Collaborate with report developers and data owners to understand data flows, business rules, and report logic.
Design and implement test cases to validate data transformations, calculations, and visualizations within Power BI dashboards and underlying data models.
Monitor data refresh processes, identify anomalies, and work with technical teams to resolve issues proactively.
Develop and maintain a framework for automated and manual data validation, audit tracking, and regression testing.
Perform root cause analysis of data quality issues and work with data engineering or source system teams to address them.
Ensure alignment with data governance standards, metadata definitions, and enterprise data quality metrics.
Document test results, issues, resolution steps, and quality improvement opportunities in a structured, repeatable way.
Help drive a quality-first approach across the reporting and analytics lifecycle, in sync with reusable processes and tools.
Support continuous improvement by recommending ways to automate validation workflows or integrate testing into CI/CD pipelines.

Education:

Bachelor s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field. Equivalent experience accepted.

Experience, Skills & Abilities:

demonstrated ability in data validation, quality assurance, or testing within a business intelligence, analytics, or reporting environment.
Experience with Power BI, including familiarity with DAX, Power Query (M), and visual design principles.
Strong SQL skills and the ability to independently investigate data across multiple sources.
Experience in writing test plans, documenting test cases, and performing functional or regression testing.
Knowledge of data warehousing concepts, ETL workflows, and data lineage tracking.
Familiarity with testing frameworks or scripting tools (e.g., Excel macros, Power Automate, Python, or similar).
Diligent with strong organizational skills and the ability to manage multiple assignments simultaneously.
Effective verbal and written communication skills, especially in documenting findings and collaborating multi-functionally.
Self-starter with a growth mindset and eagerness to improve data accuracy and customer trust in reporting outputs.

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