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Senior Data Analyst; QA & Automation Focus

Job in 500001, Hyderabad, Telangana, India
Listing for: SID Information Technologies
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, IT QA Tester / Automation, Data Science Manager
Job Description & How to Apply Below
Position: Senior Data Analyst (QA & Automation Focus)
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
Solid hands-on experience in Tableau dashboard QA  (filters, visuals, calculated fields, data accuracy)
Expertise in  test planning, defect tracking, documentation, and coverage analysis
Excellent communication and stakeholder management skills
Strong AI & automation mindset  with practical exposure to AI-assisted QA tools

Preferred

Skills:

Experience with  AWS Data Stack  (S3, Athena, Glue, RDS)
Exposure to  CI/CD pipelines  (Git Hub Actions, Jenkins)
Familiarity with  Agile / Scrum methodologies

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Position Requirements
10+ Years work experience
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