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Data Science and Analytics

Data Scientist: Analyzing big data, building predictive models, and utilizing machine learning techniques.
Data Analyst: Extracting analytical reports to support decision-making based on available data.
Data Engineer: Designing and building systems for managing and processing big data.
Business Intelligence (BI) Analyst: Using business analytics tools to extract operational insights.
Machine Learning Engineer: Building and training AI and machine learning models based on algorithms to predict events or classify data.
AI Engineer: Designing and developing solutions based on artificial intelligence.
Marketing Data Analyst: Analyzing customer behavior, advertising campaigns, and digital marketing performance.
Data-Driven Cybersecurity Analyst: Using data for the early detection of threats and the analysis of cyber attacks.
Quantitative Data Analyst (Quant): Specializing in building mathematical and statistical models to analyze financial data and make complex investment decisions.
Data Architect / Data Infrastructure Engineer: Responsible for designing, building, and maintaining infrastructure for data management, transfer, storage, and preparation for subsequent analysis.