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Quality Assurance Data Analyst
Job Location:
Monthly Salary:
Experience Required:
Posted:
20 September 2026 (10 hours ago)
Posted:
Application Deadline:
18 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
This is a remote position.
Paradigm is seeking a Quality Assurance Data Analyst to support our client Epiq on its Class Action Data Services team. This is a hands-on data quality role for someone who enjoys digging into data understanding how it moves through complex systems and making sure the final output is accurate.
The ideal candidate combines strong SQL/T-SQL skills analytical thinking exceptional attention to detail and clear communication. You will use SQL and Excel to validate data imports updates extracts and transformations involving datasets that may contain hundreds thousands or millions of records. You will work closely with data engineers business analysts project teams and other QA professionals in a highly collaborative deadline-driven environment.
Type: Contract
Duration: 12-month*
Pay Rate: $33$38/hour
Benefits: Medical dental vision life 401(k) PTO and sick leave
Location: Remote approved U.S. locations
Job No.: Para1500
* Assignment lengths are estimated based on the expected workload and scope of work. The assignment may be extended or conclude earlier than anticipated based on business needs.
Approved Hiring Locations: Alabama Arizona Colorado Connecticut Delaware Florida Georgia Idaho Illinois Indiana Kansas Kentucky Louisiana Maryland Massachusetts Michigan Minnesota Missouri Nevada New Jersey New York North Carolina Ohio Oklahoma Oregon Pennsylvania South Carolina Tennessee Texas Utah Virginia Washington Washington DC and Wisconsin.
As a Quality Assurance Data Analyst you will:
- Validate the accuracy and completeness of data imports updates transformations and extracts involving datasets ranging from hundreds to millions of records.
- Review and understand the logic behind 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 that business and project requirements have been met.
- Develop and execute test cases covering normal conditions exceptions data anomalies and other relevant scenarios.
- Review requirements and specifications to identify gaps inconsistencies or potential data-quality issues.
- Work closely with data engineers business analysts project managers and QA team members to identify document troubleshoot and resolve defects.
- Verify corrections and problem resolutions accurately and efficiently.
- Assist business partners in translating functional requirements into appropriate testing scenarios and validation criteria.
- Perform dependable peer reviews to identify errors and ensure adherence to Data Services standards.
- Maintain clear documentation and appropriate work artifacts demonstrating that required validation and testing have been completed.
- Provide timely and accurate status updates to leadership Workforce project managers and other stakeholders.
Requirements
Our ideal candidate will have:
- 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 the 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.
SQL/T-SQL Knowledge
Candidates should be comfortable working with and discussing SQL/T-SQL concepts such as:
- NULL handling
- Subqueries including IN EXISTS inline views and correlated subqueries
- Primary keys foreign keys constraints and defaults
- Transactions and error handling
- BCP and BULK INSERT
- Indexing
- Stored procedures and user-defined functions
- Triggers
- Views and temporary tables
- Common table expressions (CTEs)
- Querying creating validating and updating data
This position does not require a SQL developer but candidates must have sufficient hands-on SQL experience to understand database logic analyze data and write queries used to validate complex data processes.
Benefits
Paradigm offers medical dental vision life 401K PTO and sick days.
About Us Paradigm
Paradigm Information Services is an established staffing company that has been connecting talented people with great opportunities for more than 25 years. We work with clients across a variety of industries and positions giving our recruiting team the opportunity to work on interesting and sometimes challenging searches.
Paradigm Information Services does not discriminate on the basis of race sex color religion age national origin marital status disability veteran status genetic information sexual orientation gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
Required Skills:
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 the 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.
Required Education:
Four-year college degree or equivalent relevant professional experience.
