At the beginning of July I had a chance to be in Munich on Analytics Pioneers ummit with presentation about correlation analysis. I still didn’t prepare a summary after that event, and text version of my deck, so let me just place here some links.
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I talk to a lot of analysts every day – product analysts, data engineers, web and digital analysts, CRO managers and growth hackers. When discussing the next analytics project, people are ready to spend days describing the complexity of the implemented data pipelines, the peculiarities of using such wonderful platforms as dbt, Dataform, the endless variety of tools inside GCP, AWS and Azure, and the opportunities they provide them.
And I really like discussions with that people! What they are actually doing, how do they achieve things they wanted to achieve. Sometimes people from data act like a stealth warriors, but then prepare a comprehensive analytics infrastructure, which then can be used by business for decision making process. Yeah, it is hard to overestimate the value of this activity.
But in this post, I want to speak not about data pipelines preparation, but about actual role of digital analyst, and maybe about actual opportunities, which currently we have.
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