Data Analysis

As a Quality Assurance Lead, you will have the following key responsibilities: - Oversee all aspects of quality assurance, including establishing and reporting on metrics, applying industry best practices, and developing new tools and processes to ensure quality goals are met. - Adhere to formal QA processes, ensuring that the Data & BI Implementation team is using industry-accepted best practices. - Ensure data accuracy in both SQL and SSIS. - Document detailed and effective written communication skills to document the features tested and bugs found. - Act as the key point of contact for all QA aspects of releases, providing test services and coordinating QA resources internally and externally in SQL. - Create and provide feedback on test cases, scripts, plans, and procedures (manual and automated) and be responsible for executing them. - Manage the entire Data/BI solution development life cycle and test cycles, including unit, regression, functional, systems, stress & scale, smoke, and sanity testing. - Have strong experience in functional testing and test automation. - Break down processes and test different scenarios at every step. - Diagnose defects and track them from discovery to resolution. - Ensure all testing work is carried out in accordance with the testing plan, including schedule and quality requirements. - Collaborate with the data warehouse architect, the ETL lead, and BI developers in the construction and execution of test scenarios applicable to the development, test, and production data warehouse environment. - Perform necessary BI UX testing, BI runs, ETL runs, maintain quality monitoring dashboard/reports, etc. You will need the following qualifications for this role: - Detailed knowledge and experience in Quality Assurance processes and methodologies. - Proficiency in SQL, SSIS, and other relevant tools. - Excellent communication skills, both verbal and written. - Strong analytical and problem-solving skills. - Experience in test automation and functional testing. - Ability to work collaboratively with cross-functional teams. - Bachelor's degree in Computer Science or a related field. The company emphasizes the importance of maintaining high-quality standards in the Data & BI Implementation team and values effective communication and collaboration among team members.,