Have you had experience working with databases for business analytics (BI)?

Yes, I have experience working with databases for business intelligence (BI). This typically involved:

• Using SQL to extract and aggregate data from OLAP cubes or data warehouses.
• Working with ETL tools for data preparation.
• Utilizing Python libraries such as pandas for data analysis and processing.
• Connecting to databases through libraries like SQLAlchemy or pyodbc.

Example of connecting to a database and fetching data using pandas:

import pandas as pd
import sqlalchemy

engine = sqlalchemy.create_engine('postgresql://user:password@host:port/dbname')
query = 'SELECT * FROM sales WHERE date >= "2024-01-01"'
data = pd.read_sql(query, engine)
print(data.head())

This approach allows for quick analysis of large data volumes to support business decisions.