medium risk
Database Administratorsvs
57 shared · 10 different
core competencies
medium risk
Data Warehousing SpecialistsSide-by-Side Comparison
Database Administrators leads 4–0| Metric | Database Administrators | Data Warehousing Specialists |
|---|---|---|
| Risk Score | 34.6% | 40.5% |
| Risk Tier | Medium Risk | Medium Risk |
| Risk Percentile | 65th | 82th |
| Tasks at Risk (>50%) | 7 / 15 | 8 / 15 |
| Median Salary | N/A | N/A |
| Employment | N/A | N/A |
Skill Comparison
|
Sorted by largest difference
Telecommunications
Interpreting the Meaning of Information for Others
Documenting/Recording Information
Provide Consultation and Advice to Others
Analyzing Data or Information
MonitoringAI-Augmented
Monitor Processes, Materials, or Surroundings
Developing and Building Teams
Problem Sensitivity
Operation Monitoring
Protective Factors
Higher values indicate stronger protection against AI displacement
Database Administrators
29%
total discount
Data Warehousing Specialists
27%
total discount
Task Risk Comparison
Tasks sorted by AI automation risk — higher means more automatable
Database Administrators
7 of 15 at risk72%Specify users and user access levels for each segment of database.
68%Review procedures in database management system manuals for making changes to database.
67%Revise company definition of data as defined in data dictionary.
66%Select and enter codes to monitor database performance and to create production database.
54%Develop methods for integrating different products so they work properly together such as customizing commercial databases to fit specific needs.
Data Warehousing Specialists
8 of 15 at risk87%Verify the structure, accuracy, or quality of warehouse data.
86%Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing.
71%Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
55%Review designs, codes, test plans, or documentation to ensure quality.
54%Design, implement, or operate comprehensive data warehouse systems to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements.
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