Data & Reporting QA Lead: Ensure Trusted Insights

RXinsider LTD.

Town of Florida (NY)

On-site

USD 94,000 - 141,000

Full time

14 days+
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Job summary

RXinsider LTD. is seeking a QA Lead of Data and Reporting to guide testers, oversee data quality, and ensure reliable reporting for clients. The role collaborates with data engineers, analysts, and developers to translate requirements into thorough test plans and scripts.

The ideal candidate has substantial SQL expertise, Snowflake experience, and a proven track record in data QA, including automated testing and data validation across pipelines.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • At least 5 years of QA/testing experience with 3+ years in lead role.
  • Strong SQL skills and data querying.
  • Experience with Snowflake data warehousing and data modeling.

Responsibilities

  • Lead and train QA team members; set goals and processes.
  • Develop and implement manual and automated testing strategies for data/reporting systems.
  • Collaborate with engineers, data scientists, and analysts on requirements.
  • Review data processes, test plans, and delivery plans for issues and risks.
  • Create and maintain test plans, cases, and scripts for data/testing systems.
  • Report testing status and quality metrics to stakeholders.
  • Perform functional, integration, regression, and performance testing on reports and data pipelines.

Skills

SQL
Snowflake
QA Testing
Data Pipelines
Test Automation
Excel

Education

Bachelor's degree in CS/IT or related field

Tools

qTest
JIRA

Job description

RXinsider LTD. is seeking a QA Lead of Data and Reporting to guide testers, oversee data quality, and ensure reliable reporting for clients. The role collaborates with data engineers, analysts, and developers to translate requirements into thorough test plans and scripts.

The ideal candidate has substantial SQL expertise, Snowflake experience, and a proven track record in data QA, including automated testing and data validation across pipelines.

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