Companies aiming to leverage business data effectively will likely need to invest in upskilling their existing workforce or hiring new talent, potentially leading to the creation of novel job descriptions. Data-driven organizations necessitate employees who possess outstanding analytical and communication proficiencies.

To fully exploit the potential of robust business analytics strategies, here are the types of personnel they will require:

1. Data Scientists: These professionals typically oversee the algorithms and models powering the company’s business analytics initiatives. Organizational data scientists either utilize open-source libraries such as NTLK for algorithms or develop their own to analyze data. They excel in problem-solving and often require proficiency in multiple programming languages, such as Python for tapping into pre-built machine learning algorithms, and SQL for extracting data from databases. Recently, there has been a proliferation of master’s and bachelor’s degree programs in data science offered by various educational institutions. These programs equip students with skills in computer science, statistical modeling, and other mathematical applications.

2.Data Engineers: Responsible for creating and maintaining information systems that gather data from diverse sources, clean and organize it, and consolidate it into a centralized database. They ensure data can be easily collected and accessed by stakeholders, providing organizations with a unified view of their data operations.

3. Data Analysts: Integral in communicating insights to both internal and external stakeholders. Depending on the organization’s size, they may engage in data collection, analysis, and visualization creation, or focus solely on crafting compelling narratives from the findings generated by data scientists.