Hiring Data Qa/Tester @Keyrus Portugal

.Aug 18, 2024 - Keyrus Portugal is hiring a remote Data QA/Tester. Salary: competitive salary based on skills & experience. Location: Portugal. Empowered by our motto, "Making Data Matter ", Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a presence in 27 countries across 4 continents, we're on a mission to elevate the impact of data. We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery. With more than 3200 employees in all corners of the world, Keyrus is dedicated to helping businesses taking advantage of the Data and Digital paradigm to enhance their performance, facilitating, and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability. Job Summary Keyrus is looking for aData QA/Tester. The ideal candidate is confidentin designing and executing test plans within Data Architecture. You will play a crucial role in maintaining data quality andcontribute to the overall data governance framework.We value individuals who are detail-oriented, independent contributors with exceptional communication and problem-solving skills, ensuring that together, we continue to transform possibilities into reality. Note : All applications/CV's must be submitted in English. Key Responsibilities Design, develop, and execute comprehensive test plans to assess data quality, accuracy, and completeness Collaborate with data engineers, analysts, and business stakeholders to identify testing requirements and priorities Perform data profiling and validation activities to identify data quality issues Create and maintain test cases and scripts to ensure consistent testing processes Analyze test results and report defects or anomalies to the appropriate teams Contribute to the creation and maintenance of the Business Glossary Participate in data lineage activities to understand data flow and dependencies Collaborate with the Data Quality team to implement data quality improvement initiatives