Technology occupation
Will AI replace Data Analyst?
See how this occupation’s day-to-day work compares with other jobs in exposure to AI and automation, why it received this result, and where human skills remain essential.
Data Analyst
Business Intelligence Analysts · Technology
Higher AI & automation exposure than 96% of jobs we compare.
Exposure index: 96 / 100
This compares the type of work in this job with the work in hundreds of other jobs.
This is a comparison between jobs — not a 96% chance of job loss.
Why did this job get this result?
- Querying databases, building reporting dashboards, and analyzing performance metrics require continuous computer interaction.
- Data warehousing, data integration pipelines, and recurring management reports follow predictable, structured technical processes.
- Work is conducted in corporate office environments without physical manipulation or robotic factors.
- Analysts must interpret data anomalies, uncover operational inefficiencies, and recommend performance improvements.
- Working with business unit leaders to define meaningful key performance indicators (KPIs) requires strong consultative communication.
How technology may change this work
Technology and human strengths
What AI & automation may affect
- Automated dashboard software and natural-language query tools can generate standard reports and charts on demand.
- Anomaly-detection algorithms can automatically surface unusual revenue shifts, operational dips, and customer churn trends.
Human strengths in this job
- Partnering with department leaders to understand underlying business operations behind raw metric trends
- Determining which strategic questions require new analytical frameworks rather than standard dashboard views
- Identifying data governance weaknesses, tracking discrepancies, and ensuring reporting integrity across departments
- Communicating the 'why' behind performance shifts to guide executive decision-making and operational change
How this result breaks down
These are model components, not percentages of the job or of how necessary people are.
How much the job involves information, data, writing, analysis or other digital work that AI and software may help with.
How much of the work follows regular, predictable or repeated steps.
How much of the physical work may be suitable for machines or robotics.
How much the job depends on judgment, creativity, communication and adapting to real situations.
How is the index calculated?
The Exposure Index is a percentile comparing this job's digital, routine, and physical tasks against all 897 occupations in the Model 2.1 dataset. A score of 96 means higher modeled exposure than approximately 96% of comparable jobs.
Your work may differ
How does your work compare?
Two people with the same job title can do very different work. Answer seven quick questions to see how your specific day-to-day tasks compare.
What people in this job commonly do
- Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.
- Maintain or update business intelligence tools, databases, dashboards, systems, or methods.
- Manage timely flow of business intelligence information to users.
- Provide technical support for existing reports, dashboards, or other tools.
- Identify and analyze industry or geographic trends with business strategy implications.
- Document specifications for business intelligence or information technology reports, dashboards, or other outputs.
How we compare jobs
We look at what people do in hundreds of occupations — including digital work, repeatable activities, physical automation and human skills — then compare the job with other occupations.
What this tool cannot predict
It cannot predict individual job loss, exact technology adoption timing or decisions by an individual employer.
Occupation and data details
O*NET-SOC: 15-2051.01
Career category: Technology
Typical education: Bachelor's degree
Data source: O*NET, U.S. Department of Labor.
This product includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. Toolsyte has modified and scored some information; USDOL/ETA has not approved, endorsed, or tested these modifications. O*NET® is a trademark of USDOL/ETA.