If I want to leave consulting for a junior data sci/data analyst role what should I know and at what level of proficiency? Should I be writing custom models in python or just be able to do some kaggle

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Hiring for a junior data analyst role, we just wanted someone who had any type of coding and data experience and wanted to learn more, but the salary would not have been a step up for you coming from D. Write clean code someone would want to look at. That's the biggest issue I see with people who are getting started, not any particular lack of content knowledge.

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Is there a mid-level role avaliable? Currently data analytics consultant. Trying to get into data science and do more modeling work; familar with BI, SQL, R, some pyhton. Learned Stata in a week just for a project before.

And should I be passing hard SQL problems on hacker rank?

In the DC area that exited from Deloitte for a data science role at a local startup. I had created a couple of models that were deployed in the form of cron jobs, had pretty strong sql skills, and had some visualizations to show off that made the switch easier.
If I could go back, I would have probably wanted a bit more knowledge around big data processing using Spark, probabilistic data structures for querying large data stores, and building apis that don’t suck

I think entry-level would be intermediate SQL, coding in R/Python, and using existing libraries.

Writing custom algos is not entry-level

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