QA Analyst / Tester

Neuiq Technologies; Mumbai; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Neuiq Technologies seeks a QA Analyst / Tester to ensure accuracy, performance, and reliability of AI-driven data solutions and dashboards. You will design test plans, validate AI outputs, and support automation efforts while collaborating closely with PMs and developers.

The role emphasizes data quality, regression checks, and effective documentation, within a fast-paced, agile environment. Strong SQL skills and experience with BI tools are essential for success.

Qualifications

• 25 years of QA experience with data or AI-driven products.
• Strong data validation, SQL querying, and dashboard testing.
• Exposure to AI/ML-based products or chat/insight models preferred.
• Experience with test case management and defect tracking tools like Jira or ClickUp.

Responsibilities

• Develop and execute test plans, test cases, and validation scripts for AI dashboards and reporting systems.
• Participate in UAT cycles, document issues and track closure with development teams.
• Validate AI outputs for consistency with business logic and KPIs.
• Collaborate with PMs, BSA, and developers for smooth QA handoffs and reporting.

Skills

QA experience

Data QA

SQL querying

Dashboard testing

AI/ML exposure

Test planning

Documentation

Communication

Agile

Tools

Jira

ClickUp

Job description

Role & responsibilities

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.

Key Responsibilities

• 1. **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.
• 2. **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.
• 3. **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.
• 4. **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.

Required Skills & Experience

• - 25 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.
• - Strong 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.