Domain knowledge matters more than tools
Analyst Nte Daniel argued on social media that as AI and tools like Power BI and SQL become commoditised, deep business understanding—especially in finance or manufacturing—will be the real differentiator for analysts moving into leadership. (x.com)
A data analyst’s edge is shifting from software commands to business judgment, as artificial intelligence tools absorb more of the routine work. (x.com) Nte Daniel made that case in a social media post, arguing that analysts who understand finance, manufacturing, or another industry deeply will be better positioned for leadership than analysts defined mainly by Power BI or Structured Query Language skills. His account links to a portfolio and training work focused on Excel, Power BI, SQL, and dashboards. (x.com) (github.com) Microsoft’s own Power BI certification guide already frames the job that way. The company says a Power BI data analyst should deliver insights by “applying domain expertise” and work closely with business stakeholders to identify requirements. (learn.microsoft.com) At the same time, Microsoft is adding Copilot features to Fabric and Power BI that can help transform data, generate insights, and create visualizations and reports. Those features push more of the mechanics of analysis into the software itself. (learn.microsoft.com) Employers are also signaling that the mix of valued skills is changing. The World Economic Forum’s Future of Jobs Report 2025, based on more than 1,000 employers representing more than 14 million workers, says analytical thinking remains the most sought-after core skill through 2030. (weforum.org) Harvard Business School research published in February 2026 found demand is weakening for jobs built around structured, repetitive tasks, while employers are asking for more artificial intelligence-related skills in roles that can be augmented rather than automated. That trend fits jobs where analysts interpret messy business problems instead of only producing charts. (library.hbs.edu) In practice, domain knowledge means knowing which number matters before opening the dashboard. In finance, that can mean understanding margin, cash flow, or regulatory reporting; in manufacturing, it can mean scrap rates, downtime, yield, and bottlenecks on the line. (learn.microsoft.com 1) (learn.microsoft.com 2) That does not make tools irrelevant. Daniel’s own work centers on teaching those tools, and Microsoft’s training still expects analysts to prepare data, build models, and visualize results; the shift is that those tasks increasingly sit alongside stakeholder management and business context, not above them. (youtube.com) (learn.microsoft.com) The argument surfacing in analyst circles is narrower than “tools do not matter.” It is that when more people can use the same software and more software can generate the same first draft, the analyst who knows how a business actually makes or loses money has the stronger claim to the next promotion. (x.com)
