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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.
* 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
Test Planning
and Requirements Analysis
Collaboration
and Project Support
· Bachelor's degree in Computer Science,
Information Systems, Business Analytics, or a related field, or equivalent
professional experience.
· Minimum 2 years of hands-on database testing
experience, including developing and executing complex SQL queries and
validating database processes.
· Experience with Microsoft SQL Server and strong
proficiency in T-SQL.
· Experience analyzing and testing stored
procedures, functions, triggers, and complex database queries.
· Understanding of relational databases, data
modeling, and database structures.
· Working knowledge of ETL concepts, processes,
and data validation techniques.
· Proficiency with Microsoft Excel for data
analysis, reconciliation, and reporting.
· Experience interpreting business requirements
and translating them into test cases.
· Strong analytical, troubleshooting, and
deductive reasoning skills.
· Excellent written and verbal communication
skills.
· Ability to work independently, collaborate
across teams, and manage multiple assignments with changing priorities.
· Experience validating large-scale data
migrations, imports, or conversions.
· Background in data-intensive business
applications or environments involving high-volume transactional records.
· Prior experience as a QA Data Analyst, Database
QA Analyst, SQL Data Analyst, or similar technical role.
Candidates should demonstrate advanced knowledge of T-SQL,
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Paradigm Information Services

Paradigm Information Services

Paradigm Information Services