Ascension is seeking a detail-oriented Data Analyst specializing in Data Validation, Quality Assurance, and Reporting Support to play a critical role in ensuring the integrity, accuracy, and usability of enterprise data supporting a Business Intelligence (BI) transformation initiative.

This role is essential to the success of the ABMC mission, where data must be trusted to support real-time decision-making across globally dispersed operations. The ideal candidate will bring strong analytical discipline, a quality-first mindset, and experience validating complex datasets across multiple sources and formats.

You will support the development of a centralized BI capability that integrates fragmented data sources into a unified, actionable system that enhances operational visibility and resource management across 26 cemeteries and 31 monuments worldwide .

This role is ideal for professionals who thrive in structured yet evolving environments and are motivated by solving data quality challenges that directly impact mission performance.

Position Summary

The Data Analyst (QA/Validation) will support data validation, testing, performance metrics development, and reporting activities aligned with enterprise BI implementation efforts.

Given the Agency’s current environment of disparate, non-integrated data sources , this role is critical in ensuring that data being transformed and integrated into dashboards is accurate, consistent, and reliable.

The ideal candidate will:

• Be highly detail-oriented and methodical
• Possess strong problem-solving and data reconciliation skills
• Be comfortable working with ambiguous or incomplete data sets
• Be proactive in identifying inconsistencies and recommending improvements

You will work closely with BI developers, data engineers, and stakeholders to validate datasets, support testing cycles, and ensure reporting outputs meet defined requirements and quality standards.

Day-to-Day Activities

• Perform data validation and quality assurance checks across multiple datasets and systems
• Analyze data discrepancies and identify root causes of inconsistencies
• Support data cleansing, transformation validation, and normalization efforts
• Validate outputs from BI dashboards and reporting tools (e.g., Power BI)
• Conduct testing support for dashboards, data pipelines, and integrations
• Develop and execute test cases, validation scripts, and QA procedures
• Assist in defining and validating performance metrics and KPIs
• Collaborate with stakeholders to ensure data aligns with business rules and reporting needs
• Support User Acceptance Testing (UAT) activities and document results
• Maintain data quality documentation, validation logs, and audit trails
• Generate reports and summaries on data quality issues and trends
• Assist in preparing data for visualization and executive reporting
• Recommend improvements to data governance and validation processes