Job Description
Position: Data Quality Analyst II
Reports To: Director, Data and AI
Location: India (Remote)
Level: P2
Schedule: 2PM – 11 PM IST
About Us
HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.
Our People
With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.
Our Impact
As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.
Who You Are:
As a Data Quality Analyst II, 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, Data in warehouse and SQL queries meet the highest standards of quality and reliability. You are adept at supporting QA work for data quality across both relational and non-relational databases. 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. You have excellent communication skills that enable you to speak with stakeholders confidently to gather requirements and discuss QA results. ensuring data accuracy, sanctity, and usability across the organization.
