Role & seniority: Senior Data Analyst (QA & Automation Focus), 5–10 years experience

Location & work type: Hyderabad, India; Full-Time, Hybrid/Onsite (as applicable)

Stack / tools: Python (Pytest, Unittest), Selenium, advanced SQL (CTEs, window functions, aggregations, complex joins, regex), Tableau (dashboard QA), AI-assisted QA tools (e.g., ChatGPT, Copilot, TestGPT); data pipelines/ETL testing; basic exposure to AWS data stack and CI/CD (preferred)

Top 3 responsibilities

Develop and maintain test strategies, plans, and test cases for data pipelines and Tableau dashboards; perform functional testing across ETL/ELT workflows
Validate Tableau dashboards (layout, data accuracy, calculated fields, filters, parameters, KPI logic) and ensure end-to-end data integrity
Design and implement QA automation frameworks in Python; generate reusable validation scripts and test data; produce QA reports and dashboards for stakeholders

Must-have skills

5–10 years hands-on QA in Data Engineering/Analytics environments
QA automation with Python (Pytest/Unittest) and Selenium for UI/dashboard testing
Advanced SQL proficiency (CTEs, window functions, aggregations, complex joins, string ops, regex)
Functional testing of ETL/ELT pipelines; Tableau dashboard QA
Test planning, defect tracking, documentation, coverage analysis; strong stakeholder communication
AI-assisted QA tools experience and automation mindset

Nice-to-haves

Experience with

Full Description

Role: Senior Data Analyst (QA & Automation Focus)

Location: Hyderabad

Employment Type: Full-Time

Experience: 5–10 Years

Work Mode: Hybrid / Onsite (as applicable)

About the Role

We are seeking a Senior Data Analyst with strong expertise in Data QA, Automation, Advanced SQL, and Tableau dashboard testing. This role plays a key part in ensuring data accuracy, reliability, and business confidence across complex analytics and data engineering platforms.
You will collaborate closely with Data Engineers, BI Developers, Product Owners, and Business Stakeholders to deliver high-quality, production-ready analytics solutions, leveraging automation-first and AI-assisted testing practices.

Key Responsibilities

Develop and maintain test strategies, plans, and test cases for data pipelines and Tableau dashboards
Perform functional testing of data transformations, schema changes, and end-to-end pipeline logic
Validate Tableau dashboards for layout accuracy, data consistency, calculated fields, filters, parameters, and KPI logic
Design and implement QA automation frameworks using Python and tools such as Selenium for regression and pipeline testing
Write advanced SQL queries to validate data across source, staging, and reporting layers

Apply SQL concepts including

Common Table Expressions (CTEs)
Aggregations and window functions
Multi-table joins
String operations and Regex-based validations
Create reusable Python scripts for data validation, reconciliation, and test data generation
Participate in requirements analysis and collaborate with stakeholders to define clear test criteria
Leverage AI tools (e.g., ChatGPT, Copilot, TestGPT) to automate test planning, case generation, and repetitive QA workflows
Produce QA reports, defect summaries, and quality metrics for stakeholders

Mandatory Skills & Qualifications

5–10 years of hands-on QA experience in Data Engineering / Analytics environments
Strong experience in QA automation using Python (Pytest, Unittest)
Hands-on experience with Selenium for UI and dashboard automation testing

Advanced proficiency in SQL, including

CTEs - Window functions, Aggregations, Complex joins , String manipulation and Regex
Strong experience in functional testing of ETL/ELT pipelines

Senior Data Analyst (QA & Automation Focus)