8+ years in data analysis, data operations, or metadata validation roles.
Advanced skills in Power BI, including report building and DAX expressions.
Strong SQL capabilities for query writing and data validation.
Proficient in Excel and Python (pandas) for data analysis.
Familiar with ETL tools like Informatica, AWS Glue, and Azure Data Factory.
Experience with metadata and lineage tools such as Collibra or Alation.
Responsibilities
Analyze metadata and lineage results to identify data-flow gaps and anomalies.
Perform data reconciliation between source and target systems for accuracy.
Create and maintain Power BI dashboards visualizing lineage coverage and ETL health.
Document lineage findings and recommend remediation for data-quality issues.
Collaborate with Data Engineers and the AI Strategist on lineage and modernization insights.
Ensure deployment readiness by verifying ingestion logic against production datasets.
Benefits
Flexible work schedule and options for remote work.
Opportunities for professional development and training.
Collaborative work environment with cross-functional teams.
Access to advanced tools and technologies in data analytics and engineering.
Full Job Description
Support the Data Engineering and AI Strategy teams by validating metadata ingestion outputs, analyzing lineage completeness, and creating Power BI reports that summarize lineage coverage and modernization insights for business and technical stakeholders. Key Responsibilities:
Analyze metadata and lineage results to detect data-flow gaps, unused or orphan tables, and anomalies.
Perform data reconciliation between source and target systems to validate completeness and accuracy of ingestion.
Create and maintain Power BI dashboards and reports that visualize lineage coverage, ETL health, and modernization metrics.
Document lineage findings, data-quality issues, and remediation recommendations.
Collaborate with Data Engineers to enhance lineage logic and with the AI Strategist on modernization insights.
Verify deployment readiness by ensuring that ingestion logic aligns with production datasets and metadata standards.
Required Skills:
8+ years in data analysis, data operations, or metadata validation roles with proven experience in Power BI and SQL-based lineage/QA work.
Power BI - advanced report building, DAX expressions, and data-model creation.
