How AI will change the role of data analysts? Explaining the latest trends for 2025
Hi, I'm Jon. The world of AI and technology is evolving every day, and the impact of AI is becoming increasingly significant, especially in the field of data analysis. Today, I'd like to explain in an easy-to-understand way how AI is changing the role of data analysts, based on the latest information available in 2025. A data analyst is a specialist who collects and analyzes data from companies and organizations to provide useful insights for business. I'll explain how this job will change with the advent of AI in a way that even beginners can easily understand.
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Advances in AI will make data analysts' work more efficient
As of 2025, the rapid development of AI technology is dramatically changing the daily work of data analysts. For example, generative AI (technology in which AI automatically generates text and images) has made it easier to aggregate and visualize data (making it easier to view in graphs, etc.). An article on note.com published in January 2024 points out that technological advances will enable non-experts to utilize data and simplify analysts' work. Specifically, data processing that previously took hours to do manually can now be completed in minutes using AI tools.
Furthermore, according to information published on chirutomoblog.com on July 21, 2025, demand for data analysts will continue even as AI evolves, and human-like insight and business understanding will be important skills for surviving in the AI era. While AI helps with data processing, the final decision-making and strategy planning are the responsibility of humans. For example, there is an increasing number of jobs that involve proposing business improvement measures based on the results of AI data analysis.
Amid these changes, tools that utilize AI are gaining attention. For example, a tool called Gamma uses AI to instantly create documents and slides, making it convenient for quickly sharing the results of data analysis. For more information,This articleThis article introduces the process, which should be useful for data analysts when presenting the results of their analysis.
Specific changes brought about by AI agents
An article updated on aiagent-navi.com on September 12, 2025, explains that AI agents (AI systems that perform tasks autonomously) are evolving data analysis. Companies face challenges in handling massive amounts of data, but AI agents will automatically analyze it and support business decisions. For example, AI will streamline data collection and preprocessing (the process of preparing data for analysis), which were previously manual tasks, allowing analysts to focus on developing more advanced strategies.
- Automatic data aggregation: AI compiles data in real time and detects anomalies. The Mercari Analytics Blog on July 23, 2025, states that AI agents are forcing a transformation in data analysts.
- Simplified visualization: Graph creation is automated using AI, reducing the amount of work required.
- Expanding business use: AI now explains its analysis results in natural language, making them easier to understand even for non-experts.
Additionally, looking at trends on X (formerly Twitter), a post from September 11, 2025, talks about how AI agents will eliminate the need for "aggregation" tasks and shift the focus to true analysis. In fact, a post from May 8, 2025, mentions that the number of job openings for data analysts in the US is on the rise, and that in addition to skills in SQL (a language for operating databases) and Python (a programming language), there is growing demand for machine learning (a technology that allows AI to learn from data). This means that the role of analysts is shifting from "technologists who handle data" to "advisors who guide businesses."
What skills are required for data analysts in the age of AI?
The influence of AI is also changing the skill set of data analysts. An article on chirutomoblog.com dated July 21, 2025, lists the following as three skills needed to survive in the AI era. These are uniquely human abilities that AI struggles with.
- Business Awareness: The ability to understand not just the numbers in the data, but the business context. AI processes the data, but it is up to humans to determine why that data is important.
- Communication Skills: Ability to communicate analysis results to the team in an easy-to-understand manner, utilizing reports created with AI tools to lead discussions.
- Ethical judgment: Analysis that takes into account data privacy and bias. Even when AI automates the process, ethical aspects remain the responsibility of the analyst.
Furthermore, a blog post on tokyoix.com dated January 19, 2024, explained the difference between data science (the field of scientifically analyzing data) and AI, emphasizing the need for data scientists (data science experts) even in the age of AI. Data analysts are increasingly using AI as a tool to support corporate decision-making. X's post also discussed the importance of data management (a system for effectively managing data) around September 15, 2025, highlighting the trend toward creating an environment where analysis can be done in natural language.
Practical examples in manufacturing and business
As an actual example, a July 21, 2025, article on ai-market.jp stated that AI is transforming data analysis in the manufacturing industry, improving production optimization and quality control. Even if data is scattered within a factory, AI can perform integrated analysis and predict equipment failures. Additionally, an August 13, 2025, article on cozies.jp introduced AI-based data analysis methods and tools, pointing out that AI automation is essential amid the explosive growth in data generation worldwide.
These examples show that data analysts are using AI to shift from simple data processing to providing strategic insights. For example, an article on isjapan.co.jp dated June 30, 2025, lists the benefits of automating data analysis with AI as improving work efficiency and accuracy.
Summary: AI is a data analyst's friend
As mentioned above, the latest information for 2025 shows that AI will streamline the role of data analysts and shift them to more valuable work. As routine work decreases, creativity and business skills will become more important. For those who want to use AI tools to quickly share analysis results, we recommend tools like Gamma. For more information,This article .
In summary, I believe that the work of a data analyst will become more interesting if they don't fear the changes brought about by AI and instead proactively embrace them. If you're a beginner, try out some simple AI tools first. I'm sure you'll find the world of data analysis more accessible.
Reference sources
- https://www.infoworld.com/article/4058946/how-ai-changes-the-data-analyst-role.html
- https://note.com/arakawamotohide/n/n5b3afc93c8bb (2024-01-04)
- https://chirutomoblog.com/data-analyst-ai-replace/ (2025-07-21)
- https://aiagent-navi.com/ai-agent/ai-agent-data-analysis-business/ (2025-09-12)
- https://tokyoix.com/blog/blog_detail/20240119_03.html (2024-01-19)
- https://note.com/mercari_data/n/nc7e0899cb5cf (2025-07-23)
- https://cozies.jp/media/107 (2025-08-13)
- https://isjapan.co.jp/ai-data/ (2025-06-30)
- https://ai-market.jp/industry/data-analysis-ai-manufacturing (2025-07-21)
- Related posts from X (formerly Twitter) (based on trends from August to September 2025)