Business Intelligence Quality Assurance Specialist

21 hours ago


Oak Brook, Illinois, United States Radiological Society of North America Full time
About the Role

We are seeking a highly skilled Business Intelligence Quality Assurance Analyst to join our Agile Data Team at the Radiological Society of North America. As a key member of our team, you will be responsible for implementing quality assurance standards for our data and reporting solutions.

Key Responsibilities
  • Determine Business Needs: Identify critical business needs for quality assurance testing to ensure alignment with project objectives.
  • Develop Test Strategies: Create and implement test strategies, plans, and scripts for testing data sets and reports tailored to the project's needs.
  • Conduct Thorough Testing: Perform comprehensive testing of datasets, SQL queries, and reporting solutions (Power BI, Crystal Reports, Data Analyzer, SSRS) to ensure accuracy, completeness, and reliability.
  • Collaborate with Cross-Functional Teams: Work with cross-functional teams to understand business requirements and ensure that data and reporting solutions meet stakeholder needs.
  • Advocate for QA Best Practices: Adopt and advocate for QA best practices, contributing to the enhancement of QA processes, shortening of QA cycles, and improvement of back-end process quality.
  • Identify and Escalate Risks: Proactively identify, escalate, and communicate any risks or issues encountered during testing phases, including test execution and bug reporting, to ensure timely resolution.
Requirements
  • Minimum of 2 Years' Experience: Minimum of 2 years' experience in Quality Assurance, specifically with a strong emphasis on testing SQL and reporting systems.
  • Proficient in SQL: Proficient in SQL, with a proven record of writing and executing complex SQL queries for testing purposes, data validation, and to identify data anomalies and integrity issues in relational databases.
  • Experience with Data Visualization Tools: Hands-on experience with data visualization tools such as Power BI, as well as report authoring tools like SSRS and Crystal Reports.
  • Working Experience with MS SQL Databases: Working experience using MS SQL databases and testing tools, as well as experience with QA methodologies.
  • Familiarity with Data Warehousing Concepts: Familiarity with data warehousing concepts.
Nice to Have
  • Experience with Agile Methodologies: Experience with Agile methodologies and software development lifecycle (SDLC) processes is a plus.
  • Conducting Unit Tests: Conducting unit tests on Rest APIs and other API interfaces, utilizing tools such as Postman for comprehensive testing.


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