Why I Quit Working as a Marketing Manager and Became a Data Scientist
As someone who has worked in the marketing industry for several years, I can confirm the fact that it is a dynamic and ever-changing field. However, recent advances in artificial intelligence (AI) and the growing importance of data in decision-making have completely changed the landscape.
I used to think that being a full-stack marketing manager was essential for success in this industry. After all, having a comprehensive understanding of all aspects of marketing, from strategy and planning to execution and analysis, appeared to be the ideal way to add value to any organization.
However, as the industry evolved, I realized that the world of marketing was becoming more specialized, with AI and data analytics playing an increasingly important role. This caused me to reconsider my career as a marketing manager. As someone who is well-versed in Google Analytics, I have discovered that the platform offers a wealth of information for data analysis and decision-making. Despite not having a university sucess in mathematics, I have enough fundamental knowledge from my school program to use the platform and analyze data effectively. I’ve also discovered that my lack of a strong mathematical background hasn’t stymied my ability to learn and use the tools available in statistics and math formulas. In fact, my prior experience has helped me to understand the practical applications of data in a business context, making learning and using tools like Jupiter Notebook, Collab, Excel a relatively simple process.
I clarified that now able to bring a unique perspective to the field of data analytics and use my expertise to assist organizations in making data-driven decisions. This necessitates a thorough understanding of the data science techniques, as well as the ability to effectively communicate with stakeholders. My previous experience as small tools Python programmer has undoubtedly been beneficial in my new role as a data scientist. I trully understand that can bring a unique perspective to the table, as well as an understanding of the business challenges that organizations face and an appreciation for the importance of data-driven decision-making.
One of the benefits of working as a marketing manager is the opportunity to work on a variety of marketing projects and activities while also seeing the impact of efforts on the business. However, the disadvantages include a limited ability to specialize in a specific area of marketing, reliance on cross-functional teams for data analysis and insights, and limited opportunities for advancement in a rapidly changing field.
So there are some pros and cons of my previous profession:
Pros:
- Possibility to work on a variety of marketing activities and projects
- Understanding of the impact of marketing efforts on the business
- Exposure to various business areas and customer insights
- The ability to work in a variety of industries and sectors
Cons:
- There are few opportunities to specialize in a particular area
- Limited opportunities for advancement in a rapidly changing field
I realized that, as much as I enjoyed marketing, I was really passing up the opportunities to work in the field of data science. The more I learned about this field, the more I was drawn to it, and I eventually decided to change. One of the most important lessons I’ve learned is that in the real world of AI, a broad understanding of data isn’t required. What matters is the ability to use data to solve specific problems and add value to the business.
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