JR-223225 QA Engineer Senior

Customertimes; United States; Remote; USD 9,600 - 14,000; Full time

Job summary

Customertimes, a global digital engineering and technology consulting company, seeks a QA specialist for an analytics/BI product. You will combine manual and automated testing, validate UI against backend data, and contribute to a Python-based automation framework.

Role involves testing dashboards, charts, NLP queries, and data pipelines; collaboration with developers, PMs, and data analysts is essential for reliable releases and uptime.

Qualifications

• 5+ years of QA experience focusing on manual/functional testing of analytics applications
• Hands-on with data-intensive applications — validating large datasets, reports, and analytics outputs
• Prior exposure to BI, analytics, or reporting platforms preferred
• Experience with performance testing tools and result analysis
• Bachelor's degree in computer science, information technology, or related field

Responsibilities

• Design, develop, and execute test plans and cases for an analytics/BI product
• Perform functional, regression, integration, and exploratory testing across releases
• Design and run performance and load tests and report bottlenecks
• Validate analytics UIs, sorting, filtering, and data accuracy
• Data validation by comparing UI results against backend data via SQL and API responses
• Identify, document, and track defects using Jira; participate in triage
• Collaborate with developers, PMs, and data analysts to clarify requirements
• Provide sign-off on stories based on test execution and defects
• Ensure compliance with data privacy and security standards across testing activities
• Contribute to and maintain automation framework built on Python, pytest, and Selenium
• Write clean automation scripts following Page Object Model (POM)
• Automate regression suites and validate data-intensive flows
• Support teams in adopting the automation framework
• Participate in code reviews for automation scripts

Skills

Manual testing

Automation testing

SQL queries

Python scripting

Performance testing

Data validation

Jira

API testing

Education

Bachelor's degree in CS/IT

Tools

Selenium

pytest

Katalon

JMeter

Job description

Hello, our name is Customertimes, but you can call us CT. We are a global digital engineering, product development, and technology consulting company. Headquartered in New York, we have a team of 1000+ experts working across 65+ countries.

About this job:
We are looking for a QA specialist to join a team working on an analytics/BI product. In this role, you will help ensure the quality, accuracy, and performance of data-intensive analytics applications, including dashboards, charts, and natural language query features. You will combine manual and automated testing, validate UI results against backend data, and contribute to the team's Python-based automation framework. You will work closely with developers, project managers, and data analysts to clarify requirements and deliver reliable product releases.

Location: Remote, India

How you'll make an impact:

Functional & manual testing:

• Design, develop, and execute comprehensive test plans and test cases for an analytics/BI product;
• Perform functional, regression, integration, and exploratory testing across application releases;
• Design and run performance and load tests (e.g., k6, JMeter, Lighthouse) and report on bottlenecks;
• Validate analytics UIs including sorting, filtering, chart data accuracy, dashboard rendering, and NLP query outputs;
• Perform data validation by comparing UI results against backend data via SQL queries and API responses;
• Identify, document, and track defects using Jira; participate in triage and ensure timely resolution;
• Collaborate with developers, project managers, and data analysts to clarify requirements and validate feature implementations;
• Provide sign-off on stories based on thorough test execution, acceptance criteria coverage, and defect status;
• Ensure compliance with data privacy and security standards across all testing activities.

Automation testing:

• Contribute to and maintain the team's automation framework built on Python, pytest, and Selenium;
• Write clean, maintainable automation scripts for UI-based test scenarios following the Page Object Model (POM) architecture;
• Automate regression suites and validate data-intensive flows including search, sort, filter, and charting functionality;
• Support solution and product teams in adopting and using the automation framework effectively;
• Participate in code reviews for automation scripts and provide constructive feedback.

Experience & background:

• 5+ years of experience in QA, with a strong focus on manual/functional testing of business or analytics applications;
• Hands-on experience with data-intensive applications — validating large datasets, reports, and analytics outputs;
• Prior exposure to BI, analytics, or reporting platforms strongly preferred;
• Experience with performance testing tools and result analysis;
• Bachelor's degree in computer science, information technology, or a related field.

Functional testing skills:

• Strong understanding of data validation and data quality processes, including UI-to-database verification;
• Ability to validate analytics and reporting UIs: sorting, filtering, chart data, drilldowns, and data accuracy checks;
• Proficiency in SQL for backend data validation and cross-checking UI results;
• Experience with test case and test scenario creation, test planning, and defect lifecycle management.

Automation skills:

• 1-2 years of practical automation scripting experience using Selenium, pytest, Katalon, or similar tools;
• Working knowledge of Python for automation; willingness to work in Python/pytest if coming from another stack;
• Understanding of Page Object Model (POM) architecture and automation best practices;
• Experience automating UI-based test scenarios; API test automation is a plus;
• Ability to support other teams in understanding and adopting automation frameworks.

Additional comments:
Functional, automation, data validation, and performance testing

If you're looking to contribute to global projects, grow your skills, shape the way you work, and be part of a connected international community — Customertimes is the place to build your next career chapter. Are you ready to spark the tech with us?