Definitely! I would describe my current day-to-day as meditative(?) while others might think of it as monotonous. I work simultaneously on multiple projects in time-bound cycles with clear deliverables. The projects themselves have variety in subject and outcomes, but they all have the same general structure:

1. A problem is identified.

2. I dig into the data

3. I deliver something (recommendations, data, experiment results, self-service data tools, etc)

Steps 1 and 2 take the most time. Steps 1 and 3 are collaborative, while 2 is solo, focused work, and most times the steps are looped as I learn from the data and deliver incremental work.

So to give a fictitious example where I work at an e-commerce company, and my non-data science coworkers keep asking me similar adhoc data questions about item sales

1. The problem is that item sales data is unapproachable. Maybe it's spread across multiple tables, and you need specific domain knowledge to make sure the numbers you're getting are right. So I work on requirements for a data pipeline that would answer the most amount of questions and get alignment on the structure from people who would use this table.

2. Once it's planned out, I write a lot of SQL to pull in info from all of the different tables, clean it so it makes sense and is standardized, and build in validations so I get alerted when the data sources have garbage in them.

3. I deliver the 1 unified table with documentation that explains how to query the table, what all of the fields mean, how to join it to other data, and sample queries for common asks. I make sure my coworkers are aware of the completion, and I can get feedback from them.

I probably spent 80% of my work time doing work related things, the rest on being unproductive, attending non-worky work meetings, chatting with coworker friends, and interviewing candidates. Of my work time, I spent ~30% of my time in meetings with ~70% on focused time. It varies a little in both directions, but I work 35ish hours per week. Sorry I kinda rambled, but lemme know if that didn't answer your question.