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Information Dissemination
Three months into a data analyst role at Daikin Europe, learning what the job actually asks: profile, clean, analyze, tell the story, and keep refining the black box of tools that gets you there.
Started my third month as a (customer) data analyst at Daikin Europe. I learned what it means to be a data analyst, or at least in my current role.
My manager, Darren, would tell me that it’s important to establish a process called information dissemination. It basically means I look for the data sources, the questions, analyze them, get the insights, put together a simple report, and tell it to someone.
So that’s what I do, trying to be as efficient as possible each time.
Data profiling, cleaning, processing, analyzing, reporting.
New challenges each time. I answer questions.
I find profiling and visualizing to be most important. Then tell stories out of it, as comprehensibly as possible.
How do I do it? Darren would call it my black box, which I need to refine and extend. All tools as long as I get some insight. Excel, SQL queries, BI, VS Code, Python libraries, AI agents, the company’s Copilot Premium. Use all resources to the best of my ability.
There’s still a lot more to learn.
