Job Title:
Data Quality Analyst
Job Overview:
We are seeking a skilled and detail-oriented Quality Analyst to join our team. The ideal candidate will have hands-on experience with Python scripting, data analysis and both manual and automated testing of applications supporting business objectives. In this role, you will collaborate closely with software engineers, AI scientists, and cross-functional teams to ensure the delivery of high-quality, reliable, and data-driven products and solutions.
Key Responsibilities:
- 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.
- Perform both manual and automated tests for websites and applications.
- Write and maintain Python scripts to support data analysis.
- Analyze requirement and design specifications to develop relevant test cases.
- 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.
Qualifications:
- At least 3 years of experience in a relevant field.
- Ability to analyze and review data to identify patterns, issues, and trends within datasets, logs, and reports. Strong attention to detail and ability to draw actionable insights from complex data sets.
- Proficient in Microsoft Excel, including advanced functions, pivot tables, and data visualization for reporting and analysis
- Knowledge of common Python data analysis libraries (e.g., Pandas).
- Skilled in using business intelligence tools like Power BI to visualize and analyze test data, uncover trends, and provide data-driven recommendations to improve product quality.
- Strong background in QA process development, execution, and documentation.
- Proficiency in manual and automated testing methodologies, including quality concepts.
- Good understanding of git and working collaboratively on team-level code bases.
- Experience with Agile and Scrum methodologies.
- Knowledge of cloud technologies and platforms such as AWS is a plus.
- Experience with the Linux command line and basic Linux server administration skills is a plus.
- Prior experience in the P&C insurance industry is a plus.
- Bachelor’s degree in computer science or a related field, or equivalent experience.
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