Business Intelligence Analysts

High Risk
67%
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Vote Comments (11)
Or, Explore This Profession in Greater Detail...
AUTOMATION RISK
CALCULATED
74%
(High Risk)
POLLING
60%
(High Risk)
Average: 67%
LABOR DEMAND *
GROWTH
36.0%
by year 2033
WAGES
$108,020
or $51.93 per hour
Volume
192,710
as of 2023

Employment data isn't available specifically for this occupation from the Bureau of Labor Statistics, so we are using the data from Data Scientists.

SUMMARY
JOB SCORE
5.9/10

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Calculated automation risk

74% (High Risk)

High Risk (61-80%): Jobs in this category face a significant threat from automation, as many of their tasks can be easily automated using current or near-future technologies.

More information on what this score is, and how it is calculated is available here.

Some quite important qualities of the job are difficult to automate:

  • Originality

  • Persuasion

User poll

60% chance of full automation within the next two decades

Our visitors have voted that it's probable this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 74% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Business Intelligence Analysts will be replaced by robots or artificial intelligence within the next 20 years?






Sentiment

The following graph is included wherever there is a substantial amount of votes to render meaningful data. These visual representations display user poll results over time, providing a significant indication of sentiment trends.

Sentiment over time (yearly)

Growth

Very fast growth relative to other professions

The number of 'Data Scientists' job openings is expected to rise 36.0% by 2033

* Data from the Bureau of Labor Statistics for the period between 2021 and 2031
Updated projections are due 09-2024.

Wages

Very high paid relative to other professions

In 2023, the median annual wage for 'Data Scientists' was $108,020, or $51 per hour

'Data Scientists' were paid 124.8% higher than the national median wage, which stood at $48,060

* Data from the Bureau of Labor Statistics

Volume

Greater range of job opportunities compared to other professions

As of 2023 there were 192,710 people employed as 'Data Scientists' within the United States.

This represents around 0.13% of the employed workforce across the country

Put another way, around 1 in 787 people are employed as 'Data Scientists'.

Job description

Produce financial and market intelligence by querying data repositories and generating periodic reports. Devise methods for identifying data patterns and trends in available information sources.

SOC Code: 15-2051.01

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Comments

Daniel (Highly likely) 20 days ago
It's free, Less margin for error, and is already been taking peoples jobs for years now. This isn't "new", AI has been taking these jobs for a while now.
0 0 Reply
Paul (Moderate) 1 month ago
There's so much diversity in this role that it depends massively. In some roles you have a robust data model to work with and clear instructions from stakeholders on what do with it, so you spend your time building and maintaining dashboards. Those roles would be very easily automated, but they're quite rare in my experience.

The bulk of my time as a BI analyst is spent on 2 things. The first is working with domain stakeholders without technical knowledge (marketers in my case). This can often be like herding cats. Lots of people will have lots of different opinions on what KPIs they want to track or how to track them. And often they don't really understand the data limitations of what we can and can't report on, so I need to be there to provide guidance. Much of my job is spent guiding these people along, often massaging their egos along the way, so that the wider group of people arrives at a consensus.

The second is ETL. Even with whole teams of data engineers and operations managers, data is very rarely centralised into a single and easy to understand model. I work with about half a dozen different types of data sources (from AWS to Google Sheets). Each of these have hundreds of different indexes and many of those indexes have hundreds of fields. A tiny fraction of these fields have any kind of documentation and so all you have to go on is the metadata and the name of the db managers who put it together. Actually tracking down the data you need requires getting really into the weeds and following up with multiple people to try to track down who actually knows where to find the data you're looking for. That's just nowhere near enough data for an AI to get a hold of the data it needs.
0 0 Reply
Ayush Vaishnav (Uncertain) 3 months ago
This is uncertain because a mindset, an observation that a person can have, may be impossible for AI to take over.

It is a field where people usually believe in other people rather than AI.
0 0 Reply
JR (Low) 11 months ago
Employers may want to replace current data workers but this may never come to be if the current offerings are anything to go by, AI tools in the analysis field struggle to produce satisfactory results...don't believe me? go ahead and try out CoPilot with even something as simple as Excel.

The ETL process is also a complicated, one which most AI is not nor ever may be able to handle, data needs to be cleaned and standardized before AI can take a crack at it, the "AI" and yes I have to put that in quotes does not understand the context of anything, it is a prediction model using gradient boosters that performs quite well under controlled circumstances, thrown into any critical thought role it starts to lose pace. Furthermore nobody who works in the AI space authoring models ands understands the inner workings of "AI" treats this as anything more than a highly sophisticated toy...maybe in another 10 years we can come back to this question and see if we should start to worry.
1 0 Reply
Andrew Groom (Highly likely) 1 year ago
It's 2023 now and chatGPT4 can already do a lot of the components of a BA. Won't be long now..
0 2 Reply
Sam (Moderate) 1 year ago
Once a data model is available, a lot of the tasks can be automated. However, I don't see how computers will be able to bypass data quality issues and still give complete and correct data.
1 0 Reply
feiza Mohamed (Moderate) 1 year ago
Because business analysis may not be very reliant on human operation, it may be analyzed by machine using a sequence and pattern of human behaviour
0 0 Reply
Rahul (Low) 2 years ago
Still requires human elements like critical thinking.
1 0 Reply
Paul Norman (Low) 2 years ago
As a BI analyst, I automate my own job every chance I get. Data, business requirements, and technology are constantly changing.

I spend half of my time maintaining, tweaking, and fixing automation jobs - these include dashboards, data sets, and database tables.

It requires a technical person who is also an expert in their business domain to translate business requirements into data or reports that others need.
1 1 Reply
Honey shunga (Low) 3 years ago
A business analyst is all about identifying the critical areas in which it needs improvement which a manual or human-dependent work system.
0 0 Reply
Feiza Mohamed 1 year ago
i don't agree since the statistics can be easily programmed into the computer
0 0 Reply

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