Lumel is looking for a detail-oriented Power BI Functional Consultant – QA , with 2 to less than 4 years of experience. The ideal candidate will have strong expertise in manual testing, a solid understanding of QA processes, and preferably prior exposure to Power BI or Microsoft Fabric for data validation and analytics testing.
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Analyze business requirements, functional specifications, and user stories.
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Design and execute detailed test cases for web and data-driven applications.
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Perform functional, regression, integration, and system testing.
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Validate data accuracy, reports, and dashboards (including Power BI where applicable).
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Identify, log, track, and retest defects using defect management tools.
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Collaborate with developers, product managers, and QA teams for quality assurance.
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Participate in Agile/Scrum ceremonies and contribute to sprint deliverables.
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Ensure comprehensive test coverage and maintain test documentation.
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2–4 years of experience in software testing with a focus on functional/manual testing.
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Strong understanding of SDLC, STLC, and QA methodologies.
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Hands-on experience in test case design, execution, and defect management.
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Experience with defect tracking tools (JIRA / Bugzilla or similar).
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Good knowledge of SQL for data validation and backend testing.
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Experience in web application testing.
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Familiarity with Agile/Scrum environments.
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Hands-on experience or working knowledge of Power BI (dashboard validation, report testing).
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Exposure to Microsoft Fabric or similar data/analytics platforms is a strong plus.
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Experience in BI/Data Analytics testing.
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Basic understanding of API testing (Postman or similar tools).
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Exposure to automation testing is an added advantage.
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Strong analytical and problem-solving skills.
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Attention to detail and quality-focused mindset.
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Good communication and collaboration abilities.
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Ability to manage multiple tasks in a fast-paced environment.
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Opportunity to work on cutting-edge analytics and BI products.
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Collaborative and innovation-driven work culture.
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Strong learning and career growth opportunities in data and analytics domain.
