Engineering · India · Remote possible
Position: Senior Data QA Analyst Reports To: Manager, Data Analytics Shift Timing: 12pm - 9pm IST This role is 100% remote for residents of India.
About HighLevel: HighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With a focus on streamlining marketing efforts and providing comprehensive solutions, HighLevel helps businesses of all sizes achieve their marketing goals. We currently have 1000+ employees across 15 countries, working remotely as well as in our headquarters, which is located in Dallas, Texas. Our goal as an employer is to maintain a strong company culture, foster creativity and collaboration, and encourage a healthy work-life balance for our employees wherever they call home.
Our Website - https://www.gohighlevel.com/ YouTube Channel - https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g Blog Post - https://blog.gohighlevel.com/general-atlantic-joins-highlevel/
Our Customers: HighLevel serves a diverse customer base, including over 60K agencies & entrepreneurs and 450K million businesses globally. Our customers range from small and medium-sized businesses to enterprises, spanning various industries and sectors.
Scale at HighLevel: We work at scale; our infrastructure handles around 3 Billion+ API hits & 2 Billion+ message events monthly and over 25M views of customer pages daily. We also handle over 80 Terabytes of data across 5 Databases.
Who You Are: As a Senior QA Analyst, you bring a critical eye to every aspect of quality assurance, with a special focus on data integrity and visualization accuracy. Your expertise lies in ensuring that both Tableau dashboards and SQL queries meet the highest standards of quality and reliability. You have deep experience testing and vetting dashboards and analytical products to ensure consistency and accuracy. With a strong background performing Quality Assurance for data teams, you are adept at identifying discrepancies and inconsistencies that others might overlook. Your meticulous approach to QA processes helps ensure that all data team deliverables are accurate, effective, and consistent with stakeholder requirements.
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