For a long time, the data analyst was someone who collected, cleaned, processed, and analyzed data to glean insights. For the most part, these used to be mundane, repetitive tasks. With the rise of AI, much of the mundane work has been automated. Therefore, the data analyst role has upgraded to join the new set of AI careers. Today, data analysts prepare data for machine learning models and build meaningful reports based on the results.
As a result, an AI data analyst needs to know more than just spreadsheets. They need to be skilled in:
- SQL and other database languages to extract/process data
- Python for cleansing and analysis
- Analytics dashboards and visualization tools like Tableau, PowerBI, etc.
- Business intelligence to understand the market and organizational context
A data analyst earns an average salary of $65,000. However, high-technology companies like Facebook, Google, etc., pay in excess of $100,000 for data analyst roles.