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How exposed to AI is a Data Warehousing Specialist?

Of the 18 tasks O*NET lists for data warehousing specialists, 7 could be done in half the time with a chat window today. 0 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this

Also called
Data Warehouse AnalystData Warehouse Solution Architect
Reachable today Needs software built first Cannot be sped up
18
tasks rated for this occupation
83%
hold a degree, from a survey of 23
50k
people do this job in the US
1 of 36
least protected in computing and maths

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Reachable with a chat window today

7
  • Verify the structure, accuracy, or quality of warehouse data
  • Develop and implement data extraction procedures from other systems, such as administration, billing, or claims
  • Develop or maintain standards, such as organization, structure, or nomenclature, for the design of data warehouse elements, such as data architectures, models, tools, and databases
  • 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
  • Create plans, test files, and scripts for data warehouse testing, ranging from unit to integration testing
  • Prepare functional or technical documentation for data warehouses
  • Test software systems or applications for software enhancements or new products

Only with software built on top

11
  • Develop data warehouse process models, including sourcing, loading, transformation, and extraction
  • Map data between source systems, data warehouses, and data marts
  • Design and implement warehouse database structures
  • Provide or coordinate troubleshooting support for data warehouses
  • Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies
  • Perform system analysis, data analysis or programming, using a variety of computer languages and procedures
  • Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow
  • Create or implement metadata processes and frameworks
  • Review designs, codes, test plans, or documentation to ensure quality
  • Select methods, techniques, or criteria for data warehousing evaluative procedures
  • Implement business rules via stored procedures, middleware, or other technologies
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.

Sort your own tasks Read the full report

Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.