Data Engineers configure and manage data platforms, both on-premise and in the cloud, ensuring secure and seamless data flows from various sources, including relational and non-relational databases, data streams, and file stores. They use data services and tools to ingest, export, and transform data, collaborating with business stakeholders to meet data requirements and design solutions.

A Business Analyst although similar to a data analyst, focuses more on interpreting data from visualizations with a closer connection to business operations. They specialize in translating data insights into actionable business strategies. In many cases, one person can take on the responsibilities of both a data analyst and a business analyst.

A Business Intelligence Analyst focuses on analyzing data to provide actionable insights that support strategic decision-making. They collect, clean, and analyze complex datasets, developing reports, dashboards, and visualizations using tools like SQL, Tableau, or Power BI. Key skills include strong data analysis and statistical abilities, proficiency in BI tools and query languages, and the ability to interpret data to extract meaningful insights. Collaborating with stakeholders to understand their data needs, they help drive business strategies based on data findings.

Data Scientists perform advanced analyses to extract value from data. Their work can range from descriptive analytics to predictive analytics. Descriptive analytics assesses data through a process called Exploratory Data Analysis (EDA). Predictive analytics, used in machine learning, applies modeling techniques to detect anomalies or patterns. These analyses are key components of forecasting models.