Looking for some advice on what type of roles I should look for:
-BS in applied math
-Currently a data specialist
-Technical skills: SQL, Python (with various libraries like numPy, pyspark, pandas - but not something that’s used in my current role. It’s from self teaching and a past gig), Hive, GBQ, tableau, Powerbi, Microsoft access, alteryx
-basic understanding of ML/AI concepts, but realize that’s not really enough to do data science
-Managers say clients+communication are my strength

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Sounds like a data scientist with imposter syndrome to me. Yes, getting in will be a ton of work. Lean into networking and have proof you can build ML on hand via a portfolio. It's the next best thing after the title already on your resume. All the DL and Bayesian wizardry that I'm guessing is giving you anxiety isn't used much in most cases, and your past experience with Hive qualifies you on the big data checkbox over many other career switcher and new grad candidates. What you're probably most short on is leetcode skills, so brush those up and spread your wings!

Or skip the leetcode and join a BI team as their allstar (business analyst for more people work, any other type of analyst for more SQL work). Depending on analytics maturity at a company, this might actually have better long term career prospects unless you're eventually looking for an exit to product. Said BI team might also just be called an analytics team/org if a separate DS team doesn't exist.

likehelpful

Thank you, friend. This is both really insightful and encouraging. I appreciate it 😊

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Following. Similar background as you (BS Industrial Engineering) and skills, but also have a year working with GCP. I’ve got a pretty good grasp on Stats for ML, but feel like Data Engineering is the stretch role for me as it’ll force me to become a better programmer.

likefunny

Feel free to DM me if you ever want to bounce ideas back and forth or gripe together lol. I’ve also been perusing data engineering but have the same thoughts about it.

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Data analyst, BI analyst

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Also, given the skills, would it be impossible to break into data science? I’m concerned that data analytics is going to be a very saturated market soon and that feel that data science might be a better long term “specialized” career path

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Oh? I never would have thought that, thank you for sharing!

Hiring for a Sr. Data Analyst role. From a technical skillset standpoint, it's 50% Tableau, 40% sql on hive, 10% python. These percentages will fluctuate and even out as the analytics program matures. Send me a dm. I'd be glad to discuss further and the organization this role is for.

Disney’s Decision Science and Integration team is hiring people with that kind of background. Build that Tableau skill

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🔑 This is an excellent conversation for Black people determined to succeed in non-diverse environments!

🎯 Join today
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