QA Analyst

• →Quality Assurance Execution: Execute comprehensive test cases, identify data discrepancies, and document defects to ensure the integrity and accuracy of our data pipelines and reporting structures.
• →Data Validation & Verification: Query and analyze complex data sets to verify that information processing through our systems aligns perfectly with established business logic and specifications. A strength here is a must.
• →Process Optimization: Contribute to maintaining and continuously improving QA documentation, standard operating procedures, and testing frameworks to ensure repeatable, scalable processes.

• Professional QA Experience: 3+ years of experience operating within a dedicated software or data quality assurance environment, with a proven track record of accurate defect tracking and reporting.
• Data Literacy: Demonstrated experience working directly with data structures, including a foundational understanding of relational databases and data manipulation.
• Analytical & Critical Thinking: Strong problem-solving skills with a keen eye for detail and the ability to conduct root-cause analysis on data anomalies.
• Communication Skills: Excellent verbal and written communication skills, with the ability to articulate technical issues and defects clearly to cross-functional stakeholders.

Experience with the following tools is considered an asset but is not required:

• Foundational knowledge of SQL or exposure to cloud-based data warehouses such as Google BigQuery.
• Familiarity with enterprise data visualization and business intelligence tools (e.g., Looker, Tableau).
• Basic exposure to Python scripting or the ability to read and interpret code.