SAP Analytics Cloud (SAC) QA Engineer - 100% Remote

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Job Overview

The SAP Analytics Cloud (SAC) QA Engineer at The Dignify Solutions, LLC will play a critical role in ensuring the quality and performance of our analytics solutions. This position involves developing and executing test cases, identifying defects, and collaborating with development teams to ensure that high standards of quality are met throughout the software development lifecycle. The successful candidate will be responsible for leveraging automated testing frameworks and tools to achieve optimal testing efficiency, ensuring that our analytics solutions deliver reliable and accurate insights to our clients.

Job Responsibilities

• Design, develop, and execute comprehensive test plans and test cases for SAP Analytics Cloud solutions.
• Identify, document, and track defects using appropriate tools while ensuring effective closure of identified issues.
• Collaborate with cross-functional teams including developers, business analysts, and product managers to understand functional requirements and improve test coverage.
• Utilize automated testing tools to streamline testing processes and improve overall testing efficiency and effectiveness.
• Conduct performance testing and assess system capabilities by simulating real-world use cases.
• Review and analyze system requirements and specifications to provide feedback on testability and potential risks.
• Prepare and present test summary reports to stakeholders, highlighting findings and recommendations.
• Continuously improve test processes and methodologies to enhance overall quality assurance practices.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in software quality assurance, specifically with SAP Analytics Cloud.
• Proficiency in automated testing tools and frameworks, such as Selenium or similar.
• Strong understanding of software development life cycles (SDLC) and Agile methodologies.
• Experience in performance testing and web-based applications.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Strong communication skills and the ability to work collaboratively in a remote environment.

Technologies & Tools

The SAP Analytics Cloud (SAC) QA Engineer will utilize a variety of technologies and tools including SAP Analytics Cloud, RPA (Robotic Process Automation) tools, Java, SQL, and various automated testing frameworks such as Selenium or comparable solutions. Knowledge of cloud computing environments and data visualization tools will also be essential to fulfill the responsibilities of this position effectively.

Ideal Candidates

The ideal candidates for the SAP Analytics Cloud (SAC) QA Engineer role possess a combination of technical expertise and strong interpersonal skills. They are detail-oriented with a commitment to delivering high-quality results, capable of adapting to dynamic environments and managing multiple priorities. Strong communicators who value collaboration, they approach challenges with a problem-solving mindset, demonstrating a passion for innovation and continuous improvement in quality assurance practices.