Quality Assurance Data Analyst

Job not on LinkedIn

🕒 September 19

🏈 Alabama, Arizona, +29 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $33 - $38 / hour

⏳ Contract/Temporary

🟢 Junior

🟡 Mid-level

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 26%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Paradigm Information Services, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1993

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Paradigm Information Services, Inc. is an established, certified women-owned staffing firm that specializes in providing staffing solutions for companies in the tech sector. The company identifies and places top talent including content developers, creative designers, engineers, project managers, marketers, and support staff in various technical industries such as microelectronics, legal services, medical devices, information technology, and hardware and software services. Paradigm prides itself on building lasting relationships with both clients and consultants, ensuring ongoing satisfaction and successful placements. Their commitment extends to promoting diversity, equity, and inclusion in the tech community through partnerships and community events.

📋 Description

• 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

• 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

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

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