Data Analyst/Data Quality Engineer

Job Title -

Data Analyst/Data Quality Engineer

You will work at the intersection of data engineering,
quality assurance, and business analysis—translating technical data flows into
business value while ensuring accuracy, completeness, and reliability across
our data ecosystem.

Key Responsibilities

• Validate ingested data
  against business rules, technical specifications, and quality standards
  
• Conduct data profiling
  and analysis to identify quality issues, anomalies, and improvement
  opportunities
  
• Perform data
  reconciliation activities to ensure accuracy and completeness across
  systems
  
• Validate data
  transformations and dimensional modeling implementations
  

• Design and implement
  automated testing frameworks for data pipelines and ingestion processes
  
• Develop comprehensive
  test strategies covering functional, performance, and regression scenarios
  
• Build reusable
  validation utilities and quality check libraries
  
• Ensure testing
  frameworks align with CI/CD practices and engineering standards
  

• Monitor data pipeline
  health and proactively identify quality degradation or failures
  
• Investigate and resolve
  data quality incidents including root cause analysis
  
• Establish alerting and
  notification mechanisms for quality issues
  
• Document issues,
  patterns, and resolutions for continuous improvement
  

• Track and report on data
  quality metrics, SLAs, and key performance indicators
  
• Analyze downstream
  impact of data quality issues on business operations
  
• Generate quality reports
  and feedback mechanisms for rejected or problematic data
  
• Collaborate with
  technical and business teams to define and refine quality requirements