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Data Analyst QA Lead

Centstone

Data Analyst QA Lead Job Title: Data Analyst QA Lead



Location: Remote



Job Type: Contract



Experience: Senior-level experience in data analysis and QA Position Overview

We are seeking an experienced Data Analyst QA Lead to support data-driven applications and workflows. This role combines data analysis, quality assurance, data validation, SQL/PL/SQL development, Python scripting, and QA leadership.

Responsibilities
  • Lead QA activities for data-centric applications, platforms, and workflows.

  • Analyze requirements and develop data validation strategies and test scenarios.

  • Perform data analysis and validation using SQL and PL/SQL .

  • Use Python for data analysis, test scripting, validation, and automation.

  • Perform ETL, data pipeline, functional, integration, regression, and system testing.

  • Identify data discrepancies, perform root-cause analysis, and coordinate defect resolution.

  • Develop test plans, test cases, test data, QA documentation, and test reports.

  • Validate applications and data within AWS cloud environments .

  • Collaborate with developers, data engineers, business analysts, and stakeholders.

  • Lead defect triage, tracking, and resolution activities.

  • Support QA automation, data quality initiatives, and process improvements.

  • Provide technical guidance to QA team members as needed.

Requirements
  • Strong experience in Data Analysis and Quality Assurance .

  • Hands-on experience with AWS and cloud-based data environments.

  • Strong Python programming and scripting skills.

  • Advanced SQL and PL/SQL skills.

  • Experience with database, ETL, and data pipeline testing.

  • Strong understanding of QA methodologies, SDLC, and testing processes.

  • Experience developing test plans, test cases, and test scenarios.

  • Strong defect management, troubleshooting, and root-cause analysis skills.

  • Excellent analytical, communication, and stakeholder management skills.

Position Highlights
  • Fully remote opportunity.

  • Combination of data analysis and QA leadership responsibilities.

  • Work with AWS and cloud-based data environments.

  • Strong focus on SQL, PL/SQL, Python, and data validation.

  • Opportunity to support QA automation and data quality initiatives.

Vacancy posted 1 day ago
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