1. Data Analyst: Interpret and visualize data to create insights and reports for decision-making and strategy.
2. Business Analyst: Bridge business needs with technology, analyzing processes to improve efficiency and effectiveness.
3. Data Scientist Manager: Oversee data science teams and projects, ensuring alignment with organizational goals
4. Data Science Consultant: Advise businesses on data strategies and solutions, guiding them to leverage data effectively.
5. Machine Learning Engineer: Focus on deploying and optimizing ML models, ensuring efficiency in production environments.
6. Data Product Manager: Manage data-driven products from ideation to release, prioritizing features based on insights.
7. Data Privacy Officer: Establish and monitor data privacy rules to comply with legislation and safeguard sensitive data.