Types of jobs our Business Analytics & Artificial Intelligence graduates get hired for:
Data scientists use advanced statistical modeling techniques to analyze business data and make profitable decisions. Since they use data to make predictions, they require a strong knowledge of data analytics software tools, programming languages such as Python or R and advanced data-visualization skills.
AI/ML Architects use advanced coding and programming skills for data preprocessing, training, fine-tuning and deploying advanced machine learning and AI models for addressing specific business needs. They use advanced statistical methodologies, cloud platforms and AI methods of Generative AI and Large language models for extracting insights for business development.
Data Engineers work across firm’s technology services on different projects and in a variety of settings to build systems that collect, manage and convert raw data into usable information. The goal is to make data available in a secure and performant manner to support the technical, operational, and business needs for future business analysis and data-driven decision making.
A cybersecurity analyst protects company hardware, software, and networks from cybercriminals. The analyst’s primary role is to understand company IT infrastructure in detail, to monitor it at all times and to evaluate threats that could potentially breach the network. The cybersecurity analyst continuously looks for ways to enhance company network security and protect sensitive information.
Business analysts evaluate company and industry data to find valuable insights for profit-making opportunities. This role requires skills of programming, data querying and statistical know-how, along with the ability to use data visualization skills for effective storytelling. Business analysts analyze data and work with tools and languages such as SQL to extract, transform and load data necessary to make effective data-driven decisions.
The primary role of an analytics consultant is to help a business identify and define business problems and help uncover and understand the data required to provide insights to a company to help a business grow and add value.
Operations analysts focus on the internal processes of a business, which may include product manufacturing and distribution, logistics, inventory management and the general streamlining of business operations to cut costs and improve customer satisfaction and profitability.
Marketing analysts need knowledge of basic marketing concepts, digital marketing, customer analytics and data analytics techniques. Marketers often use tools like Google Analytics, Twitter Analytics and other reporting tools to analyze marketing trends and patterns.
