Quality Assurance Data Analyst

Paradigm Information Services, Inc.

. Validate the accuracy and completeness of data imports, updates, transformations, and extracts involving datasets from hundreds to millions of records .

Posted 9/19/2026contractRemote • United StatesJuniorMid-Level💰 $33 - $38 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL query writing and execution, data validation, and database testing, with a strong focus on data integrity and quality assurance. Proficient in collaborating with cross-functional teams to translate requirements into effective testing scenarios and maintain comprehensive documentation.

Highest-signal resume keywords

SQL Query WritingData ValidationDatabase TestingT-SQL ProficiencyData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLT-SQLData ValidationDatabase TestingData AnalysisData ModelingETL ConceptsComplex SQL LogicStored ProceduresFunctions

Soft Skills

Analytical SkillsAttention to DetailDeductive ReasoningCollaborationProblem Solving

Tools & Technologies

SQL ServerMicrosoft ExcelData Services StandardsData Organization Concepts

Industry Keywords

Relational DatabasesData QualityData IntegrityTesting ScenariosBusiness Requirements

Tech Stack

Tools & technologies

ETLSQL

About the role

Key responsibilities & impact

Validate the accuracy and completeness of data imports, updates, transformations, and extracts involving datasets from hundreds to millions of records
Review and understand complex SQL queries, stored procedures, triggers, functions, and other database processes
Write and execute SQL test queries to verify data integrity, business logic, and expected results
Analyze data using SQL Server, Excel, and related tools to confirm business and project requirements
Develop and execute test cases covering normal conditions, exceptions, data anomalies, and other scenarios
Review requirements and specifications to identify gaps, inconsistencies, and data-quality issues
Collaborate with data engineers, business analysts, project managers, and QA team members to identify, document, troubleshoot, and resolve defects
Verify corrections and problem resolutions
Assist business partners in translating functional requirements into testing scenarios and validation criteria
Perform peer reviews to identify errors and ensure adherence to Data Services standards
Maintain documentation and work artifacts demonstrating completed validation and testing
Provide status updates to leadership, Workforce, project managers, and stakeholders

Requirements

What you’ll need

Four-year college degree or equivalent relevant professional experience
2+ years of strong database testing or data-validation experience, including writing and executing complex SQL queries
1+ years of hands-on experience with T-SQL, ANSI-89, and/or ANSI-92 SQL
Strong working knowledge of relational databases and ability to understand moderately to highly complex SQL logic
Experience reviewing and understanding stored procedures, functions, triggers, and database logic
Experience in a Data Analyst, Business Analyst, QA/Data Testing, Process Specialist, or similar analytical role
Strong analytical skills and deductive reasoning, with exceptional attention to detail
Working knowledge of data modeling and data organization concepts
Familiarity with extract, transform, and load (ETL) concepts, tools, and processes
Proficiency with Microsoft Office, particularly Excel
Comfort with NULL handling, subqueries, primary keys, foreign keys, constraints, defaults, transactions, error handling, BCP, BULK INSERT, indexing, stored procedures, user-defined functions, triggers, views, temporary tables, CTEs, and querying, creating, validating, and updating data
Sufficient hands-on SQL experience to understand database logic, analyze data, and write queries used to validate complex data processes

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
401(k)
PTO
Sick leave/sick days