About Brillio:
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Born digital in 2014, Brillio applies its expertise in customer experience transformation, data analytics, Artificial Intelligence, platform and product engineering, cloud infrastructure, and security to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.
Brillio, renowned for its world-class professionals, referred to as "Brillians," distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
QA Data Specialist
Primary Skills
- DevTools, Automated Testing (ObservePoint, Beacon Tool), Adobe Analytics, Advanced Excel, Cloud VPN, Google Analytics, Google Tag Management, Jira, Manual Testing, Debugging Proxy (Charles Proxy, Telerik Fiddler, etc.)
Secondary Skills
Specialization
- Digital Analytics QA Engineer: Senior Insights Analyst
Job requirements
- • Bachelor’s Degree or equivalent experience in Computer Science or a related field • 5 years’ experience as a business analyst in Digital Analytics Platforms with GA4 experience preferred. Familiarity with Google Marketing and tag management products (Search Console, GTM etc.) will be an added advantage. • Strong expertise in data management including data strategy, data quality, and data governance. • Proficiency with SQL, ability to write complex SQLs and use SQL to extract data from complex datasets. • Hands on Experience with ETL processes • Experience in Manual/Automation/API testing • Experience with data governance implementations; Ability to analyze, establish, and document data flows, data lifecycles, technical metadata, data lineage and business definitions of information models. • Experience with user policies, roles, and data security. Familiarity with consent management and concepts of privacy by design will be a plus. • Strong analytical, problem solving and interpersonal skills, sensitivity to critical deadlines, and the ability to operate in a self-guided manner in a high-pressure. fast-paced, rapidly changing environment.
- #LI-PA1
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