Perform data quality validation and testing for reporting, dashboards and datasets to ensure accuracy, completeness and reliability.
Validate data consistency between systems, ensuring no duplication, misalignment or data integrity issues
Monitor and troubleshoot data refreshes, identifying, investigating, and resolving data anomalies, inconsistencies, or errors.
Support light dashboarding and ad hoc data pulls in Power BI and SQL to assist validation efforts and stakeholder inquiries
Leverage Power BI and Power Query to analyze data models, understand data relationships and validate backend logic
Use Power Automate to support workflow automation related to data validation, monitoring and alerts
Collaborate with business units, finance, audit, and IT to understand data needs and provide actionable insights.
Clean, transform, and prepare large data sets to support business analysis, decision-making, and reporting requirements.
Document data sources, data flows, and analytical methodologies to ensure transparency and repeatability.
Present analysis findings and recommendations to stakeholders in clear, understandable terms.
Stay current with industry best practices and emerging technologies relevant to data analysis and business intelligence.

College Degree or equivalent required
1 year related experience
Proficient use of applicable technology
Ability to follow technical instructions and guidelines
Ability to document daily activities and system functions
Able to work in team environment
Demonstrated ability to communicate verbally and in writing throughout all levels of organization both internally and externally
Ability to travel as required by business and on-call availability
Able to lift up to 50 lbs

Data Quality Engineer

Key skills