Intermediate Quality Data Analyst
Core
Profile, validate, monitor, and improve data quality across the organization to support customer insights and business decision-making.
Role type
Intermediate Quality Data Analyst
Builds
Data quality controls, solution designs, governance practices, and data models
Domain
Financial services / Data Management
Deliverable
dashboards & analysis
Required skills
SQL, Power BI, Python, R, Alteryx, Advanced Excel, Data Profiling, Data Validation, Root Cause Analysis, Data Modeling, Metadata Management
Preferred skills
Experience with large datasets, Enterprise systems, Data Governance frameworks
Technologies
SQL, Power BI, Python, R, Alteryx, Advanced Excel
Responsibilities
Extract, transform, validate, and analyze data from various sources; Define and maintain data quality rules and controls; Design logical and physical data models; Produce data quality reports and scorecards; Conduct data quality audits and root cause analysis; Collaborate with business and technical teams on data governance.
Seniority
Intermediate, hands-on IC
