Data Quality Analyst-Remote

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization Data Quality Analyst with Collibra:

• 6+ years of IT experience, with a minimum of 5+ of experience building ETL solutions in the Business Intelligence domain, with special focus on implementing Data Quality Strategies.
• Experience in Requirements gathering, Data Quality Assessment, Data Quality Dimensions, Data Quality Measures and Metrics, Data Quality use cases, Data Quality Stewardship, Data Quality Monitoring, Data Quality Problem Management and Data Modelling
• Experience in the Collibra for Data Governance and Data Quality
• Good knowledge on auto-discovery, standardization, auto-profiling, smart suggestions, and data visualization, cleaning and enrichment functions
• Designing and Implementing Data Ingestion and Integration Frameworks, Data Quality Frameworks, identifying patterns, create reusable code libraries, Developing use cases, Data Modelling
• Hands on experience in designing data pipelines for cloud migration (Aws preferred)

overall.

Responsibilities

[Be specific when describing each of the responsibilities. Use gender-neutral, inclusive language.]

Example: Determine and develop user requirements for systems in production, to ensure maximum usability

Qualifications

[Some qualifications you may want to include are Skills, Education, Experience, or Certifications.]

Example: Excellent verbal and written communication skills