Quality Assurance (QA) Analyst Data & Automation_Only-W2/NO-C2C

Overview

Hybrid
$50 - $60
Contract - W2
Contract - 12 Month(s)

Skills

Agile
Extract
Transform
Load
Microsoft Power BI
Analytical Skill
Attention To Detail
Collaboration
Communication
Conflict Resolution
Confluence
Continuous Improvement
Dashboard
Data Analysis
Data Governance
Data Quality
Data Validation
Data Visualization
JIRA
SQL
Scripting
Reporting
Tableau
Python
Shell

Job Details

Job Title: Quality Assurance (QA) Analyst Data & Automation
Location: Charlotte, NC | Dallas, TX | Chandler, AZ
Job Type: Full-Time | Hybrid


About the Role:
Our client is seeking a highly skilled and detail-oriented Quality Assurance (QA) Analyst to join our growing team. This technical role is focused on ensuring the integrity and accuracy of data across visualization dashboards, ETL processes, and automation solutions.


Key Responsibilities:
Perform comprehensive data quality assurance testing on dashboards and reporting tools.
Validate ETL (Extract, Transform, Load) processes to ensure data consistency and accuracy.
Collaborate with data engineers, developers, and business analysts to identify and resolve data quality issues.
Develop and execute test plans, test cases, and test scripts for automation and data validation.
Support the implementation of automation solutions to streamline QA processes.
Document QA findings and provide actionable feedback to development teams.
Participate in Agile development cycles and contribute to continuous improvement initiatives.


Required Qualifications:
3+ years of experience in data quality assurance, data validation, or a related technical QA role.
Strong understanding of ETL processes and data pipelines.
Experience with data visualization tools (e.g., Tableau, Power BI).
Proficiency in SQL for data analysis and validation.
Familiarity with automation frameworks and scripting languages (e.g., Python, Shell).
Excellent analytical, problem-solving, and communication skills.


Preferred Qualifications:
Experience working in financial services or regulated environments.
Knowledge of data governance and compliance standards.
Familiarity with Agile methodologies and tools (e.g., Jira, Confluence).

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