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Hello, anyone here who can guide regarding the interview process and preparation for Google Cloud Migration Consultant role?
Do they have the hiring committee and team match processes for India hiring as well or is it more straightforward?
Recruitment team has reached out and scheduled the first round and I am extremely nervous!!!*bites nails*
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If you really want to add a valuable skill, learn how to apply critical thinking to the datasets you’re analyzing. Far too many people in this industry focus on the technology, and far too few focus on the quality and validity of the underlying data (which is the truly valuable part of the whole process).
You’d be surprised how few people exercise it though.
Python or R will be useful. Also recommend Tableau as it tends to be more popular across healthcare. Always learn Excel. Learn basic stats and when to use certain kinds of tests / analyses.
Python and SQL. Know how to deploy custom models in Epic’s Nebula platform. Excel still comes in handy.
Lots of SQL. We work with Databricks, so for the non-SQL stuff, R and Python are pretty much interchangeable and you only really need to know one or the other
Is there a lot of demand in the big 4 for experience/certs in databricks?
Can speak from past internships and also client work in healthcare.
It’s a lot of Python and SQL for sure, but many places are still using SAS. Cloud infrastructure is definitely on the rise. With that, Spark/PySpark would be good to know as cloud computing is increasing its utilization.
BI skills and visualization I’d say are also good, depending on the job requirements. Maintaining and creating dashboards and putting together a visually excellent and informative decks are excellent skills.
Some healthcare data analysts and data scientists could be a lot more research-oriented, so core statistical skills, being able to perform categorical and continuous data analysis, proper experiment design, survival analysis. And coding with SAS or R or Python would be all applicable (although I love R and I will fight anyone about it)
From a technical skill standpoint, SQL and Python; SQL for pre-processing and data wrangling of large datasets and Python for basic ML modelling