Position Summary

The QA Lead for Data & Analytics will be responsible for establishing and leading the quality assurance strategy across data pipelines, analytics platforms, and reporting systems. This role ensures that data products meet the highest standards of accuracy, reliability, and compliance, supporting enterprise-wide decision-making and operational efficiency. A key focus will be enabling and supporting self-service analytics users across the organization.

Key Responsibilities

� Develop and implement QA testing frameworks & policies for data ingestion, transformation, and visualization processes.

� Lead test planning, execution, and test automation for ETL pipelines, dashboards (e.g., Power BI), and analytics models.

� Collaborate with data engineers, analysts, and product owners to define quality standards and acceptance criteria.

� Establish and monitor data quality metrics, dashboards, and root cause analysis workflows.

� Mentor and guide junior QA analysts and engineers.

� Ensure compliance with internal data governance and external regulatory requirements.

Self-Service Analytics Support

� Define and enforce QA standards for self-service analytics tools and workflows.

� Partner with business users to validate data sources, metrics, and visualizations used in self-service reports.

� Develop reusable test cases and validation templates for common self-service scenarios.

� Provide training and documentation to empower users to perform basic QA checks independently.

� Monitor and audit self-service usage to identify quality risks and improvement opportunities.

� Act as a liaison between centralized data teams and business units to ensure alignment on data definitions and quality expectations.

Required Qualifications

� Bachelor’s degree in computer science, Information Systems, Data Science, or related field.

� 5 years of experience in QA roles, with at least 2 years in a lead capacity.

� Strong understanding of data warehousing, data lakes, and analytics platforms.

� Experience with QA automation tools and scripting (e.g., Python, SQL, Selenium, Informatica DQ).

� Familiarity with Agile methodologies and DevOps practices.

� Excellent communication and stakeholder management skills.

Preferred Qualifications

� Experience supporting self-service BI platforms (Power BI and Tableau).

� Knowledge of data governance frameworks and metadata management.

� Certifications in QA (e.g., ISTQB), data analytics, or cloud platforms (e.g., AWS, Azure).