Paradigm is seeking an experienced Quality Assurance
Data Analyst to support complex data processing, validation, and quality
assurance initiatives for a leading provider of technology-enabled legal and
business services.
In this role, you will help ensure the accuracy,
completeness, and integrity of large datasets used in business-critical
applications. You will work closely with data engineers, business analysts,
project managers, and QA professionals to validate data imports,
transformations, extracts, and database processes.
The ideal candidate combines strong analytical and
problem-solving skills with advanced SQL expertise and hands-on experience in
database testing. This position is particularly well suited to someone who
enjoys investigating complex data issues, developing effective testing
strategies, and ensuring that data meets rigorous quality standards.
Type: Contract
Duration: 12-month*
Pay Rate: $33.00-$38.00/hour
Benefits: Medical, dental, vision, life, 401(k), PTO, and sick leave
Location: Remote – Oregon, Idaho or Nevada only
Job No.: Para_1509
* 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.
Data
Validation and Quality Assurance
- Validate the accuracy and integrity
of data imports, updates, transformations, and extracts involving datasets
ranging from hundreds to millions of records.
- Develop, execute, and maintain
SQL-based test queries to verify data accuracy, completeness, and
consistency.
- Analyze complex SQL queries, stored
procedures, triggers, and functions to confirm that database operations
meet business and technical requirements.
- Identify data discrepancies,
investigate root causes, document defects, and verify corrective actions.
- Test both standard and exceptional
data scenarios, including edge cases and anomalies.
Test Planning
and Requirements Analysis
- Review business and technical
requirements to identify gaps, inconsistencies, and potential data quality
risks.
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