Data QA Analyst - US at mSupply

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Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Validation, dbt, Data Profiling, ETL Testing, CI/CD, Data Quality Assurance, Anomaly Detection, Source-to-Target Reconciliation, Microsoft Fabric, Azure Data Services, MDM Validation, UAT, Data Governance, Python, Data Analytics

Industry

Manufacturing

Description

About mSupply TM mSupply is North America’s leading distributor of OEM repair parts and equipment, serving professionals in the appliance, HVAC, plumbing, commercial kitchen, and pool/spa industries. Headquartered in St. Louis, MO, mSupply is a multi-billion-dollar enterprise offering an extensive product range, industry expertise, and seamless service. With more than 2,000 associates across the U.S. and Canada, mSupply’s family of brands delivers with speed, reliability, and precision through its branches, distribution centers, and extensive fleet of delivery vehicles. Shipped orders reach 93% of U.S. customers via next-day ground delivery and 100% within two days. For more information, visit mSupply.com [http://www.msupply.com/]. Job Summary The Data QA Analyst ensures the accuracy, completeness, and reliability of data flowing through mSupply’s enterprise data platform. Working across all layers of the medallion architecture (Bronze, Silver, Gold), this role designs and executes testing strategies that validate pipeline outputs, catch regressions before they reach downstream users, and build confidence in the data that powers BI, data science, and operational decisions. Job Duties & Responsibilities * Design and execute data validation test plans for new and modified pipelines, ensuring accuracy, completeness, and consistency across Bronze, Silver, and Gold layers. * Develop and maintain dbt tests, custom data quality checks, and automated validation scripts that run as part of the CI/CD pipeline. * Perform data profiling and exploratory analysis on source systems and transformed datasets to identify anomalies, schema drift, null patterns, and referential integrity issues. * Validate data transformations by reconciling source-to-target record counts, business logic outputs, and aggregation results against expected outcomes. * Monitor data quality dashboards and alerting systems, triaging failures and coordinating resolution with Data Engineers and source system owners. * Support UAT for new data products, reports, and analytics deliverables by preparing test cases, validating outputs, and documenting results. * Maintain a data quality issue log and produce regular quality reports that track trends, recurring defects, and resolution timelines. * Support MDM data quality by validating match/merge results, deduplication accuracy, and golden record completeness. Qualifications Required * Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent practical experience. * 3+ years of experience in data quality, data testing, QA, or analytics roles with hands-on experience validating data pipelines or ETL processes. * Strong proficiency in SQL for querying, validating, and reconciling large datasets across multiple systems. * Experience with data profiling, anomaly detection, and source-to-target reconciliation techniques. * Familiarity with data testing frameworks or tools (dbt tests, Great Expectations, or similar). * Strong attention to detail and the ability to communicate data quality findings clearly to technical and non-technical audiences. Preferred * Experience with dbt and modern analytics engineering workflows. * Familiarity with Microsoft Fabric, Azure data services, or cloud-based data platforms. * Experience with data governance, data cataloging, or metadata management practices. * Background in wholesale distribution, supply chain, or related B2B industries. * Experience supporting MDM implementations, including match/merge validation and golden record testing. * Experience or demonstrated ability using AI-powered tools (e.g., code assistants, LLMs, AI-augmented workflows) to accelerate work and improve outcomes. Physical Demands & Work Environment This is a full-time position. Duties are primarily performed in an office or remote work environment. * Primarily sedentary work with extended periods at a computer * Ability to communicate effectively in person, by phone, and through virtual collaboration tools * Occasional standing, walking, and movement during meetings or travel * Ability to travel periodically for business needs, including visits to distribution centers, suppliers, or industry events * Office environment with standard business equipment such as computers, phones, and conferencing tools What We Offer: We prioritize your well-being from day one with a comprehensive benefits package that includes: * Medical, dental, vision, and prescription coverage effective immediately * 401(k) plan with company contributions * Life insurance and short-term disability coverage * HSA/FSA options and an Employee Assistance Program (EAP) * Paid time off, including vacation, holidays, and personal days * Weekly pay, employee discounts, and more Equal Employment Opportunity & Pre-Employment Requirements mSupply is an Equal Opportunity Employer. We make employment decisions without regard to sex, age, race, color, creed, religion, national origin, citizenship or immigration status, sexual orientation, gender identity or expression, disability, genetic information, marital status, veteran or military status, or any other status protected by applicable federal, state, or local law. We are committed to providing reasonable accommodations for qualified individuals with disabilities and to applicants with sincerely held religious beliefs. To request a reasonable accommodation, please contact careers@msupply.com. Final offers of employment may be contingent upon completion of job-related pre-employment checks and screenings permitted by law. For roles that require operation of a company vehicle, a Motor Vehicle Record (MVR) check may also be conducted. This employer participates in E-Verify to confirm employment eligibility in the United States. #mSupply

Responsibilities

The Data QA Analyst ensures the accuracy and reliability of data across the medallion architecture (Bronze, Silver, Gold) of the enterprise data platform. This includes designing test plans, developing automated validation scripts, and monitoring data quality dashboards to support BI and operational decisions.