Student Data QA Analyst

Price Industries Limited•Winnipeg, MB

1d•Onsite

About The Position

Price Industries Limited, a leading manufacturer and distributor of air distribution products, is seeking a Student Data QA Analyst for their growing Winnipeg manufacturing facility. This role is ideal for someone who thrives on new challenges and enjoys working in a friendly, team-driven environment. The company is committed to personal and professional development, community involvement, and offers a convenient on-site café with free tea and coffee.

Requirements

Currently enrolled in (final year or term) or recently graduated from a Computer Science, Information Technology, Data Analytics, or equivalent technical program.
Knowledge of SQL for data validation and profiling, with a foundational understanding of data modeling and reporting concepts.
Some exposure to BI tools such as Power BI or similar through coursework, personal projects, or prior work experience.
Familiarity with data quality concepts such as completeness, accuracy, consistency, and lineage.
Strong analytical and organizational skills, with clear written and verbal communication abilities.

Nice To Haves

Exposure to Azure data services such as Microsoft Fabric, Synapse Analytics, or Purview.
Experience with testing methodologies or QA tools in a data or software context.
Self-motivated, detail-oriented, and able to manage multiple tasks with a high degree of accuracy in a fast-paced environment.
Strong interpersonal skills and a collaborative mindset, with the ability to work effectively within a team.

Responsibilities

Review and validate data outputs across reports, dashboards, datasets, and data pipelines to ensure accuracy and alignment with business requirements.
Execute test cases for data migration tasks, ELT/ETL processes, and analytics deliverables, documenting results and flagging discrepancies.
Collaborate with data engineering and analytics teams to support root cause analysis and resolution of data quality issues.
Assist in developing and maintaining QA frameworks, checklists, and testing standards for data and analytics deliverables.
Support data profiling and validation activities to identify anomalies, duplicates, and inconsistencies across data sources.
Explore other areas of interest such as Data Governance, Data Security, or Master Data Management.
Maintain clear and organized documentation of test plans, validation results, and quality standards.
Perform other data quality-related duties as required.