Impact Analytics- (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning,

forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year's inputs to forecast and plan this year's business. Powered by over one million machine learning

models, Impact Analytics has been leading AI innovation for a decade, setting newbenchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time,optimize operations, and drive profitability without manual intervention.

What this role entail :

- Sr. QA Engineer with strong expertise in automation, backend/data testing, and performance testing.

- This role requires not just UI testing but a data-focused QA approach with the ability to validate APIs and backend systems.

- The ideal candidate will have hands-on experience in test automation (Python, Pytest, Selenium, Playwright, javascript/typescript), SQL/database validation, performance testing, and modern DevOps-driven QA practices.

What lands you in this role :

- Minimum 4-7 years hands-on experience in automation testing.

- Test Automation : Strong hands-on experience with Python, Pytest, Selenium or Playwright with JavaScript/TypeScript for Web and API automation.

- Framework development/enhancements : Ability to contribute to automation framework design and enhancements.

- End-to-End Testing : Validate requirements, workflows, and business scenarios across layers.

- Proficient in writing complex queries, joins, aggregations, and window functions.

- API Testing : Design and execute test suites for API reliability, scalability, and performance.

-Good to have exposure or background on data-focused QA on ETL, BI testing, and data pipelines with large volumes of data (not just UI-centric testing).

- Performance Testing : Hands-on in load, stress, and scalability benchmarking using tools such JMeter, Postman, etc..

- Should have hands-on or proficiency with non-functional PSR Testing - Performance, Scalability & Reliability.

- Experience in CI/CD, integrating tests into pipelines (Jenkins, AWX), ansible scripts for automation / deployment activities

- Good to have knowledge containerization for scalable test environments like Docker

- Good to have knowledge on Mobile Apps Testing - Functional & Automation on both Android / iOS platforms