Data Quality Analyst II

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. What You’ll Be Doing:

Dashboard QA: 

Conduct thorough end-to-end quality assurance testing of Tableau dashboards to ensure accuracy, usability, and performance. Identify and document visualization errors, data integration issues, and user experience improvements. Compare KPIs across dashboards to ensure consistency in results.

SQL Query Review & Data Quality: 

Examine and optimize SQL queries used for dashboard data sourcing. Ensure queries are free from errors, well documented, and consistent with stakeholder requirements. Perform backend validation. Support QA efforts for data quality checks and validation in both relational and non-relational databases.

Test Planning and Execution: 

Develop comprehensive test plans and test cases for both new and existing features. Execute detailed test scenarios and maintain meticulous records of tests and outcomes to ensure consistency and repeatability. Work within an Agile framework, contributing to the QA process for user stories and sprints.

Documentation: 

Work to ensure that HighLevel's set of documentation for dashboards and source transformations is as complete and accurate as possible. Maintain a library of reports/dashboards that provides users the ability to easily find reports/dashboards based on the business need.

Process Improvement & Reporting: 

Continuously improve the QA testing processes and practices to enhance efficiency and effectiveness. Advocate for best practices in quality assurance, including automation where appropriate. Generate and present clear, insightful reports on QA results, including defect density, test coverage, and overall data quality status, to relevant stakeholders,streamline and automate reporting processes for efficiency and scalability.

What You’ll Bring:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

Experience/Education/Certifications Required:

Excellent communication skills (both written and verbal) are required, with the ability to confidently interact with technical and non-technical stakeholders.

Exceptional attention to detail and a high level of accuracy in work.3+ years of QA experience, specifically in a role involving data visualization tools like Tableau, as well as relational databases.

Strong understanding of SQL and experience in reviewing and debugging SQL queries.

Experience with data quality assurance in both relational (e.g., PostgreSQL, MySQL) and non-relational databases (e.g., MongoDB, DynamoDB), Python & ETL  is a plus.

Advanced Tableau skills are required.Strong analytical skills with the ability to interpret and analyze large datasets.

Proficiency in Excel and Google Sheets, including advanced functions and formulas.

Ability to work independently and collaboratively in a fast-paced environment.

Knowledge of Agile development methodologies (e.g., Scrum, Kanban) and experience working with user stories.

A proactive attitude with a willingness to learn and adapt to new challenges.