Key Accountabilities:
Develop comprehensive test plans and test cases for data analytics applications, ensuring all functionalities are thoroughly tested.
Perform detailed data validation and verification to guarantee data accuracy and integrity.
Design, develop, and implement automated test scripts to enhance testing efficiency.
Conduct performance testing to ensure the data analytics platform can handle large volumes of data efficiently.
Identify, document, and track defects through resolution using industry-standard tools.
Generate detailed reports on testing activities and outcomes, providing insights and recommendations for improvement.
Functional Knowledge:
Deep understanding of banking processes, products, and workflows.
Possess comprehensive knowledge of core banking systems and their data structures.
Stay abreast of industry trends and technological advancements in data visualization and analytics.
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Technical Skills:
Proficient in DAX, SQL, Python, and testing tools such as Selenium, JIRA, and TestRail.
Strong analytical skills with a keen eye for detail to identify discrepancies and potential issues in data.
Experience in developing and executing automated test scripts.
Familiarity with cloud platforms (e.g., Azure, AWS) for scalable and efficient data processing.
Knowledge, Skills, & Experience:
Minimum Qualifications:
Bachelor’s degree in computer science, Information Technology, or a related field.
Additional degree or certifications in the field related to data science/analytics are preferred.
Minimum Experience:
Minimum 5+ years of experience working in QA testing, with a significant focus on data analytics projects.
Knowledge, Skills, and Attributes:
Knowledge and Skills:
Ability to independently manage analytics engagements from start to finish, delivering actionable insights within established timelines and budget.
The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
Use problem-solving methodologies to propose creative solutions to solve business problems.
Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems.
Strong communication skills with the ability to express technical and business concepts, ideas, feelings, opinions, and conclusions verbally and in writing. Listens attentively and reinforces words through empathetic body language and tone.
In-depth industry/business knowledge.