Career Opportunities in Data Analytics

With technology developing at a rapid pace and new companies popping up constantly, the field of data analytics offers many dynamic career opportunities. In this blog, we will explore some of these opportunities that you can pursue after graduating from the Data Analytics Co-op program at Trebas.

Data Scientist

The role of a data scientist is one of the most popular in the data analytics field. It involves the collection, analysis, and interpretation of large data sets, as well as making predictions and recommendations based on the patterns you detect. This can also include implementing data frameworks, running testing and experiments, and developing products based on your analysis.

Business Intelligence Analyst

Business intelligence analysts primarily focus on helping organizations make data-driven decisions. The role also involves using data visualization tools to explain data trends and patterns to non-technical-minded stakeholders. For a business intelligence analyst, it is important to have experience in computer engineering and data analytics to make sure the patterns you interpret are accurate.

Data Engineer

Data engineers serve as the liaison between software developers and other data science professionals.  Responsibilities include designing and building infrastructure and managing data. All data engineers should be proficient in programming languages like Java and Python.

Marketing Analyst

A marketing analyst in data science is tasked with collecting and analyzing data in the areas of consumer behaviour, marketing campaign performance, market trends and more. It also includes using this data to strategically communicate findings to the company internally and craft effective marketing campaigns to reach more customers.

Financial Analyst

Financial analysts use their numerical and quantitative skills to communicate outcomes and forecast trends in business. These financial advisors have strong problem-solving and critical-thinking skills that help them solve financial quandaries. With experience in data science and analysis, financial analysts are equipped to effectively interpret financial data for organizations.

Risk Analyst

A risk analyst is someone who mitigates, identifies, and analyzes potential risks that could have an impact on a business. Risk analysts collect data from various sources and use tools such as Excel and Python to help craft their data-driven reports and recommendations.

Data Governance Analyst

Data governance analysts make sure the data that companies share is accurate and compliant with all legal and regulatory requirements. They help establish policies, procedures and standards followed throughout the organization and serve as the company's legal representative to governing bodies and organizations.

Logistics Analyst

Logistics analysts are in charge of the supply chain process, from the beginning of shipments and purchases to delivery. Through recording and analyzing data, logistics analysts determine cost-saving solutions for procurement, distribution, and the delivery of products. They handle invoices, electronic bills, payments and more through logistics databases.

Machine Learning Engineer

Machine learning engineers help create, reach, build and design AI tools to help with data analysis. They perform independent functions and are responsible for using their tools to transform models created by data scientists into real code.

Data Visualization Engineer

Data Visualization Engineers take the raw information and data that has been collected and transform it into visually appealing and easy-to-understand graphics and presentations using a variety of tools.  They must be adept at communicating this information in a way that everyone can understand.

There are truly a variety of exciting careers you can pursue in the world of data analytics. From data engineers to marketing analysts and financial analysts, there is a job for everyone regardless of your specialty and interests in the field.

In the Trebas data analysis program, you’ll gain the experience necessary to succeed in this industry.  To learn more, visit the Diploma in Data Analytics Co-op program page.

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