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What is a data lake in basic terms?
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Are there RPA use cases in data work?
What’s everyone’s take on Alteryx?
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Real hard technical skills. First 3-4 years I looked in the mirror and realized I still knew nothing. Had to work really hard from then on to build up my technical capability and that gets harder to do later in your career when you’re balancing more responsibility.
Python and SQL. From there moved on to big data processing/architecture and cloud engineering.
I would have done a better job of routinely collecting metrics from projects for my resume while the information was still fresh. I’d also have been more receptive to recruiters.
I spent 15 years at the same company - instead of stumbling on info that people at lower levels/smaller markets were making more than me I wish I had consistently talked to recruiters to benchmark my salary. When I finally decided to leave and wanted to pivot to something new i felt at a disadvantage with the diversity of my experience and rusty interview skills.
Passing actuarial exams instead of getting the work done for others that couldn't get work done because they were studying for exams.
Finding much better managers and leaders.
I had a **four year** run of impossibly bad managers(not leaders) which lead to unemployment three times, almost food stamps once, moving across the country, and seriously deleterious impacts to my mental health.
I would focus on better leaders.
Models and languages are just tools - anyone can learn them.
@Data Science Lead 1 what questions should I ask in interviews to get a sense of leadership and managers
Go back to do industrial engineering instead of finance.
Sometimes it’s better to not be too technically competent so you can position yourself as the ‘leader’ not the ‘doer’.
You tend to get spread across more projects because you’re not actually doing the work, so you quickly gain breadth of shallow experience, networks, build up your personal profile on the back of other people actually doing the work.
Good counterpoint - we have our natural strengths. It’s great to lean in to them.
In a highly technical management role, knowing exactly what it takes to deliver can help guide a much larger body of work than any one person alone could accomplish!
Investing in equity markets.