with Continuous Integration tools like Jenkins.Good to have Linux command line and basic Linux server administration skills.Good understanding of git and working collaboratively on team-level code bases.Prior experience in the P&C insurance industry is a plus.Bachelor’s degree in computer science or a related field, or equivalent experience.Write and maintain Python scripts to support data analysis.Analyze test data, logs, and other relevant information to identify issues and ensure high data quality.Own the software QA process, including developing, implementing, and maintaining test plans, scenarios, and cases.Analyze requirement and design specifications to develop relevant test cases.Perform both manual and automated tests for websites and applications.Develop and maintain automated test suites for web and application testing using appropriate tools and frameworks.Identify and report defects with clear steps to reproduce.Manage testing across multiple applications using a range of tools and technologies.Support and execute application testing phases (functional and non-functional) to ensure software meets requirements before production.Perform end-to-end testing for the entire application, ensuring that all components and interactions work as expected from the user’s perspective.Coordinate with developers and AI analysts to identify requirements, potential issues, and improvements in both functional and non-functional aspects of the software.Identify, document, and track defects in the software, providing clear, concise information to facilitate quick resolution.Stay current with industry trends and best practices to improve the quality and efficiency of the testing process.