Why You Should Become a Data Analyst and NOT a Data Scientist

In this video, we are discussing 3 reasons why should consider a role in data analytics instead of data scientist. I share the skills required and then breakdown the reasons. What are you thoughts on this topic?

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[xaheer]

A Data Analyst role is better suited for those who want to start their career in analytics. A Data Scientist role is recommended for those who want to create advanced machine learning models and use deep learning techniques to ease human duties.

[BigQueyrie]

I've worked as a Data Scientist in France, from 2016 to 2022, and realized one major thing: companies do NOT need Data Scientists in the first place. Moreover, most compagnies just use "Data Scientist" as a label for their data-related positions. However, Data Engineers and Data Analysts are currently in demand on the market (in France, as far as I'm concerned), as the roles are less ambiguous than those of Data Scientists. Hence my switch to a Data Analyst position at the end of 2022.

And I would argue that a Data Analyst with strong coding skills, who is able to accurately translate business questions into technical problems or build autonomously business metrics in databases is the true MVP of the data world as of now.

People aspiring to be Data Scientists should definitely specialize in a technical field (CV, NLP, reinforcement learning, etc.) or a specific business scope rather than being "a jack of all trades, master of none" Data Scientist, which is an evolving (not dying) breed anyway.

[Jasmine-ztgc]

3 advantages of being a Data Analyst instead of a Data Scientist

1. The job has a low barrier to entry.
2. Tasks are tangible.
3. The scope and skill of the job are standardized, making it easy to translate roles between companies.

I'm a Data Scientist, and I would say all the mentions in the video are so true!! However, I will keep in Data Scientist because of the salary 🤣

[mdsaidulislamsayed]

Data analyst: For people who want to get started with Data career ASAP.
Data scientist: For those who are already master data analyst, and are willing to level up and become harder to replace at workplace

[donnelly]

Recently dropping out of a software development degree at a local community college was the best decision I could make. I am not about to waste another four years in academia only to have the same bad luck I have had since 2017 when I graduated with my master's degree. Instead, I am focusing on Excel, SQL, Tableau/Power BI, and presentation skills. Once I am getting paid and not incurring more debt, then I will focus on learning coding and more advanced topics.

[josephetim]

I'm a software developer and I literally shed tears at the amount of academic qualifications and work experience you need to actually land a job in data science (I'm talking about 3 years of research, I didn't make this up. You can check it up if you care).
While you could land a job in software with 3+ years of projects and no working experience

[becayebalde]

After reading 80 jobs descriptions, I find Data Science much more interesting!
It’s becoming more standardized, it involves everything I love: Coding, creativity, problem solving.
I will soon start an internship as a Data scientist

[exytplu]

Low barrier to entry → Excess supply → More competition → Lower pay.

[Lemurai]

I didn’t know how much of a fast track to a good job being a data analyst could be. An old co worker from my first engineering job out of college was a data analyst, he got his certification at a community college, and the guy was making nearly 100k per year. Basically more than I was making right out of college, I was just impressed at how little time he spent in school compared to how much he was making, for a lot of engineers, you pretty much have to “prove” your experience/expertise before you start making those big$$$. I just wish I’d done more research before I went to college initially, I probably would’ve did that job.

[abhishekranjan]

My short term goal is to become Data Analyst.
My long term goal is to become Data Engineer.

[jorge]

My reflection on data science is the following: "Everybody talks about data science, however nobody knows and gives a clear definition of what a data science does." I think that since it is a new discipline, it will undergo the same transformation as the so-called "Web master" in its time, when there was no clear line of what a web developer should know. I think that the term data science will disappear over time, when the fields of study are well defined within the area of artificial intelligence, which has been responsible for these "cool" definitions of pure marketing.

[chrisdavis]

I agree with everything mentioned, although, Data Science will teach you everything you need…although you do not necessarily have to be in that field after, can do whatever field you want: Data Analyst, Financial Analyst, etc

[damianooi]

1) Low Barrier To Entry
2) Building tangible things ( build dashboards, rapports, etc)
3) Scope and Standardization

[micheleeichstetter]

I did study statistics and a bit of computer science and I went for analyst. I would never go for a data scientist job. Data scientist is a highly specialized workfield where nobody but your colleagues have an idea of what you do. If you want to get into management positions sometime in the future, being a data scientist makes it way harder. The analyst talks to all the department leads, knows about most things the company does and wants and is therefore more equipped for management positions. Data scientists don't have that and live a bit in their own bubble.

[brittanybutterworth]

I love watching your videos! I'm an electrical engineer who was introduced to Data Science in my MBA classes and I've been doubting myself being able to switch into this career and job family but your videos have been so helpful to give me confidence to know what I'm walking into and what my strengths are. Thank you so much for this, it really demystifies a lot and ironically this video cemented for me why I should be going for data science and not analytics! 😆❤❤

[fabiogori]

Two remarks:
1. I disagree that being a data analyst is a better career choice because it has a higher likelihood of getting obsolete. As data analytics tool are becoming more easy to use, more domain experts will be able to perform data analyses by themselves
2. A data scientist builds tangible outputs as well, they are all kinds of predictive models

[saumyajoshi-ymos]

Data analyst means practicing 1 trick 10 times
Data science means practicing 10 tricks 1 time each
Do data analyst wins

[rohitaswasarbhangia]

Good video. This made me go for data scientists role even more. Thanks for pointing out(vaguely) the roles of each job profile.

[pradeepmore]

Finding job in Data Science is too difficult. They require deep knowledge of deep learning, CV, cloud computing, Deployment and lot. Getting a job as a fresher is so hard.

[leo]

I have a master degree in aerospace engineering and i just started taking courses on my own for advanced excel, then SQL, Tableau/Power BI, Python, presentation skills and negotiation skills. My goal is to become a self learning data scientist but i kind of agree with this video and maybe I'll settle being a data analyst instead. Any suggestion is welcome!!!