• Collect, clean and preprocess data
• Analyze data
• Create data visualizations
• Report, interpret and communicate findings
• Test hypotheses
• Continuous learning

• Data collection of structured and unstructured data
• Build, test and verify predictive models
• Employ expert data analysis
• Create visualizations
• Report, interpret and communicate findings
• Test hypotheses
• Continuous learning

Entry-level positions and internships are generally available.

Data analyst positions are a good entry point to gaining more experience, responsibility and skills to become a data scientist or grow as an analyst.

Entry-level positions typically require you to:

• Know SQL (managing data)
• Be proficient in analyzing data (using statistics and tools)
• Create data visualizations
• Be willing to learn

Few entry-level positions are available, though you can take advantage of an internship.

Typically, an advanced to expert-level position will require experience and or a STEM degree.

These positions typically require you to:

• Connect to APIs and various sources of data collection, work with non-traditional data and massive data sets
• Be an expert in data analytics
• Create data visualizations
• Build predictive models using advanced Machine Learning and deep learning methodologies and tools