Career Advice

You are monitoring the launch of a critical new product feature. The dashboard shows “New Sign-ups” tracking steadily against the goal. You report the success to the executive team: “Growth is stable. We are on track.” Two hours later, the Head of Customer Support pings you. “Why are we getting flooded with tickets? Nobody can […]

You sit down at your desk. You open your SQL client or your Python notebook. You stare at the blinking cursor. You have a vague mandate from your stakeholder: “Figure out why churn is up.” So, you do what most data analysts are trained to do. You start digging. You pull every column related to […]

For the last several weeks, we have focused heavily on the technical acceleration of your career. We explored how to integrate Artificial Intelligence into your workflow and set three distinct goals to automate your redundancy. That was the science. Now, we return to the art. You can be the most technically gifted analyst in your […]

Welcome to 2026! The time for generic resolutions is over. Last year, I challenged you to become a better storyteller. That remains true, but the ground has shifted beneath us. The rapid evolution of AI means the role of the “Junior Data Analyst” is effectively dead. If your plan for this year is simply to […]

The presentation isn’t over when you show the final visual. It’s over when you survive the Q&A. This is where reputations are forged or shattered. You’ve spent weeks prompting an LLM to help wrangle data, form hypotheses, build models, and craft a narrative. You know your work is solid. But what happens when the VP […]

You have successfully executed the first four stages of this Masterclass. You used the Command Framework to structure your intent. You turned the LLM into a Data Engineer to clean your pipeline. You treated the AI as a Sparring Partner to destroy your own biases. Finally, you commanded the Technical Master to write the Python […]

The three-part Command Framework is now your standard. You structure your prompts and demand role, context, and instructions, effectively ending generic LLM usage. Last week, we treated the LLM as an Analytical Sparring Partner. We eliminated confirmation bias. The LLM presented you with a counter-hypothesis you must now test. This week, we pivot to advanced […]

We are back with Part 3 of The Data Analyst’s LLM Masterclass. In Part 1, you learned the Command Framework to direct the AI. In Part 2, you learned to treat the LLM as a Data Engineer to build surgical cleaning pipelines. Now, you have a clean dataset. The typical analyst’s next move is predictable. […]

Welcome back to The Data Analyst’s LLM Masterclass series. In Part 1, we stopped asking and started directing using the Command Framework. Now, we apply that framework to your daily reality. You have your raw data. At this stage, you could use an LLM for many things—summarizing its contents, generating hypotheses, or suggesting enriched data […]

Doubtless you’re using LLMs like ChatGPT, Gemini, and Claude. But you probably have a nagging feeling that you’re not using them to their full potential. When you use an LLM for a real analytical task, I’ll bet the results are frustrating. You ask for an in-depth analysis; you get a generic summary. You ask for […]