Why you shouldn't look for a job as a Data Analyst if you can't find a job as a Data Scientist?

I often hear (including when I was a junior Data Scientist) the recommendation to start as a Data Analyst as a stepping stone toward becoming a Data Scientist. While the roles of Data Scientist and Data Analyst may appear similar at first glance, the fundamental differences between them can lead to a double disappointment: working in a job you don’t enjoy as an analyst and realizing that your chances of becoming a Data Scientist haven’t improved.

A Data Scientist focuses on building advanced models, machine learning, and analyzing Big Data to develop products or services.

A Data Analyst, by contrast, focuses on creating reports, analyzing trends, and supporting business decision-making.

If your goal is to develop models and innovative tools, transitioning to an analyst role may feel unfulfilling and could delay your professional growth. Tools like Tableau, Power BI, or Excel are less relevant to the field of Data Science. Investing time in skills that aren’t directly applicable to Data Science might hinder your progress.

Full disclosure: I mentor aspiring Data Scientists in their job search process. I’ve seen individuals who chose to start as analysts and later found themselves essentially starting over from scratch.

In my opinion, your career path not only affects your salary and professional standing but also your sense of fulfillment. If your goal is to become a Data Scientist and you have the time to invest, don’t compromise. Instead, focus on learning tools and technologies relevant to Data Science and work on projects to build your portfolio.

I’d love to hear your thoughts—what do you think?