Job highlights

- 2-5 years of experience in QA,preferably with data or AI-driven products. . Strong understanding of data validation,SQL querying,and dashboard testing (Power BI,Tableau,etc.).

- preferred.

- maintain detailed QA documentation and UAT feedback logs. .

Key Skills Experience

Role overview The QA Analyst / Tester will play a key role in ensuring the accuracy, performance, and reliability of AI-driven data solutions, reporting dashboards, and automation products. This role requires a balance of analytical thinking, structured testing, and technical understanding of AI and data systems.

Responsibilities

- Testing UAT for AI Solutions: Develop and execute test plans, test cases, and validation scripts for AI-driven dashboards and reporting systems; participate in user acceptance testing (UAT) cycles, document issues, and track closure with development teams; validate prompt responses and AI outputs for consistency, relevance, and alignment with business logic.

- Data Quality Assurance: Validate data accuracy, transformations, and integrity across data pipelines (SQL, APIs, cloud sources); ensure dashboard metrics align with underlying source data and business KPIs; perform regression and sanity checks post data refresh or model updates.

- Automation Process Optimization: Support test automation and data validation processes using Python, SQL,



or low-code testing tools; document repeatable QA workflows and assist in building QA automation frameworks for dashboards and agents; provide insights to improve data quality, system reliability, and reporting consistency.

- Collaboration Reporting: Work closely with project managers, BSA, and developers to ensure smooth QA handoffs; communicate QA progress, risks, and dependencies proactively; maintain detailed QA documentation and UAT feedback logs.

Key Skills Experience

- 2-5 years of experience in QA, preferably with data or AI-driven products.

- Strong understanding of data validation, SQL querying, and dashboard testing (Power BI, Tableau, etc.).

- Exposure to AI/ML-based products or chat/insight generation models (OpenAI, LangChain, etc.) preferred.

- Experience with Jira, ClickUp, or similar tools for test case management and defect tracking.

- Solid analytical, documentation, and communication skills.

Behavioral Competencies

- Detail-oriented and methodical with strong problem-solving mindset.

- Comfortable working in fast-paced agile environments.

- Collaborative and proactive in cross-functional discussions.

- Strong ownership and accountability for quality outcomes.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Quality Analyst - Tester_Data and AI (Mumbai)
🏢 Neuiq Ai
📍 Mumbai