Sr. Quality Assurance Analyst - ETL

As a Mercer Marsh Benefits Analytics QA Engineer, you will be contributing to the vision of delivering value to clients through data and analytics-based insights. Mercer Marsh Benefits (MMB) is a global leader in the health and benefits marketplace, operating in 135 countries and specializing in designing benefits solutions tailored to both businesses and their employees. Joining our rapidly growing organization in Mumbai, you can expect an environment that supports personal and professional development, opportunities to learn new tools and technologies, and involvement in creating data-driven solutions that add significant value for our clients. As part of the health and benefits industry, you will collaborate with industry leaders, global clients, and stay updated on the latest trends. At Mercer Marsh Benefits, you will have the chance to work on breakthrough data and analytics projects that contribute to the health and benefits industry. You will be responsible for bringing QA experience to define product testing frameworks, produce testing plans, and write test cases to ensure the quality of our products. This role reports to the MMB Analytics Data Governance Lead and requires collaborating with various stakeholders to resolve issues promptly. Your roles and responsibilities will include: - Developing and executing test plans, stories, scenarios, scripts, and procedures for ETL or Data Quality processes - Verifying data completeness, accuracy, and integrity throughout the ETL/Data Quality process - Identifying, documenting, and tracking defects in defect tracking systems and collaborating with developers to resolve issues - Conducting regression testing, performance testing, and ensuring quality through all stages of the ETL/Data Quality product lifecycle - Advising on preferred QA technologies, frameworks, and processes and implementing QA best practices To excel in this role, you need: - 5+ years of hands-on experience in data QA/testing role - Experience with Selenium for automated testing - Proven experience as a data-specific QA Team Lead or QA Engineer - Masters/bachelors degree in information sciences/engineering or equivalent - Strong understanding of web development languages and practices - Proficiency in using testing frameworks such as Cypress and Jest - Ability to evaluate testing outcomes against acceptance criteria and track bugs using tools like JIRA - Familiarity with AWS services, SQL, Python, R, and other relevant technologies - Excellent communication skills and experience working with international stakeholders If you have demonstrated experience in automated and manual testing frameworks, expertise in data-specific testing, experience in the Healthcare/Insurance industry, and the ability to build relationships with stakeholders across the globe, you will stand out in this role.,