Choosing the Right Job for Commerce Students before Pursuing Business Analytics

As a commerce student, you are naturally inclined towards understanding the business world. Whether you want to gain experience or simply enhance your skills, choosing the right job or internship can be a crucial step in preparing for a business analytics course. In this article, we will explore the importance of having a coding background, understanding business problems, and the right approach to starting your journey in data analysis.

The Role of Coding and Excel in Business Analytics

While a strong foundation in business fundamentals is essential, a coding background can significantly enhance your capabilities in the business analytics field. Knowledge of programming languages such as Excel, SQL, automation, and VBA is highly valuable. These skills allow you to manipulate and analyze data efficiently, which is crucial for data-driven decision making. Furthermore, understanding how to use tools like Excel for automation and dashboard creation is a valuable skill set.

It's important to note that while coding languages like Excel and SQL are valuable, the ability to understand and solve business problems is equally crucial. Business analytics is not just about writing code or handling data; it's about deciphering insights and providing actionable recommendations. While you can always learn coding tools, having a deep understanding of business requirements and being able to deliver relevant solutions will set you apart.

Relevant Experiences to Consider

For commerce students, there are several experiences that can be particularly beneficial before pursuing a business analytics course. Here are a few options to consider:

Lead Generation and Advanced Excel

If you are interested in data-driven roles, lead generation can be an excellent area to explore. This role often requires proficient use of Excel and a deep understanding of data analysis. By gaining experience in lead generation, you can develop skills in advanced Excel functions, such as pivot tables, macros, and data visualization. This practice will not only enhance your technical skills but also provide hands-on experience in real-world scenarios.

Data-Driven Roles in Account KPOs

Jobs in fields like account KPOs (Knowledge Process Outsourcing) can also be a good fit for commerce students. Companies in this domain often require individuals who can handle large datasets and perform data analysis quickly. While these roles may be competitive, they are a great way to gain practical experience in handling data. Additionally, these positions often require a strong understanding of business processes, which aligns well with your background in commerce.

Companies Preferring Engineering Students

It's worth noting that some companies prefer engineering students or those with dual expertise in both business and programming. However, this doesn't mean you should shy away from pursuing a job related to business analytics. Engineering companies often require specific technical skills, while commerce students like you can bring a unique perspective to the table. For example, during an interview, an accounting KPO company rejected an engineering student with an MBA despite his experience. This highlights the importance of understanding the specific requirements of different companies and tailoring your approach accordingly.

Final Thoughts and Recommendations

Before making a decision, it's crucial to do thorough research on different companies and roles. Consider factors such as the specific tools and technologies used, the company culture, and the types of projects you might work on. Start with one tool or role that aligns with your interests and where you can find a plethora of online resources for learning. It's also important to think critically about the tasks and requirements of the role before you commit to it.

Remember, every step you take towards learning and gaining experience is a stepping stone towards your eventual goal of pursuing business analytics. With the right mindset and preparation, you can build a strong foundation on which to base your career in data analysis.