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QA Analyst

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Sharp Decisions
Full Time position
Listed on 2026-09-22
Job specializations:
  • IT/Tech
    IT QA Tester / Automation, Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Location: Charlotte, NC 28202 / Jersey City, NJ
- Hybrid

Type: Long Term Contract

No Third Party candidate allowed

Industry Preferred: Banking/Financial

Years of

Experience:

5+ Years

Responsibilities

Title:

QA Analyst

Location: Charlotte, NC 28202 / Jersey City, NJ
- Hybrid

Type: Long Term Contract

Must Have:
Python, SQL, Microsoft Stack (Azure)

No Third Party candidate allowed

Industry Preferred: Banking/Financial

Years of

Experience:

5+ Years

  • Develop and execute test plans, test cases, and test scripts based on business and technical requirements.
  • Perform manual and automated testing across functional, regression, integration, and user acceptance phases.
  • Document defects clearly and collaborate with developers to resolve issues.
  • Ensure traceability of requirements and maintain test documentation. Participate in Agile Scrum calls with the CyberDW team and provide feedback on system usability and stability. Contribute to continuous improvement of QA processes and tools.
  • Identify, evaluate, and manage the documentation and deliverables required for each project testing and automation.
Skills
  • 7-10 years of experience in software testing, quality assurance, or business systems analysis. Financial services and banking background preferred.
  • Must have comprehensive knowledge of and experience in the use of test management tools, i.e., JIRA. Additional experience in use of Confluence would be advantageous.
  • Familiarity with SDLC and Agile or Scrum frameworks. Strong attention to detail, analytical skills, and problem-solving abilities. Good communication and documentation skills.
  • Must be able to scrub and analyze data. Strong experience writing SQL queries, familiarity with joins, CTEs, looking for data outliers, etc.
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